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Meshfree and Particle Methods in Biomechanics: Prospects and Challenges

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Abstract

The use of meshfree and particle methods in the field of bioengineering and biomechanics has significantly increased. This may be attributed to their unique abilities to overcome most of the inherent limitations of mesh-based methods in dealing with problems involving large deformation and complex geometry that are common in bioengineering and computational biomechanics in particular. This review article is intended to identify, highlight and summarize research works on topics that are of substantial interest in the field of computational biomechanics in which meshfree or particle methods have been employed for analysis, simulation or/and modeling of biological systems such as soft matters, cells, biological soft and hard tissues and organs. We also anticipate that this review will serve as a useful resource and guide to researchers who intend to extend their work into these research areas. This review article includes 333 references.

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Acknowledgements

The work described in this paper was fully supported by grants from the Research Grants Council (RGC) of the Hong Kong Special Administrative Region, China (Project No. 9042047, CityU 11208914), and National Natural Science Foundation of China (NSFC) (Grant No. 11402142 and Grant No. 51378448).

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  1. L. W. Zhang and A. S. Ademiloye have contributed equally to this work.

Authors and Affiliations

  1. Department of Engineering Mechanics, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

    L. W. Zhang

  2. Zienkiewicz Centre for Computational Engineering, College of Engineering, Swansea University, Bay Campus, Swansea, SA1 8EN, UK

    A. S. Ademiloye

  3. Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China

    K. M. Liew

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  1. L. W. Zhang
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Correspondence to K. M. Liew.

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Zhang, L.W., Ademiloye, A.S. & Liew, K.M. Meshfree and Particle Methods in Biomechanics: Prospects and Challenges. Arch Computat Methods Eng 26, 1547–1576 (2019). https://doi.org/10.1007/s11831-018-9283-2

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