Dieses Bild zeigt Tim Ricken

Tim Ricken

Herr Univ.-Prof. Dr.-Ing.

Institutsleiter
Institut für Statik und Dynamik der Luft- und Raumfahrtkonstruktionen
[Bild: Max Kovalenko]

Kontakt

+49 711 685 63612
 +49 711 685 63706
Visitenkarte (VCF)

Pfaffenwaldring 27
70569 Stuttgart
Deutschland
Raum: 00.048

  1. 2026

    1. Azhdari, M., Kamrava, M., Rezazadeh, G., Pathak, R., Schulze-Späte, U., Ricken, T., & Seyedpour, S. M. (2026). From mechanical models to clinical reality: A systematic review of finite element advances in dental implant design, biomechanics, and optimization. Materials Today Communications, 50, 114314. https://doi.org/10.1016/j.mtcomm.2025.114314
    2. Mandl, L., Nayak, D., Ricken, T., & Goswami, S. (2026). Physics-informed time-integrated DeepONet: Temporal tangent space operator learning for high-accuracy inference. Computer Methods in Applied Mechanics and Engineering, 455, 118917. https://doi.org/10.1016/j.cma.2026.118917
    3. Brodbeck, M., Bertrand, F., & Ricken, T. (2026). Adaptive Finite Element Methods Based on Flux Equilibration Using FEniCSx. In J. S. Dokken, H. N. Finsberg, J. S. Hale, M. E. Rognes, & M. W. Scroggs (Eds.), The FEniCS Project (Vol. 19, pp. 1–12). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-17396-6_1
    4. Pathak, R., Seyedpour, S. M., Kutschan, B., Thom, A., Thoms, S., & Ricken, T. (2026). Computational modeling of sea ice freezing dynamics across scales. International Journal of Mechanical Sciences, 309, 111010. https://doi.org/10.1016/j.ijmecsci.2025.111010
    5. Araz, F., Seyedpour, S. M., Ricken, T., & Armiti-Juber, A. (2026). Asymptotic reduction modelling for partially saturated soil based on the Theory of Porous Media. Computational Mechanics. https://doi.org/10.1007/s00466-026-02761-2
    6. Azhdari, M., Rezazadeh, G., Pathak, R., Tautenhahn, H.-M., Tautenhahn, F., Ricken, T., & Seyedpour, S. M. (2026). A critical review of non-Fourier heat transfer theories with phase lag in bio-heating: Explaining the variations in reported phase lag coefficients. International Journal of Thermal Sciences, 220, 110376. https://doi.org/10.1016/j.ijthermalsci.2025.110376
    7. Padhy, M., Ricken, T., & Armiti-Juber, A. (2026). From quasi-static to dynamics: A hierarchical asymptotic model and multigrid-in-time method for poroelasticity. Computer Methods in Applied Mechanics and Engineering, 454, 118837. https://doi.org/10.1016/j.cma.2026.118837

  2. 2025

    1. Pathak, R., Seyedpour, S. M., Kutschan, B., Thoms, S., & Ricken, T. (2025). A coupled multiscale description of seasonal Physical--BioGeoChemical dynamics in Southern Ocean Marginal Ice Zone. Environmental Modelling & Software, 185, 106270. https://doi.org/10.1016/j.envsoft.2024.106270
    2. Suditsch, M., Wagner, A., & Ricken, T. (2025). Onco*: An umbrella Python framework for modelling and simulation of oncological scenarios. Journal of Computational Science. https://doi.org/10.1016/j.jocs.2025.102533
    3. Suditsch, M., Egli, F. S., Lambers, L., & Ricken, T. (2025). Growth in biphasic tissue. International Journal of Engineering Science. https://doi.org/10.1016/j.ijengsci.2024.104183
    4. Gupta, I., Schanz, M., & Ricken, T. (2025). Thrombosis Simulation Using a Triphasic Porous Medium Model: Application to Aortic Dissection. Journal of Engineering Mechanics, 151, Article 9. https://doi.org/10.1061/JENMDT.EMENG-8468
    5. Ricken, T., Azhdari, M., Rezazadeh, G., Pathak, R., & Seyedpour, S. M. (2025). Heat Transfer Modeling in Two-Dimensional Porous Composite Structure with Polymer Matrix and Metal Particles Using the Virtual Element Method Under Laser Heating. https://doi.org/10.1007/978-3-031-93213-7_32
    6. Mandl, L., Goswami, S., Lambers, L., & Ricken, T. (2025). Separable physics-informed DeepONet: Breaking the curse of dimensionality in physics-informed machine learning. Computer Methods in Applied Mechanics and Engineering. https://doi.org/10.1016/j.cma.2024.117586
    7. Tahouni, S., Azhdari, M., Rezazadeh, G., Fathalilou, M., Pathak, R., Ricken, T., & Seyedpour, S. M. (2025). Experimental and numerical analysis of heat transfer in polymer composites with metallic inclusions using virtual element method. Materials & Design. https://doi.org/10.1016/j.matdes.2025.114172
    8. Armiti-Juber, A., & Ricken, T. (2025). A multigrid two-scale modeling approach for nonlinear multiphysical systems. Computer Methods in Applied Mechanics and Engineering, 433, 117523. https://doi.org/10.1016/j.cma.2024.117523
    9. Brodbeck, M., Grünfelder, N., Bertrand, F., & Ricken, T. (2025). Equilibration‐Based A Posteriori Error Estimates for Solid Mechanics. Pamm. https://doi.org/10.1002/pamm.70045
    10. Grünfelder, N., Padhy, M., Armiti-Juber, A., Seyedpour, S. M., Waschinsky, N., & Ricken, T. (2025). Reduced-order modeling of lattice structures through iterative beam fitting and static mesoscale projection. Results in Engineering. https://doi.org/10.1016/j.rineng.2025.106529
    11. Azhdari, M., Rezazadeh, G., Pathak, R., Tautenhahn, H.-M., Tautenhahn, F., Ricken, T., & Seyedpour, S. M. (2025). Non-Fourier bioheat transfer modeling: An extensive critical review of state of the art, caveats, and future directions. International Communications in Heat and Mass Transfer, 169, 109509. https://doi.org/10.1016/j.icheatmasstransfer.2025.109509
    12. Ali Mirza, Z., Azhdari, M., Kolomenskiy, D., Rezazadeh, G., Ricken, T., Pathak, R., Tautenhahn, H.-M., Tautenhahn, F., & Seyedpour, S. M. (2025). Enhancing laser therapy procedure through surface temperature control in multi-layered skin tissue. Journal of Thermal Biology, 129, 104106. https://doi.org/10.1016/j.jtherbio.2025.104106
    13. Azhdari, M., Rezazadeh, G., Ricken, T., Pathak, R., Tautenhahn, H.-M., Tautenhahn, F., & Seyedpour, S. M. (2025). Temperature distribution in multi-layered skin tissue during laser irradiation considering epidermis sublayers: Virtual Element Method approach. Thermal Science and Engineering Progress, 59, 103297. https://doi.org/10.1016/j.tsep.2025.103297
    14. Arasteh-Khoshbin, O., Seyedpour, S. M., Mandl, L., Lambers, L., & Ricken, T. (2025). Comparing durability and compressive strength predictions of hyperoptimized random forests and artificial neural networks on a small dataset of concrete containing nano SiO2 and RHA. European Journal of Environmental and Civil Engineering, 29, Article 2. https://doi.org/10.1080/19648189.2024.2393881
    15. Brodbeck, M., Suditsch, M., Seyedpour, S. M., & Ricken, T. (2025). Phase transition in porous materials: effects of material parameters and deformation regime on mass conservativity. Computational Mechanics, 75, Article 3. https://doi.org/10.1007/s00466-024-02557-2
    16. Pathak, R., Seyedpour, S. M., Kutschan, B., Thom, A., Thoms, S., & Ricken, T. (2025). Simulating sea ice freezing using a continuum mechanical multi-phase and multi-component homogenization framework. Cold Regions Science and Technology, 239, 104591. https://doi.org/10.1016/j.coldregions.2025.104591
    17. Kutschan, B., Thoms, S., Thom, A., Pathak, R., & Ricken, T. (2025). Phase boundary dynamics for ice nucleation and growth processes in fresh and sea water. Physica D: Nonlinear Phenomena, 481, 134855. https://doi.org/10.1016/j.physd.2025.134855
    18. Grünfelder, N., Padhy, M., Armiti-Juber, A., Seyedpour, S. M., Waschinsky, N., & Ricken, T. (2025). Reduced-order modeling of lattice structures through iterative beam fitting and static mesoscale projection. Results in Engineering, 27, 106529. https://doi.org/10.1016/j.rineng.2025.106529
    19. Myshkina, M., Casabianca, E., Schnurpel, A., Ricken, T., Tautenhahn, H.-M., & König, M. (2025). Assessing the Impact of AI and Digital Twins on Clinical Decision-Making in Hepatology and Hepatobiliary Surgery. https://doi.org/10.20944/preprints202509.1164.v1
    20. Egli, F. S., Seyedpour, S. M., Pachenari, M., Pierce, D. M., & Ricken, T. (2025). Computational modeling of articular cartilage: Mechanical experiments, sensitivity analyses, parameter identification, and validation. Acta Biomaterialia. https://doi.org/10.1016/j.actbio.2025.07.043
    21. Almasi, A., Ricken, T., & Pierce, D. M. (2025). Finite elements of multiscale mixtures (FE2M) in three dimensions: theory, numerical implementation, and analyses. Computational Mechanics. https://doi.org/10.1007/s00466-025-02669-3

