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A multi-scale finite element framework for evaluating buttocks–support surface interactions under static and dynamic loading

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  • Published: 31 August 2026
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Journal of NeuroEngineering and Rehabilitation Aims and scope Submit manuscript
A multi-scale finite element framework for evaluating buttocks–support surface interactions under static and dynamic loading
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  • Liqing Yang1,
  • Guoxing Liu2,
  • Yun Zhao1,
  • Zhukun Mi3,
  • Jisi Tang4,5,
  • Xin Zhang4,5,
  • Shan Tian6,
  • Haotian Xu4,
  • Rongqin Huang4,
  • Xuewen Zhang4,7,
  • Wensheng Hou4,
  • Xiaoying Wu4,5,
  • Xing Wang4,5 &
  • …
  • Lin Chen4,5 
  • 50 Accesses

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We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply.

Abstract

Background and objective

The prevention of pressure injury (PI) remains challenging due to limited clinical evidence, while existing biomechanical studies, as complementary approaches, are largely confined to static conditions, simplified models, and insufficient representation of dynamic mattress behavior. Therefore, this study developed a multi-scale biomechanical framework to evaluate buttocks–support surface interactions under both static and dynamic loading conditions and to inform surface selection and design.

Methods

A subject-specific buttocks model reconstructed from MRI/CT was combined with three support surfaces modeled in CAD—standard foam mattress (SFM), strip air-filled mattress (ST-AFM), and spherical air-filled mattress (SP-AFM)—to generate three distinct biomechanical models. Soft tissues and SFM were modeled using hyperelastic Ogden formulations, while air-chamber membranes were represented by calibrated Mooney–Rivlin models with internal ideal gas. Finite element simulations were conducted under static and alternating-pressure conditions (24/12 kPa), evaluating stiffness, reaction force, interface stress, and tissue strain.

Results

Under static loading, SFM exhibited the highest stiffness (7.69 N/mm), whereas SP-AFM showed lower stiffness (5.35 N/mm) and a lower proportion of simulated high-stress regions (> 16 kPa) by up to 0.53% under the prescribed-displacement condition. Strain responses were region-specific: SP-AFM produced lower compressive and shear strain magnitudes in the ischial tuberosity (IT) region (LE22: − 0.489; LE12: 0.506), while ST-AFM produced lower strain magnitudes in the sacrococcygeal (SC) region (LE22: − 1.183; LE12: 0.805). Under cyclic loading, stiffness decreased and strain exhibited phase-dependent variations. In the IT region, SP-AFM strain decreased from 0.4430 to 0.363 (− 17.8%), whereas ST-AFM increased to 0.712, exceeding SFM baseline by 13.5%.

Conclusion

This study developed a multi-scale finite element framework for evaluating buttocks–support surface interactions and demonstrates that the mechanical performance of support surfaces is governed by the coupled interaction between structural configuration, anatomical heterogeneity, and temporal load modulation. These findings may guide pressure injury prevention by supporting region-specific chamber design and phase-aware pressure-control strategies to reduce sustained compression and transient tissue overloading in pressure-injury-prone areas.

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Acknowledgements

This work was supported by the National Key Research and Development Program of China (2025YFC3610101,2020YFC2005901), the National Science Foundation of China (31800824), the Chongqing Science & Technology Program (CSTB2022NSCQ-MSX1543, CSTB2025NSCQ-GPX0794), the Chongqing Key Project for Technology Innovation and Application Development (CSTB2025TIAD-JM011), the Science and Technology Innovation Project of Chengdu-Chongqing Two-City Economic Circle (KJCXZD2020009), the State Key Laboratory of Intelligent Vehicle Safety Technology Open Fund Project (IVSTSKL-202405), the Key Laboratory of Acupuncture-Moxibustion and Tuina Intelligent Equipment of Chongqing Administration of Traditional Chinese Medicine (ZITNZDSYS01-02), and the Scientific and Technological Research Program of the Chongqing Education Commission (KJZD-M202603101).

Funding

This work was supported by the National Key Research and Development Program of China (2025YFC3610101, 2020YFC2005901), the National Science Foundation of China (31800824), the Chongqing Science & Technology Program (CSTB2022NSCQ-MSX1543, CSTB2025NSCQ-GPX0794), the Chongqing Key Project for Technology Innovation and Application Development (CSTB2025TIAD-JM011), the Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJCXZD2020009, KJZD-M202603101), the State Key Laboratory of Intelligent Vehicle Safety Technology Open Fund Project (IVSTSKL-202405), and the Key Laboratory of Acupuncture-Moxibustion and Tuina Intelligent Equipment of Chongqing Administration of Traditional Chinese Medicine (ZITNZDSYS01-02).

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Authors and Affiliations

  1. School of Smart Health, Chongqing Polytechnic University of Electronic Technology, Chongqing, China

    Liqing Yang & Yun Zhao

  2. Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China

    Guoxing Liu

  3. Center for Innovative Structures, College of Civil Engineering, Nanjing Tech University, Nanjing, Jiangsu, China

    Zhukun Mi

  4. Key Laboratory of Biorheological Science and Technology of Ministry of Education, Chongqing University, Chongqing, China

    Jisi Tang, Xin Zhang, Haotian Xu, Rongqin Huang, Xuewen Zhang, Wensheng Hou, Xiaoying Wu, Xing Wang & Lin Chen

  5. Chongqing Medical Electronics Engineering Technology Research Center, Chongqing University, Chongqing, China

    Jisi Tang, Xin Zhang, Xiaoying Wu, Xing Wang & Lin Chen

  6. Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beihang University, Beijing, China

    Shan Tian

  7. Key Laboratory of Acupuncture-Moxibustion and Tuina Intelligent Equipment of Chongqing Administration of Traditional Chinese Medicine, Chongqing Three Gorges Medical College, Chongqing, 404120, China

    Xuewen Zhang

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  1. Liqing Yang
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Correspondence to Lin Chen.

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Ethics approval and consent to participate

The research protocol was approved by the Human Research Ethics Committee of the First Affiliated Hospital of Chongqing Medical University (Protocol Number 2020–622). During participant recruitment, the purpose of the study was explained to the participant, and written informed consent was obtained.

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Cite this article

Yang, L., Liu, G., Zhao, Y. et al. A multi-scale finite element framework for evaluating buttocks–support surface interactions under static and dynamic loading. J NeuroEngineering Rehabil (2026). https://doi.org/10.1186/s12984-026-02135-y

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  • Received: 13 April 2026

  • Accepted: 22 August 2026

  • Published: 31 August 2026

  • DOI: https://doi.org/10.1186/s12984-026-02135-y

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Keywords

  • Pressure injury prevention
  • Buttocks–support surface interaction
  • Finite element modeling
  • Pressure redistribution
  • Soft tissue mechanics
  • Dynamic loading

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  • How do buttocks-support surfaces interact biomechanically under static and dynamic loads?
  • How can multi-scale modeling improve pressure injury prevention strategies?
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