Title:	Optimal design in multi-physics problems
DNr:	NAISS 2025/5-597
Project Type:	NAISS Medium Compute
Principal Investigator:	Carl-Johan Thore <carl-johan.thore@liu.se>
Affiliation:	Linköpings universitet
Duration:	2025-11-01 – 2026-11-01
Classification:	20301 10105
Keywords:

Abstract

This project investigates the use of computational design methods for optimal design in multi-physics problems. In a series of articles [1,2,3,4] and a PhD thesis [5], we have developed a method for optimal design of gas turbine parts using topology optimization with finite elements for structural, thermal and flow analysis. Topology optimization is an iterative process in which several hundred candidate designs are generated and simulated to obtain optimized designs. This is a compute-intensive process which requires use of high-performance computing resources. While our main focus continues to be design for gas turbine parts we have also ventured into fluid-structure interaction problems [6] and topology optimization under fatigue constraints [7] and plan to continue this in the proposed project References [1] Lundgren J, Lundgren J-E, Najafabadi HN and Thore C-J. Optimal internal cooling using large-scale 3D Multiphysics topology optimization with voxelization. Engineering Optimization, 2024 [2] Lundgren J, Lundgren J-E, and Thore, C-J, Flow-heat topology optimization of internally cooled high temperature applications using a voxelization approach for domain initialization, Engineering Optimization, 2023. [3] Thore C-J, Lundgren J and Lundgren J-E, A mathematical game for topology optimization of cooling systems, ZAMM -- Journal of Applied Mathematics and Mechanics, 2022 [4] Thore C-J, Lundgren J, Lundgren J-E and Klarbring A, Topology optimization for minimum temperature with mass flow and stiffness constraints, Computer Methods in Applied Mechanics and Engineering, 2022 [5] Lundgren J, Internal Cooling Design Using Multiphysics Topology Optimization, PhD thesis, Linköping University, 2024 [6] Hederberg H, Thore C-J, Hederberg, H., Thore, C-J. Fluid–structure interaction topology optimization using density jumps for implicit boundary representation. Struct Multidisc Optim, 2025 [7] S Suresh, SB. Lindström, A Klarbring, M Wallin and Thore C-J, Non-proportional high-cycle fatigue-constrained gradient-based topology optimization using a continuous-time model. Computer Methods in Applied Mechanics and Engineering, 2025. 435.