  3. 2024

    1. Brodbeck, M., Egli, F. S., Suditsch, M., Seyedpour, S. M., & Ricken, T. (2024). On the influence of non-linearity within two-phase poro-elasticity: Numerical examples and counterexamples. Examples and Counterexamples, 6, 100167. https://doi.org/10.1016/j.exco.2024.100167
    2. Soltani, K., Seyedpour, S. M., Ricken, T., & Rezazadeh, G. (2024). Transient high-frequency spherical wave propagation in porous medium using fractional calculus technique. Acta Mechanica, 235, Article 4. https://doi.org/10.1007/s00707-023-03780-3
    3. Pathak, R., Seyedpour, S. M., Kutschan, B., Thom, A., Thoms, S., & Ricken, T. (2024). Modeling freezing and BioGeoChemical processes in Antarctic sea ice. Pamm, 24, Article 2. https://doi.org/10.1002/pamm.202400047
    4. Maike, S., Schröder, J., Bluhm, J., & Ricken, T. (2024). A mesh--in--element method for the theory of porous media. International Journal for Numerical Methods in Engineering. https://doi.org/10.1002/nme.7565
    5. Grünfelder, N., Savall, B. P., Seyedpour, S. M., Waschinsky, N., & Ricken, T. (2024). Exploring the dependencies of Poisson’s ratio in auxetic structures. Pamm. https://doi.org/10.1002/pamm.202400073
    6. Gerhäusser, S., Lambers, L., Mandl, L., Franquinet, J., Ricken, T., & König, M. (2024). Simulation of zonation-function relationships in the liver using coupled multiscale models: Application to drug-induced liver injury. https://doi.org/10.1101/2024.03.26.586870
    7. Grünfelder, N., Savall, B. P., Seyedpour, S. M., Waschinsky, N., & Ricken, T. (2024). Exploring the dependencies of Poisson’s ratio in auxetic structures. Pamm. https://doi.org/10.1002/pamm.202400073
    8. Seyedpour, S. M., Azhdari, M., Lambers, L., Ricken, T., & Rezazadeh, G. (2024). One-dimensional thermomechanical bio-heating analysis of viscoelastic tissue to laser radiation shapes. International Journal of Heat and Mass Transfer, 218, 124747. https://doi.org/10.1016/j.ijheatmasstransfer.2023.124747
    9. Lambers, L., Waschinsky, N., Schleicher, J., König, M., Tautenhahn, H.-M., Albadry, M., Dahmen, U., & Ricken, T. (2024). Quantifying fat zonation in liver lobules: an integrated multiscale in silico model combining disturbed microperfusion and fat metabolism via a continuum biomechanical bi-scale, tri-phasic approach. Biomechanics and Modeling in Mechanobiology. https://doi.org/10.1007/s10237-023-01797-0
    10. Pi Savall, B., Seyedpour, S. M., & Ricken, T. (2024). Experimental Analysis of Strain and Thermal Behaviour on 3D Printed Flexible Auxetic Structures. In H. Altenbach, L. Hitzler, M. Johlitz, M. Merkel, & A. Öchsner (Eds.), Lectures Notes on Advanced Structured Materials 2 (pp. 85–102). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-49043-95
    11. Azhdari, M., Rezazadeh, G., Lambers, L., Ricken, T., Tautenhahn, H.-M., Tautenhahn, F., & Seyedpour, S. M. (2024). Refining thermal therapy: Temperature distribution modeling with distinct absorption in multi-layered skin tissue during infrared laser exposure. International Communications in Heat and Mass Transfer, 157, 107818. https://doi.org/10.1016/j.icheatmasstransfer.2024.107818
    12. Gupta, I., Schanz, M., & Ricken, T. (2024). Triphasic Thrombosis Model: A Computational Study of Type B Aortic Dissection. https://doi.org/10.1101/2024.05.07.592918
    13. Tautenhahn, H.-M., Ricken, T., Dahmen, U., Mandl, L., Bütow, L., Gerhäusser, S., Lambers, L., Chen, X., Lehmann, E., Dirsch, O., & König, M. (2024). SimLivA–Modeling ischemia‐reperfusion injury in the liver: A first step towards a clinical decision support tool. GAMM-Mitteilungen. https://doi.org/10.1002/gamm.202370003
    14. Trivedi, Z., Wychowaniec, J. K., Gehweiler, D., Sprecher, C. M., Boger, A., Gueorguiev, B., D’Este, M., Ricken, T., & Röhrle, O. (2024). Rheological Analysis and Evaluation of Measurement Techniques for Curing Poly(Methyl Methacrylate) Bone Cement in Vertebroplasty. ACS Biomaterials Science & Engineering, 10, Article 7. https://doi.org/10.1021/acsbiomaterials.4c00417
    15. Tautenhahn, H.-M., Ricken, T., Dahmen, U., Mandl, L., Bütow, L., Gerhäusser, S., Lambers, L., Chen, X., Lehmann, E., Dirsch, O., & König, M. (2024). SimLivA-Modeling ischemia-reperfusion injury in the liver: A first step towards a clinical decision support tool. GAMM-Mitteilungen. https://doi.org/10.1002/gamm.202370003
    16. Trivedi, Z., Wychowaniec, J. K., Gehweiler, D., Sprecher, C. M., Boger, A., Gueorguiev, B., D’Este, M., Ricken, T., & Röhrle, O. (2024). Rheological Analysis and Evaluation of Measurement Techniques for Curing Poly(Methyl Methacrylate) Bone Cement in Vertebroplasty. ACS Biomaterials Science & Engineering, 10, Article 7. https://doi.org/10.1021/acsbiomaterials.4c00417
    17. Suditsch, M., Wagner, A., & Ricken, T. (2024). OncoTUM models. DaRUS. https://doi.org/10.18419/DARUS-4647

