TY - JOUR
T1 - A Systematic Review of Finite Element Analysis in Running Footwear Biomechanics: Insights for Running-Related Musculoskeletal Injuries
AU - Song, Yang
AU - Cen, Xuanzhen
AU - Wang, Meizi
AU - Gao, Zixiang
AU - Tan, Qitao
AU - Sun, Dong
AU - Gu, Yaodong
AU - Wang, Yan
AU - Zhang, Ming
N1 - Publisher Copyright:
© 2025, Journal of Sport Science and Medicine. All rights reserved.
PY - 2025/6/1
Y1 - 2025/6/1
N2 - 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, includ-ing 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 meth-ods. More importantly, future research needs to bridge the gap between FE simulations and RRMI risk by addressing the com-plexities of bone fracture criteria and conducting localized assess-ments of bone properties. Overall, this review provided valuable insights for biomedical engineers, medical professionals, and re-searchers, facilitating more accurate investigations of foot-run-ning shoe FE models. Ultimately, these advancements aim to improve footwear design and training programs to reduce the risk of RRMI.
AB - 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, includ-ing 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 meth-ods. More importantly, future research needs to bridge the gap between FE simulations and RRMI risk by addressing the com-plexities of bone fracture criteria and conducting localized assess-ments of bone properties. Overall, this review provided valuable insights for biomedical engineers, medical professionals, and re-searchers, facilitating more accurate investigations of foot-run-ning shoe FE models. Ultimately, these advancements aim to improve footwear design and training programs to reduce the risk of RRMI.
KW - Computational simulation
KW - footwear biomechanics
KW - RRMI
KW - running
UR - https://www.scopus.com/pages/publications/105007772932
U2 - 10.52082/jssm.2025.370
DO - 10.52082/jssm.2025.370
M3 - Review article
C2 - 40469859
AN - SCOPUS:105007772932
SN - 1303-2968
VL - 24
SP - 370
EP - 387
JO - Journal of Sports Science and Medicine
JF - Journal of Sports Science and Medicine
IS - 2
ER -