Structural design space and interfaces of aft-mounted engines

— methodological framework, structural design and multidisciplinary optimisation.

Funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) Project number 498601949 (TRR 364:  Synergies of Highly Integrated Transport Aircraft - SynTrac )

The transformation of the aviation industry towards sustainability depends on the utilization of various opportunities to reduce the environmental impact of air travel. Achieving sustainable and socially acceptable air transport involves meeting the needs of both local and global stakeholders. To accomplish this, it is crucial to improve the overall efficiency of aircraft systems, minimizing gaseous, liquid, and solid emissions, noise inside and outside the cabin, and waste heat. The highly integrated design of novel propulsion systems in equally innovative aircraft promises unique potential to achieve these objectives.

The central question of the Collaborative Research Center SynTrac - Synergies of Highly Integrated Transport Aircraft is how to effectively integrate physical models, experimental techniques, and numerical methods beyond current standards to unlock the full potential of highly integrated transport aircraft and realize the associated synergies.

The  Collaborative Research Center  aims at answering the central research question by integrated projects realising cross-discipline and cross-system interaction. The research efforts are structured into three main project areas: A - Cross-System Assessment, B - Cross-System Integration and C - Fundamentals and Enablers for Cross-System Integration and Assessment.

At the ISD, we are working together with the Institut für Flugzeugbau und Leichtbau in the subproject B06: Structural design space and interfaces of aft-mounted engines — methodological framework, structural design and multidisciplinary optimisation.

Figure 1: SynTrac Aircraft Configurations

This project aims to investigate the structural integration of aft-mounted engine configurations for the purpose of realizing configuration 1 a/b, see Figure 1. It involves developing optimized solutions for integrating the aircraft tail structure to handle mechanical load transfer, dynamic, thermal, and acoustic damping. Challenges arise from connecting the load-bearing components of the empennage, bulkhead, and engines, as well as dealing with narrow spaces for boundary layer ingestion.

To achieve these goals, the project involves joint research considering the integration of multi-physical models in a multidisciplinary approach. A design optimization framework is developed to address various research questions related to representing the design space, modeling multi-physical interactions, handling uncertainties, and making optimal design decisions. Engineering research questions focus on finding reasonable structural topologies, optimizing material properties, utilizing micro-structure designs, and exploring tail morphing for overall aircraft improvement.

Figure 2: Schematic view of the design space of engine configuration 1.a and project cooperations

Project-related publications

Ricken, T. et al. "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 (2022), S. 111412. DOI: https://doi.org/10.1016/j.ijsolstr.2021.111412.

Pivovarov, D. et al. "Challenges of Order Reduction Techniques for Problems Involving Polymorphic Uncertainty." GAMM-Mitteilungen, 42.2 (2019). DOI: https://doi.org/10.1002/gamm.201900011.

Armiti-Juber, A. and Ricken, T. "Model Order Reduction for Deformable Porous Materials in Thin Domains via Asymptotic Analysis." Archive of Applied Mechanics, 92.2 (2022), S. 597–618. DOI: https://doi.org/10.1007/s00419-021-01907-3.

Seyedpour, S.M. et al. "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 (2019), S. 389–399. DOI: https://doi.org/10.1016/j.scitotenv.2019.01.409.

Seyedpour, S. M. et al. "Optimization of the Groundwater Remediation Process Using a Coupled Genetic Algorithm-Finite Difference Method." Water, 13.3 (2021), S. 383. DOI: https://doi.org/10.3390/w13030383.

SynTrac - Current projects

This image shows Navina Waschinsky

Navina Waschinsky

Dr.-Ing.

Head of Optimization & Uncertainty Quantification Group, Researcher

This image shows Tim Ricken

Tim Ricken

Univ.-Prof. Dr.-Ing.

Head of Department

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