  4. 2023

    1. Mandl, L., Mielke, A., Seyedpour, S. M., & Ricken, T. (2023). Affine transformations accelerate the training of physics-informed neural networks of a one-dimensional consolidation problem. Scientific Reports, 13, Article 1. https://doi.org/10.1038/s41598-023-42141-x
    2. Soltani, K., Seyedpour, S. M., Ricken, T., & Rezazadeh, G. (2023). Transient high-frequency spherical wave propagation in porous medium using fractional calculus technique. Acta Mechanica. https://doi.org/10.1007/s00707-023-03780-3
    3. Arasteh-Khoshbin, O., Seyedpour, S. M., Brodbeck, M., Lambers, L., & Ricken, T. (2023). On effects of freezing and thawing cycles of concrete containing nano-Formula: see text: experimental study of material properties and crack simulation. Scientific Reports, 13, Article 1. https://doi.org/10.1038/s41598-023-48211-4
    4. Seyedpour, S. M., Thom, A., & Ricken, T. (2023). Simulation of Contaminant Transport through the Vadose Zone: A Continuum Mechanical Approach within the Framework of the Extended Theory of Porous Media (eTPM). Water. https://doi.org/10.3390/w15020343
    5. Azhdari, M., Seyedpour, S. M., Lambers, L., Tautenhahn, H.-M., Tautenhahn, F., Ricken, T., & Rezazadeh, G. (2023). Non-local three phase lag bio thermal modeling of skin tissue and experimental evaluation. International Communications in Heat and Mass Transfer, 149, 107146. https://doi.org/10.1016/j.icheatmasstransfer.2023.107146
    6. Trivedi, Z., Gehweiler, D., Wychowaniec, J. K., Ricken, T., Gueorguiev-Rüegg, B., Wagner, A., & Röhrle, O. (2023). Analysing the bone cement flow in the injection apparatus during vertebroplasty. Pamm, 23, Article 1. https://doi.org/10.1002/pamm.202200295
    7. Suditsch, M., Ricken, T., & Wagner, A. (2023). Patient--specific simulation of brain tumour growth and regression. Pamm, 23, Article 1. https://doi.org/10.1002/pamm.202200213
    8. Seyedpour, S. M., Lambers, L., Rezazadeh, G., & Ricken, T. (2023). Mathematical modelling of the dynamic response of an implantable enhanced capacitive glaucoma pressure sensor. Measurement: Sensors, 30, 100936. https://doi.org/10.1016/j.measen.2023.100936
    9. Paul, F., Schwarz, C., Audh, R. R., Bluhm, J., Johnson, S., MacHutchon, K., Mielke, T., Mishra, A., Rampai, T., Ricken, T., Schwarz, A., Skatulla, S., Thom, A., Verrinder, R., Schr�der, J., Vichi, M., & Lupascu, D. C. (2023). Sea ice mechanics. Computer Methods in Material Science. https://doi.org/10.7494/cmms.2023.3.0816
    10. Azhdari, M., Seyedpour, S. M., Ricken, T., & Rezazadeh, G. (2023). On the thermo-vibrational response of multi-layer viscoelastic skin tissue to laser irradiation. International Journal of Thermal Sciences, 187, 108160. https://doi.org/10.1016/j.ijthermalsci.2023.108160
    11. Seyedpour, S. M., Henning, C., Kirmizakis, P., Herbrandt, S., Ickstadt, K., Doherty, R., & Ricken, T. (2023). Uncertainty with Varying Subsurface Permeabilities Reduced Using Coupled Random Field and Extended Theory of Porous Media Contaminant Transport Models. Water, 15, Article 1. https://doi.org/10.3390/w15010159
    12. Völter, J.-S. L., Ricken, T., & Röhrle, O. (2023). About the applicability of the theory of porous media for the modelling of non--isothermal material injection into porous structures. Pamm, 23, Article 1. https://doi.org/10.1002/pamm.202200070
    13. Trivedi, Z., Gehweiler, D., Wychowaniec, J. K., Ricken, T., Gueorguiev, B., Wagner, A., & Röhrle, O. (2023). A continuum mechanical porous media model for vertebroplasty: Numerical simulations and experimental validation. Biomechanics and Modeling in Mechanobiology, 22, Article 4. https://doi.org/10.1007/s10237-023-01715-4

  5. 2022

    1. Arasteh-Khoshbin, O., Seyedpour, S., & Ricken, T. (2022). The effect of Caspian Sea water on mechanical properties and durability of concrete containing rice husk ash, nano SiO2, and nano Al2O3. Scientific Reports, 12, 20202. https://doi.org/10.1038/s41598-022-24304-4
    2. Ricken, T., Schröder, J., Bluhm, J., & Bartel, F. (2022). Theoretical formulation and computational aspects of a two-scale homogenization scheme combining the TPM and FE2 method for poro-elastic fluid-saturated porous media. International Journal of Solids and Structures, 241, 111412. https://doi.org/10.1016/j.ijsolstr.2021.111412
    3. Seyedpour, S. M., Nafisi, S., Nabati, M., Pierce, D. M., Reichenbach, J. R., & Ricken, T. (2022). Magnetic Resonance Imaging--based biomechanical simulation of cartilage: A systematic review. Journal of the Mechanical Behavior of Biomedical Materials, 126, 104963. https://doi.org/10.1016/j.jmbbm.2021.104963
    4. Bertrand, F., Brodbeck, M., & Ricken, T. (2022). On robust discretization methods for poroelastic problems: Numerical examples and counter-examples. Examples and Counterexamples, 2, 100087. https://doi.org/10.1016/j.exco.2022.100087
    5. Ricken, T., Schröder, J., Bluhm, J., Maike, S., & Bartel, F. (2022). Theoretical formulation and computational aspects of a two-scale homogenization scheme combining the TPM and FE 2 method for poro-elastic fluid-saturated porous media. International Journal of Solids and Structures, 241, 111412. https://doi.org/10.1016/j.ijsolstr.2021.111412
    6. Seyedpour, S. M., Nafisi, S., Nabati, M., Pierce, D. M., Reichenbach, J. R., & Ricken, T. (2022). Magnetic Resonance Imaging–based biomechanical simulation of cartilage: A systematic review. Journal of the Mechanical Behavior of Biomedical Materials, 126, 104963. https://doi.org/10.1016/j.jmbbm.2021.104963
    7. Armiti-Juber, A., & Ricken, T. (2022). Model order reduction for deformable porous materials in thin domains via asymptotic analysis. Archive of Applied Mechanics, 92, Article 2. https://doi.org/10.1007/s00419-021-01907-3
    8. Seyedpour, S. M., Henning, C., Kirmizakis, P., Herbrandt, S., Ickstadt, K., Doherty, R., & Ricken, T. (2022). Uncertainty with Varying Subsurface Permeabilities Reduced Using Coupled Random Field and Extended Theory of Porous Media Contaminant Transport Models. Water. https://doi.org/10.3390/w15010159

