Mini-symposium S8

S8: Advances in Computational Methodologies for Multiphysics Problems

Co-chairs: 

Chennakesava Kadapa (Edinburgh Napier University)*

Mokarram Hossain (Swansea University)

Rainer Groh (University of Bristol)

Keywords: Multiphysics; Coupled problems; FEM; Partitioned schemes; Smart materials.

ABSTRACT

Multiphysics problems at the interface between solid mechanics, fluid mechanics, heat transfer, chemical diffusion and electromagnetism are ubiquitous in real-world engineering and scientific applications. The challenging aspect of computer simulations of multiphysics problems is that they require efficient resolution of the coupling between different sub-problems. Due to the coupled behaviour inherent in the multiphysical systems, they necessitate advanced computational methodologies that are robust, accurate and scalable on HPC for solving the multiple coupled partial/ordinary differential equations governing different physics.

This mini-symposium aims to bring together researchers working on computational methodologies for multiphysics problems. We invite contributions from researchers on new mathematical formulations, different discretization techniques (FEM, FVM, IGA, SPH, MPM), coupling schemes, and parallel algorithms for solving multiphysics problems, including but not limited to electro-mechanics, magneto-mechanics, chemo-mechanics, fluid-structure interaction, conjugate heat transfer, combustion, etc.

REFERENCES

[1] C. Kadapa, M. Hossain. A unified numerical approach for soft to hard magneto-viscoelastically coupled polymers, MECHANICS OF MATERIALS, 166:104207, 2022.

[2] Z. Li, Y. Wang, Z. Wang, C. Kadapa, M. Hossain, X. Yao, J. Wang. Coupled magneto-mechanical growth in hyperelastic materials: Surface patterns modulation and shape control in bio-inspired structures, Journal of the Mechanics and Physics of Solids, 200:106089, 2025.

[3] A. Coccarelli, I. Polydoros, A. Drysdale, O. F. Harraz, C. Kadapa. A new computational framework for quantifying blood flow dynamics across myogenically-active cerebral arterial networks, Biomechanics and Modeling in Mechanobiology, 2025. DOI: 10.1007/s10237-025-01958-3.