A novel modeling approach for finite element human body models with high computational efficiency and stability: application in pedestrian safety analysis

• Autorzy: Li Guibing , Meng Hengshuai , Liu Jinming , Zou Donghua , Li Kui

Identyfikatory

DOI

10.37190/ABB-01792-2021-03

• Języki publikacji: EN

Abstrakty

EN

Purpose: The purpose of the current study was to develop and validate a finite element (FE) pedestrian model with high computational efficiency and stability using a novel modeling approach. Methods: Firstly, a novel modeling approach of using hollow structures (HS) to simulate the mechanical properties of soft tissues under impact loading was proposed and evaluated. Then, an FE pedestrian model was developed, employing this modeling approach based on the Total Human Model for Safety (THUMS) pedestrian model, named as THUMS-HS model. Finally, the biofidelity of the THUMS-HS model was validated against cadaver test data at both segment and full-body level. Results: The results show that the proposed hollow structures can simulate the mechanical properties of soft tissues and the predictions of the THUMS-HS model show good agreement with the cadaver test data under impact loading. Simulations also prove that the THUMS-HS model has high computational efficiency and stability. Conclusions: The proposed modeling approach of using hollow structures to simulate the mechanical properties of soft tissues is plausible and the THUMS-HS model could be used as a valid, efficient and robust numerical tool for analysis of pedestrian safety in vehicle collisions.

Słowa kluczowe

EN

human body; FE method; computational efficiency; computational stability; pedestrian safety

PL

ciało człowieka; metoda MES; wydajność obliczeniowa; stabilność obliczeniowa; bezpieczeństwo pieszych

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Acta of Bioengineering and Biomechanics
• Rocznik: 2021
• Tom: Vol. 23, no. 2
• Strony: 33--40
• Opis fizyczny: Bibliogr. 33 poz., rys., tab.

Twórcy

autor

Li Guibing

• School of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan, China

autor

Meng Hengshuai

• School of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan, China

autor

Liu Jinming

• School of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan, China

autor

Zou Donghua

• Shanghai Key Laboratory of Forensic Medicine, Academy of Forensic Science, Ministry of Justice, Shanghai, China

autor

Li Kui

• Chongqing Key Laboratory of Vehicle Crash/Bio-Impact and Traffic Safety, Institute for Traffic Medicine, Daping Hospital, Army Medical University, Chongqing, China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).