  6. 2021

    1. Lambers, L., Suditsch, M., Wagner, A., & Ricken, T. (2021). A Multiscale and Multiphase Model of Function--Perfusion Growth Processes in the Human Liver. Pamm, 20, Article 1. https://doi.org/10.1002/pamm.202000290
    2. Egli, F. S., Straube, R. C., Mielke, A., & Ricken, T. (2021). Surrogate Modeling of a Nonlinear, Biphasic Model of Articular Cartilage with Artificial Neural Networks. Pamm, 21, Article 1. https://doi.org/10.1002/pamm.202100188
    3. Mielke, A., & Ricken, T. (2021). Finite element analysis of a 2D cantilever on a noisy intermediate-scale quantum computer. Pamm, 21, Article 1. https://doi.org/10.1002/pamm.202100246
    4. Trivedi, Z., Bleiler, C., Gehweiler, D., Gueorguiev-Rüegg, B., Ricken, T., Wagner, A., & Röhrle, O. (2021). Simulating vertebroplasty: A biomechanical challenge. Pamm, 20, Article 1. https://doi.org/10.1002/pamm.202000313
    5. Seyedpour, S. M., Valizadeh, I., Kirmizakis, P., Doherty, R., & Ricken, T. (2021). Optimization of the Groundwater Remediation Process Using a Coupled Genetic Algorithm-Finite Difference Method. Water, 13, Article 3. https://doi.org/10.3390/w13030383
    6. Pi Savall, B., Mielke, A., & Ricken, T. (2021). Data--Driven Stress Prediction for Thermoplastic Materials. Pamm, 21, Article 1. https://doi.org/10.1002/pamm.202100225
    7. Bertrand, F., Lambers, L., & Ricken, T. (2021). Least Squares Finite Element Method for Hepatic Sinusoidal Blood Flow. Pamm, 20, Article 1. https://doi.org/10.1002/pamm.202000306
    8. Suditsch, M., Lambers, L., Ricken, T., & Wagner, A. (2021). Application of a continuum--mechanical tumour model to brain tissue. Pamm, 21, Article 1. https://doi.org/10.1002/pamm.202100204
    9. Keller, K., Wallmersperger, T., & Ricken, T. (2021). Sensitivity Analysis of a Simulated Hydrogel. Pamm, 20, Article 1. https://doi.org/10.1002/pamm.202000317
    10. Mielke, A., & Ricken, T. (2021). Solving linear equation systems on noisy intermediate--scale quantum computers. Pamm, 20, Article 1. https://doi.org/10.1002/pamm.202000266
    11. Suditsch, M., Schröder, P., Lambers, L., Ricken, T., Ehlers, W., & Wagner, A. (2021). Modelling basal--cell carcinoma behaviour in avascular skin. Pamm, 20, Article 1. https://doi.org/10.1002/pamm.202000283
    12. Thom, A., & Ricken, T. (2021). In Silico Modeling of Coupled Physical--Biogeochemical (P--BGC) Processes in Antarctic Sea Ice. Pamm, 20, Article 1. https://doi.org/10.1002/pamm.202000308
    13. Christ, B., Collatz, M., Dahmen, U., Herrmann, K.-H., Höpfl, S., König, M., Lambers, L., Marz, M., Meyer, D., Radde, N., Reichenbach, J. R., Ricken, T., & Tautenhahn, H.-M. (2021). Hepatectomy-Induced Alterations in Hepatic Perfusion and Function - Toward Multi-Scale Computational Modeling for a Better Prediction of Post-hepatectomy Liver Function. Frontiers in Physiology, 12, 579. https://doi.org/10.3389/fphys.2021.733868
    14. Seyedpour, S. M., Nabati, M., Lambers, L., Nafisi, S., Tautenhahn, H.-M., Sack, I., Reichenbach, J. R., & Ricken, T. (2021). Application of Magnetic Resonance Imaging in Liver Biomechanics: A Systematic Review. Frontiers in Physiology, 12, 733393. https://doi.org/10.3389/fphys.2021.733393
    15. Henning, C., Brodbeck, M., Koch, C., Staudacher, S., & Ricken, T. (2021). Phase--field model for erosion processes. Pamm, 20, Article 1. https://doi.org/10.1002/pamm.202000282
    16. Lambers, L., Mielke, A., & Ricken, T. (2021). Semi--automated Data--driven FE Mesh Generation and Inverse Parameter Identification for a Multiscale and Multiphase Model of Function--Perfusion Processes in the Liver. Pamm, 21, Article 1. https://doi.org/10.1002/pamm.202100190

  7. 2020

    1. Hopkins, G., Skatulla, S., Moj, L., Ricken, T., Ntusi, N., & Meintjes, E. (2020). A biphasic model for full cycle simulation of the human heart aimed at rheumatic heart disease. Computers & Structures, 232, 105920. https://doi.org/10.1016/j.compstruc.2018.02.012
    2. Ricken, T., Thom, A., Gehrke, T., Denecke, M., Widmann, R., Schulte, M., & Schmidt, T. C. (2020). Biological Driven Phase Transitions in Fully or Partly Saturated Porous Media: A Multi-Component FEM Simulation Based on the Theory of Porous Media. In P. Giovine, P. M. Mariano, & G. Mortara (Eds.), Views on Microstructures in Granular Materials (Vol. 44, pp. 157–183). Springer International Publishing. https://doi.org/10.1007/978-3-030-49267-08

