Review article - (2025)24, 370 - 387
DOI:
https://doi.org/10.52082/jssm.2025.370
A Systematic Review of Finite Element Analysis in Running Footwear Biomechanics: Insights for Running-Related Musculoskeletal Injuries
Yang Song1,†, Xuanzhen Cen2,†, Meizi Wang1, Zixiang Gao3, Qitao Tan1, Dong Sun2, Yaodong Gu2, Yan Wang1,4,5,, Ming Zhang1,5
1Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China
2Faculty of Sports Science, Ningbo University, Ningbo, China
3Human Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, Canada
4The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, China
5Research Institute for Sports Science and Technology, The Hong Kong Polytechnic University, Hong Kong SAR, China
These authors have contributed equally to this work.

Yan Wang
✉ Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
Email: annie.y.wang@polyu.edu.hk
Received: 15-11-2024 -- Accepted: 10-05-2025
Published (online): 01-06-2025

ABSTRACT

This study presented a systematic review of recent advancements in the application of finite element (FE) methods to running and running shoe biomechanics. It focused on outlining the general approach to build foot-running shoe FE models, exploring their current applications and challenges, and providing directions for future research. The review also aimed to highlight the gap between theoretical mechanical responses in simulations and real-world manifestations of running-related musculoskeletal injuries (RRMI). A comprehensive search of electronic databases, including Web of Science, PubMed, and Scopus, identified 12 eligible articles for inclusion in this review. Current studies have examined the effects of various running shoe design features and conditions on the mechanical response of internal foot tissues using foot-running shoe FE models. These models have gradually evolved from simplified local representations to more realistic and comprehensive models, with the incorporation of experimental data enhancing simulation accuracy. However, to further improve simulation outcomes, key advancements are proposed to reduce development time and enhance model robustness. These include high-fidelity 3D model development, personalized shape transformation, AI-driven automated reconstruction, comprehensive dynamic running simulations, and improved validation methods. More importantly, future research needs to bridge the gap between FE simulations and RRMI risk by addressing the complexities of bone fracture criteria and conducting localized assessments of bone properties. Overall, this review provided valuable insights for biomedical engineers, medical professionals, and researchers, facilitating more accurate investigations of foot-running shoe FE models. Ultimately, these advancements aim to improve footwear design and training programs to reduce the risk of RRMI.

Key words: Computational simulation, footwear biomechanics, RRMI, running

Key Points
  • Previous FE studies have focused on how running shoe design parameters affect foot mechanics, aiming to optimize shoe design and reduce RRMI risk.
  • Future work should consider applying personalized shape transformation and AI-driven techniques for rapid large-scale FE modeling and dynamic running simulations.
  • Addressing bone fracture criteria and localized bone assessments is key to bridging the gap between FE simulations and RRMI risk.








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