TS021 - Multi-physics modelling
Keywords: computational methods, multiphysics modeling, numerical simulation
Recent years have seen a surge in the development of coupled, multi-physics models capable of capturing the interaction between chemical, thermal, electrical and mechanical fields. Together with the continuous increase in computational power, this new class of electro-thermo-chemo-mechanical models enables gaining unprecedented insight into key scientific and technological problems such as the degradation of Li-Ion batteries [1], the corrosion of metals and reinforced concrete structures [2,3], the chemo-mechanical behaviour of hydrogels and active materials [4], and the early detection of neurodegenerative diseases [5]. This mini-symposium is aimed at bringing together computational solid and fluid scientists working in coupled problems. Of particular interest is the development of new algorithms and computational multi-physics techniques, but also the application of existing techniques and models to new, interested coupled problems.
REFERENCES
[1] Zarzoso, G., Roque, E., Montero-Chacon, F. and Segurado, J. An FFT based chemo-mechanical framework with fracture: Application to mesoscopic electrode degradation. Mechanics of Materials, 201, 105211. (2025)
[2] Kovacevic, S., Ali, W., Martínez-Pañeda, E. and LLorca, J. Phase-field modeling of pitting and mechanically-assisted corrosion of Mg alloys for biomedical applications. Acta Biomaterialia, 164, pp. 641-658. (2023)
[3] Korec, E., Jirásek, M., Wong, H.S. and Martínez-Pañeda, E. Unravelling the interplay between steel rebar corrosion rate and corrosion-induced cracking of reinforced concrete. Cement and Concrete Research, 186, 107647 (2024).
[4] Crespo-Miguel, J., Lucarini, S., Garzon-Hernandez, S., Arias, A., Martínez-Pañeda, E. and Garcia-Gonzalez, D. In-silico platform for the multifunctional design of 3D printed conductive components. Nature Communications, 16(1), 1359 (2025).
[5] Schäfer, A., Weickenmeier, J. and Kuhl, E.. The interplay of biochemical and biomechanical degeneration in Alzheimer’s disease. Computer Methods in Applied Mechanics and Engineering, 352, pp.369-388. (2019)