  8. 2019

    1. Seyedpour, S. M., Janmaleki, M., Henning, C., Sanati-Nezhad, A., & Ricken, T. (2019). Contaminant transport in soil: A comparison of the Theory of Porous Media approach with the microfluidic visualisation. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2019.05.095
    2. Drieschner, M., Matthies, H. G., Hoang, T.-V., v. Rosić, B., Ricken, T., Henning, C., Ostermeyer, G.-P., Müller, M., Brumme, S., Srisupattarawanit, T., Weinberg, K., & Korzeniowski, T. F. (2019). Analysis of polymorphic data uncertainties in engineering applications. GAMM-Mitteilungen, 42, Article 2. https://doi.org/10.1002/gamm.201900010
    3. Nisters, C., Schröder, J., Niekamp, R., & Ricken, T. (2019). The Taylor-least-squares time integrator scheme applied to tracer equations of a sea ice model. Pamm, 19, Article 1. https://doi.org/10.1002/pamm.201900473
    4. Thom, A., & Ricken, T. (2019). Towards a physical model of Antarctic sea ice microstructure including biogeochemical processes using the extended Theory of Porous Media. Pamm, 19, Article 1. https://doi.org/10.1002/pamm.201900285
    5. Lambers, L., Ricken, T., & König, M. (2019). Model Order Reduction (MOR) of Function--Perfusion--Growth Simulation in the Human Fatty Liver via Artificial Neural Network (ANN). Pamm, 19, Article 1. https://doi.org/10.1002/pamm.201900429
    6. Lambers, L., Ricken, T., & König, M. (2019). A multiscale and multiphase model for the description of function-perfusion processes in the human liver. Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications: Proceedings of the 7th International Conference on Structural Engineering, Mechanics and Computation (SEMC 2019), September 2-4, 2019, Cape Town, South Africa, 304.
    7. Schmidt, A., Henning, C., Herbrandt, S., Könke, C., Ickstadt, K., Ricken, T., & Lahmer, T. (2019). Numerical studies of earth structure assessment via the theory of porous media using fuzzy probability based random field material descriptions. GAMM Mitteilungen, 42, Article 1.
    8. Egli, F., Ricken, T., Wang, X., & Pierce, D. M. (2019). A hyperelastic biphasic fiber reinforced model of articular cartilage incorporating the influences of osmotic pressure and damage. Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications - Proceedings of the 7th International Conference on Structural Engineering, Mechanics and Computation, 2019, 308–313.
    9. Henning, C., & Ricken, T. (2019). Transition of the variational sensitivity analysis to polymorphic uncertainty quantification to soil investigations. Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications - Proceedings of the 7th International Conference on Structural Engineering, Mechanics and Computation, 2019, 297–302.
    10. Pivovarov, D., Willner, K., Steinmann, P., Brumme, S., Müller, M., Srisupattarawanit, T., Ostermeyer, G.-P., Henning, C., Ricken, T., Kastian, S., Reese, S., Moser, D., Grasedyck, L., Biehler, J., Pfaller, M., Wall, W., Kohlsche, T., von Estorff, O., Gruhlke, R., et al. (2019). Challenges of order reduction techniques for problems involving polymorphic uncertainty. GAMM Mitteilungen, 42, Article 2.
    11. Egli, F., & Ricken, T. (2019). On Osmotic Pressure in Hyperelastic Biphasic Fiber--Reinforced Articular Cartilage. Pamm, 19, Article 1. https://doi.org/10.1002/pamm.201900355
    12. Nisters, C., Schröder, J., Niekamp, R., & Ricken, T. (2019). Comparative study on time-integrator schemes in a least-squares sea ice finite element formulation. Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications - Proceedings of the 7th International Conference on Structural Engineering, Mechanics and Computation, 2019, 286–291.
    13. Ricken, T., & Lambers, L. (2019). On computational approaches of liver lobule function and perfusion simulation. GAMM Mitteilungen, 42, Article 4.
    14. Schröder, J., Cook, A. D., Skatulla, S., Machutchon, K., & Ricken, T. (2019). A review on modelling of brine transport mechanisms in sea ice. Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications - Proceedings of the 7th International Conference on Structural Engineering, Mechanics and Computation, 2019, 356–361.
    15. Seyedpour, S. M., Kirmizakis, P., Brennan, P., Doherty, R., & Ricken, T. (2019). Optimal remediation design and simulation of groundwater flow coupled to contaminant transport using genetic algorithm and radial point collocation method (RPCM). Science of the Total Environment, 669, 389–399. https://doi.org/10.1016/j.scitotenv.2019.01.409
    16. Mielke, A., & Ricken, T. (2019). Evaluating artificial neural networks and quantum computing for solving mechanical boundary value problems. Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications - Proceedings of the 7th International Conference on Structural Engineering, Mechanics and Computation, 2019, 537–542.
    17. Drieschner, M., Matthies, H. G., Hoang, T.-V., Rosi?, B. V., Ricken, T., Henning, C., Ostermeyer, G.-P., Müller, M., Brumme, S., Srisupattarawanit, T., Weinberg, K., & Korzeniowski, T. F. (2019). Analysis of polymorphic data uncertainties in engineering applications. GAMM Mitteilungen, 42, Article 2.
    18. Keller, K., Wallmersperger, T., & Ricken, T. (2019). An Overview of Simulated Hydrogel Behaviour under Various Kinds of Stimulation. Pamm, 19, Article 1. https://doi.org/10.1002/pamm.201900487
    19. Henning, C., & Ricken, T. (2019). Polymorphic Uncertainty Quantification of Computational Soil and Earth Structure Simulations via the Variational Sensitivity Analysis. Pamm, 19, Article 1. https://doi.org/10.1002/pamm.201900289
    20. Bartel, F., Ricken, T., Schröder, J., & Bluhm, J. (2019). Application of Artificial Neural Network accelerating a porous media FE2 homogenization scheme. Pamm, 19, Article 1. https://doi.org/10.1002/pamm.201900381
    21. Mielke, A., & Ricken, T. (2019). Evaluating Artificial Neural Networks and Quantum Computing for Mechanics. Pamm, 19, Article 1. https://doi.org/10.1002/pamm.201900470
    22. Thom, A., & Ricken, T. (2019). Development of a thermodynamically consistent model towards biogeochemical processes within antarctic sea ice microstructure within the extended theory of porous media (Etpm). Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications - Proceedings of the 7th International Conference on Structural Engineering, Mechanics and Computation, 2019, 292–296.
    23. Keller, K., Ricken, T., & Wallmersperger, T. (2019). Hydrogels ? a macroscopic approach based on microscopic physics. Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications - Proceedings of the 7th International Conference on Structural Engineering, Mechanics and Computation, 2019, 274–278.

  9. 2018

    1. Moj, L., Ricken, T., Foppe, M., & Deike, R. (2018). Numerical simulation and validation of a solidification experiment using a continuum mechanical two--phase/--scale model. Pamm, 17, Article 1. https://doi.org/10.1002/pamm.201710275
    2. Hopkins, G., Skatulla, S., Moj, L., Ricken, T., Ntusi, N., & Meintjes, E. (2018). A biphasic model for full cycle simulation of the human heart aimed at rheumatic heart disease. Computers & Structures. https://doi.org/10.1016/j.compstruc.2018.02.012
    3. Bartel, F., Ricken, T., Schröder, J., & Bluhm, J. (2018). On efficient computation of 3-d simulation within TPM 2 -Framework. Pamm, 18, Article 1. https://doi.org/10.1002/pamm.201800332
    4. Lambers, L., Waschinsky, N., & Ricken, T. (2018). On a Multi-Scale and Multi-Phase Model of Paracetamol-induced Hepatotoxicity for Human Liver. Pamm, 18, Article 1. https://doi.org/10.1002/pamm.201800454
    5. Bongert, M., Wüst, J., Geller, M., Schlömicher, M., Ricken, T., Nicolas, V., & Strauch, J. (2018). Comparison of two biological aortic valve prostheses inside patient-specific aorta model by bi-directional fluid-structure interaction. Current Directions in Biomedical Engineering, 4, Article 1.
    6. Ricken, T., Waschinsky, N., & Werner, D. (2018). Simulation of steatosis zonation in liver lobule?a continuummechanical bi-scale, tri-phasic, multi-component approach. Lecture Notes in Applied and Computational Mechanics, 84, 15–33.
    7. Pierce, D. M., Ricken, T., & Neu, C. P. (2018). Image-driven constitutive modeling for FE-based simulation of soft tissue biomechanics. Numerical Methods and Advanced Simulation in Biomechanics and Biological Processes, 55–76.
    8. Henning, C., & Ricken, T. (2018). Polymorphic uncertainty quantification for stability analysis of fluid saturated soil and earth structures. Pamm, 17, Article 1. https://doi.org/10.1002/pamm.201710018
    9. Bartel, F., Ricken, T., Schröder, J., & Bluhm, J. (2018). Microstructural influence on macroscopic response regarding fluid flow through porous media applying TPM2--Method. Pamm, 17, Article 1. https://doi.org/10.1002/pamm.201710258
    10. Waschinsky, N., Werner, D., Ricken, T., Dahmen, U., & Dirsch, O. (2018). On a Tri--Scale and Multiphase Model for the Description of Perfusion coupled to Fat Growth Effects in Liver Tissue. Pamm, 17, Article 1. https://doi.org/10.1002/pamm.201710083
    11. Schröder, J., Nisters, C., & Ricken, T. (2018). On a least-squares finite element formulation for sea ice dynamics. Pamm, 18, Article 1. https://doi.org/10.1002/pamm.201800156
    12. Wang, X., Eriksson, T. S. E., Ricken, T., & Pierce, D. M. (2018). On incorporating osmotic prestretch/prestress in image-driven finite element simulations of cartilage. Journal of the Mechanical Behavior of Biomedical Materials, 86, 409–422.
    13. Pierce, D. M., Ricken, T., & Neu, C. P. (2018). Chapter 4 - Image-Driven Constitutive Modeling for FE-Based Simulation of Soft Tissue Biomechanics. In M. Cerrolaza, S. J. Shefelbine, & D. Garzón-Alvarado (Eds.), Numerical Methods and Advanced Simulation in Biomechanics and Biological Processes (pp. 55–76). Academic Press and Elsevier/AP Academic Press an imprint of Elsevier. https://doi.org/10.1016/B978-0-12-811718-7.00004-6
    14. Thom, A., Ricken, T., Koßler, M., Gehrke, T., Denecke, M., Widmann, R., Schulte, M., & Schmidt, T. C. (2018). Numerical investigations of diffusion coefficients in the context of multi-component gas transport within the Theory of Porous Media. Pamm, 18, Article 1. https://doi.org/10.1002/pamm.201800446

  10. 2017

    1. Moj, L., Foppe, M., Deike, R., & Ricken, T. (2017). Micro-macro modelling of steel solidification: A continuum mechanical, bi-phasic, two-scale model including thermal driven phase transition. GAMM--Mitteilungen, 40, Article 2. https://doi.org/10.1002/gamm.201720004
    2. Schulte, M., Jochmann, M. A., Gehrke, T., Thom, A., Ricken, T., Denecke, M., & Schmidt, T. C. (2017). Characterization of methane oxidation in a simulated landfill cover system by comparing molecular and stable isotope mass balances. Waste Management, 69, 281–288. https://doi.org/10.1016/j.wasman.2017.07.032
    3. Christ, B., Dahmen, U., Herrmann, K.-H., König, M., Reichenbach, J. R., Ricken, T., Schleicher, J., Schwen, L. O., Vlaic, S., & Waschinsky, N. (2017). Computational modeling in liver surgery. Frontiers in Physiology, 8, Article NOV.
    4. Christ, B., Dahmen, U., Herrmann, K.-H., König, M., Reichenbach, J. R., Ricken, T., Schleicher, J., Ole Schwen, L., Vlaic, S., & Waschinsky, N. (2017). Computational Modeling in Liver Surgery. Frontiers in Physiology, 8, 906. https://doi.org/10.3389/fphys.2017.00906

  11. 2016

    1. Henning, C., Moj, L., & Ricken, T. (2016). A ternary phase bi-scale FE-model for diffusion-driven dendritic alloy solidification processes. Pamm, 16, Article 1. https://doi.org/10.1002/pamm.201610213
    2. Waschinsky, N., Werner, D., Ricken, T., Dahmen, U., & Dirsch, O. (2016). On a bi-scale and tri-phasic model for the description of growth in biological tissue using the example of the human liver. Pamm, 16, Article 1. https://doi.org/10.1002/pamm.201610043
    3. Pierce, D. M., Unterberger, M. J., Trobin, W., Ricken, T., & Holzapfel, G. A. (2016). A microstructurally based continuum model of cartilage viscoelasticity and permeability incorporating measured statistical fiber orientations. Biomechanics and Modeling in Mechanobiology, 15, Article 1. https://doi.org/10.1007/s10237-015-0685-x
    4. Maike, S., Bluhm, J., Schröder, J., Brands, D., & Ricken, T. (2016). Macroscopic characterization of porous unit cells within the framework of the theory of porous media. Insights and Innovations in Structural Engineering, Mechanics and Computation - Proceedings of the 6th International Conference on Structural Engineering, Mechanics and Computation, SEMC 2016, 400–405.
    5. Hopkins, G., Skatulla, S., Moj, L., Ricken, T., Ntusi, N., & Meintjes, E. (2016). An initial biphasic model of the human heart aimed at computational investigation of rheumatic heart disease. Insights and Innovations in Structural Engineering, Mechanics and Computation - Proceedings of the 6th International Conference on Structural Engineering, Mechanics and Computation, SEMC 2016, 636–641.
    6. Bartel, F., Ricken, T., Schröder, J., & Bluhm, J. (2016). Remarks on coupled multi-scale simulations and high performance computation. Pamm, 16, Article 1. https://doi.org/10.1002/pamm.201610244
    7. Schmuck, S., Werner, D., Widmann, R., & Ricken, T. (2016). Depsim: Numerical 3D-simulation of the water, gas and solid phase in a landfill. International Journal of Sustainable Development and Planning, 11, Article 5.
    8. Seyedpour, S. M., & Ricken, T. (2016). Modeling of contaminant migration in groundwater: A continuum mechanical approach using in the theory of porous media. Pamm, 16, Article 1. https://doi.org/10.1002/pamm.201610232
    9. Moj, L., & Ricken, T. (2016). A continuum mechanical multi-phase model for steel solidification. Insights and Innovations in Structural Engineering, Mechanics and Computation - Proceedings of the 6th International Conference on Structural Engineering, Mechanics and Computation, SEMC 2016, 388–393.

  12. 2015

    1. Werner, D., Ricken, T., Dahmen, U., Dirsch, O., Holzhütter, H.-G., & König, M. (2015). On the Influence of Growth in Perfusion Dependent Biological Systems - at the Example of the Human Liver. Pamm, 15, Article 1. https://doi.org/10.1002/pamm.201510050
    2. Ricken, T., Werner, D., Holzhütter, H. G., König, M., Dahmen, U., & Dirsch, O. (2015). Modeling function?perfusion behavior in liver lobules including tissue, blood, glucose, lactate and glycogen by use of a coupled two-scale PDE?ODE approach. Biomechanics and Modeling in Mechanobiology, 14, Article 3.
    3. Thom, A., Ricken, T., Bluhm, J., Widmann, R., Denecke, M., & Gehrke, T. (2015). Validation of a coupled FE-model for the simulation of methane oxidation via thermal imaging. Pamm, 15, Article 1. https://doi.org/10.1002/pamm.201510207
    4. Moj, L., Ricken, T., & Steinbach, I. (2015). A continuum mechanical, bi-phasic, two-scale model for thermal driven phase transition during solidification. Pamm, 15, Article 1. https://doi.org/10.1002/pamm.201510195
    5. Bartel, F., Ricken, T., Schröder, J., & Bluhm, J. (2015). A two-scale homogenisation approach for fluid saturated porous media based on TPM and FE 2 -Method. Pamm, 15, Article 1. https://doi.org/10.1002/pamm.201510214

  13. 2014

    1. Bluhm, J., Bloßfeld, W. M., & Ricken, T. (2014). Energetic effects during phase transition under freezing-thawing load in porous media -- a continuum multiphase description and FE-simulation. ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift Für Angewandte Mathematik Und Mechanik, 94, Article 7–8. https://doi.org/10.1002/zamm.201200154
    2. Albrecht, D., Ricken, T., & Pierce, D. M. (2014). A Multi-Component Description of Osmotic Driven Deformations in Articular Cartilage. Pamm, 14, Article 1. https://doi.org/10.1002/pamm.201410042
    3. Ricken, T., Sindern, A., Bluhm, J., Widmann, R., Denecke, M., Gehrke, T., & Schmidt, T. C. (2014). Concentration driven phase transitions in multiphase porous media with application to methane oxidation in landfill cover layers. ZAMM--Journal of Applied Mathematics and Mechanics/Zeitschrift Für Angewandte Mathematik Und Mechanik, 94, Article 7.
    4. Werner, D., Ricken, T., Holzhütter, H.-G., König, M., Dahmen, U., & Dirsch, O. (2014). On growth effects in the human liver. Pamm, 14, Article 1. https://doi.org/10.1002/pamm.201410040
    5. Moj, L., Ricken, T., & Steinbach, I. (2014). Multi-Scale and Multi-Component Approach for Solidification Processes. Pamm, 14, Article 1. https://doi.org/10.1002/pamm.201410220
    6. Sindern, A., Ricken, T., Bluhm, J., Widmann, R., Denecke, M., & Gehrke, T. (2014). A coupled multi-component approach for bacterial methane oxidation in landfill cover layers. Pamm, 14, Article 1. https://doi.org/10.1002/pamm.201410222
    7. Ricken, T., & Bluhm, J. (2014). Modeling of liquid and gas saturated porous solids under freezing and thawing cycles. In T. Schanz & A. Hettler (Eds.), Aktuelle Forschung in der Bodenmechanik 2013 (pp. 23–42). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-37542-22

  14. 2013

    1. Pierce, D. M., Ricken, T., & Holzapfel, G. A. (2013). A hyperelastic biphasic fibre-reinforced model of articular cartilage considering distributed collagen fibre orientations: continuum basis, computational aspects and applications. Computer Methods in Biomechanics and Biomedical Engineering, 16, Article 12.
    2. Ricken, T., Dahmen, U., Dirsch, O., & Werner, D. Q. (2013). A Biphasic 3D-FEM Model for the Remodeling of Microcirculation in Liver Lobes. In Computer Models in Biomechanics (pp. 277–292). Springer.
    3. Sindern, A., Ricken, T., Bluhm, J., Widmann, R., & Denecke, M. (2013). Bacterial methane oxidation in landfill cover layers--a coupled FE multiphase description. Pamm, 13, Article 1.
    4. Pierce, D. M., Ricken, T., & Holzapfel, G. A. (2013). Modeling sample/patient-specific structural and diffusional responses of cartilage using DT-MRI. International Journal for Numerical Methods in Biomedical Engineering, 29, Article 8.
    5. Werner, D., Ricken, T., & Ferreira Pfeiffer, A. (2013). On a FEM model for isotropic and transversely isotropic growth in biphasic materials. Pamm, 13, Article 1.
    6. Albrecht, D., Ricken, T., Pierce, D. M., & Holzapfel, G. A. (2013). A hyperelastic biphasic fiber reinforced model for articular cartilage considering the distribution and orientation of collagen fibers. Pamm, 13, Article 1.

  15. 2012

    1. Sindern, A., Ricken, T., Bluhm, J., Denecke, M., & Schmidt, T. C. (2012). Phase transition in methane oxidation layers--a coupled FE multiphase description. Pamm, 12, Article 1.
    2. Albrecht, D., Ricken, T., Pierce, D. M., & Holzapfel, G. A. (2012). A biphasic transverse isotropic FEM model for cartilage. Pamm, 12, Article 1.
    3. Werner, D., Ricken, T., Dahmen, U., & Dirsch, O. (2012). A Biphasic FEM Model for the Microperfusion in Liver Lobules. Pamm, 12, Article 1.
    4. Bloßfeld, W. M., Bluhm, J., & Ricken, T. (2012). Simulation of Freezing and Thawing Processes with Capillary Effects in fluid filled porous media. Pamm, 12, Article 1.

  16. 2011

    1. Bluhm, J., Bloßfeld, W. M., & Ricken, T. (2011). Simulation of Capillary Effects and Phase Transition under Freezing and Thawing Load in Liquid and Gas Saturated Porous Media. Pamm, 11, Article 1.
    2. Robeck, M., Ricken, T., & Widmann, R. (2011). A finite element simulation of biological conversion processes in landfills. Waste Management, 31, Article 4. https://doi.org/10.1016/j.wasman.2010.08.007
    3. Lilledahl, M. B., Pierce, D. M., Ricken, T., Holzapfel, G. A., & De Lange Davies, C. (2011). Extracting quantitative biomechanical parameters for cartilage from second harmonic generation images. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 7903.
    4. Bluhm, J., Ricken, T., & Bloßfeld, M. (2011). Ice formation in porous media. Lecture Notes in Applied and Computational Mechanics, 59 LNACM, 153–174.
    5. Robqeck, M., Ricken, T., & Widmann, R. (2011). A finite element simulation of biological conversion processes in landfills. Waste Management, 31, Article 4.
    6. Lilledahl, M. B., Pierce, D. M., Ricken, T., Holzapfel, G. A., & de Lange Davies, C. (2011). Structural analysis of articular cartilage using multiphoton microscopy: input for biomechanical modeling. Medical Imaging, IEEE Transactions On, 30, Article 9.
    7. Ricken, T., Widmann, R., & Schmidt, T. C. (2011). On the Modeling and Simulation of Biological Methane Oxidation in porous media-A Multiphase Continuum Approach.

  17. 2010

    1. Bluhm, J., Ricken, T., & Bloßfeld, W. M. (2010). Simulation of freeze--thaw--cycles in liquid--and gas saturated porous media. Pamm, 10, Article 1.
    2. Ricken, T., & Bluhm, J. (2010). Modeling fluid saturated porous media under frost attack. GAMM Mitteilungen, 33, Article 1.
    3. Ateshian, G. A., & Ricken, T. (2010). Multigenerational interstitial growth of biological tissues. ASME 2010 Summer Bioengineering Conference, SBC 2010, Article PARTS A AND B.
    4. Pierce, D. M., Lilledahl, M. B., Ricken, T., De Lange Davies, C., & Holzapfel, G. A. (2010). Morphological analysis of articular cartilage using multiphoton microscopy as input for constitutive modeling: Experiment and mathematical implementation. IFMBE Proceedings, 31 IFMBE, 895–898.
    5. Ricken, T., & Bluhm, J. (2010). Remodeling and growth of living tissue: a multiphase theory. Archive of Applied Mechanics, 80, Article 5.
    6. Ricken, T., Dahmen, U., & Dirsch, O. (2010). A biphasic model for sinusoidal liver perfusion remodeling after outflow obstruction. Biomechanics and Modeling in Mechanobiology, 9, Article 4.

  18. 2009

    1. Ricken, T., & Bluhm, J. (2009). Evolutional growth and remodeling in multiphase living tissue. Computational Materials Science, 45, Article 3. https://doi.org/10.1016/j.commatsci.2008.10.016
    2. Ricken, T., Bluhm, J., Epple, M., Wehmöller, M., & Annen, T. (2009). An Enriched Biphasic Model for Solute Driven Degradation. Pamm, 9, Article 1.
    3. Bluhm, J., Ricken, T., & Bloßfeld, W. M. (2009). Freezing and thawing processes in porous media--Experiment and Simulation. Pamm, 9, Article 1.
    4. Ricken, T., Robeck, M., & Widmann, R. (2009). A multiphase finite element simulation of biological conversion processes in landfills. Pamm, 9, Article 1.

  19. 2008

    1. Bluhm, J., Ricken, T., & Bloßfeld, W. M. (2008). Energetische Aspekte zum Gefrierverhalten von Wasser in porösen Strukturen. Pamm, 8, Article 1.
    2. Schrefler, B. A. (2008). Modeling of porous functionally graded biodegradable implants for bone replacement.
    3. Bluhm, J., Ricken, T., & Bloßfeld, M. (2008). MODELING OF FREEZING AND THAWING CYCLES OF SATURATED POROUS MEDIA.

  20. 2007

    1. Ricken, T., Schwarz, A., & Bluhm, J. (2007). A triphasic model of transversely isotropic biological tissue with applications to stress and biologically induced growth. Computational Materials Science, 39, Article 1. https://doi.org/10.1016/j.commatsci.2006.03.025
    2. Bluhm, J., & Ricken, T. (2007). Modeling of freezing and thawing processes in liquid filled thermo-elastic porous solids. Transport in Concrete: Nano-to Macrostructure, Edited by M. Setzer (Aedificatio Publishers, Freiburg, 2007), 41–57.
    3. Ricken, T., & Bluhm, J. (2007). A multiphase model of biological materials with graded porosity. Computational Plasticity - Fundamentals and Applications, COMPLAS IX, Article PART 1.
    4. Ricken, T. (2007). Transverse isotropic flow in biphasic materials. Pamm, 7, Article 1.

  21. 2006

    1. Ricken, T., Schwarz, A., & Bluhm, J. (2006). A triphasic theory for growth in biological tissue - Basics and applications. Materialwissenschaft Und Werkstofftechnik, 37, Article 6.
    2. Ustohalova, V., Ricken, T., & Widmann, R. (2006). Estimation of landfill emission lifespan using process oriented modeling. Waste Management, 26, Article 4. https://doi.org/10.1016/j.wasman.2005.11.012
    3. Ricken, T. (2006). On the Description of Growth in Saturated Living Tissues. Pamm, 6, Article 1.

  22. 2005

    1. Ricken, T., & De Boer, R. (2005). Two phase flow in capillary porous thermo-elastic materials. Solid Mechanics and Its Applications, 125, 359–364.
    2. Ricken, T. (2005). On Biological Activities in Organic Materials. Pamm, 5, Article 1.
    3. Ricken, T., & Ustohalova, V. (2005). Modeling of thermal mass transfer in porous media with applications to the organic phase transition in landfills. Computational Materials Science, 32, Article 3. https://doi.org/10.1016/j.commatsci.2004.09.015

  23. 2004

    1. Ricken, T. (2004). Mass Transfer in Porous Media. Pamm, 4, Article 1.
    2. Ricken, T., de Boer, R., Ustohalova, V., & Widmann, R. (2004). Biodegradation in Porous Landfill Bodies.
    3. Ricken, T., de Boer, R., de Boer, R., & de Boer, R. (2004). Kapillar induzierte Mehrphasenströmung in porösen Medien. Universität Duisburg-Essen.

  24. 2003

    1. Ricken, T., & de Boer, R. (2003). Transport in a capillary thermo--elastic porous material. Pamm, 3, Article 1.
    2. Ricken, T., & De Boer, R. (2003). Multiphase flow in a capillary porous medium. Computational Materials Science, 28, Article 3-4 SPEC. ISS.
    3. Ricken, T. (2003). Transport of fluids in capillary porous solids. Pamm, 2, Article 1.

  25. 2002

    1. Ricken, T. (2002). Kapillarität in porösen Medien: theoretische Untersuchung und numerische Simulation [PhD-Thesis]. Universität Essen.

  26. 1994

    1. de Boer, R., Bluhm, J., Waehling, M., Ricken, T., & Essen Univ.. Fachbereich 10-Bauwesen. (1994). Phase transition in porous media.

Einführung in die Festigkeitslehre

Technische Mechanik I

Technische Mechanik II

Vortragsübungen zu Technische Mechanik II (LRT) 

Seminaristische Übungen zu Technische Mechanik II

Technische Mechanik III

Statik

Einführung in die Finite-Elemente-Methode

Statik III (Einführung in die lineare Kontinuumsmechanik)

Simulation of coupled problems with the Finite Element Method

Machine Learning Methods in Mechanics 

Experimentelle Spannungs- & Dehnungsanalyse

FEM mit FeniCS

Curriculum Vitae

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