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http://hdl.handle.net/10397/91232
Title: | Plantar fascia loading at different running speed: a dynamic finite element model prediction | Authors: | Chen, TLW Wong, DWC Wang, Y Zhang, M |
Issue Date: | 15-Apr-2021 | Source: | HKIE transactions, 15 Apr. 2021, v. 28, no. 1, p.14-21 | Abstract: | Loads on the plantar fascia could be influenced by running speed and relate to its pathology. This study calculated and compared plantar fascia strains under different running speed conditions using a dynamic finite element foot model and computational simulations. The model was previously validated featuring twenty bones, bulk soft tissue, muscles/ligaments, and a solid part of plantar fascia. A runner performed running trials under one preferred speed (PS), two lower (PS - 10% and PS - 20%) and two higher (PS + 10% and PS + 20%) speed conditions. The movement data were processed to drive musculoskeletal modelling and calculated boundary/loading conditions for the subsequent finite element analyses. The results show that peak strains of the plantar fascia increased with increasing running speed. From PS – 20% to PS + 20%, peak strain in the proximal and distal fascia regions increased by 96.78% and 58.89% respectively. Running speed could directly affect plantar fascia loading, which should be considered in running regimens and rehabilitation programmes. However, prescribing speed control for runners is worth pondering as it influences the trade-off between maximum singlestep loads and loading frequency, which in coalescence determine the risk of plantar fascia injury and warranted further investigations. | Keywords: | Plantar fascia Running Tensile strain Finite element modelling Computational simulation |
Publisher: | Hong Kong Institution of Engineers | Journal: | HKIE transactions | ISSN: | 1023-697X | EISSN: | 2326-3733 | DOI: | 10.33430/V28N1THIE-2020-0011 | Rights: | © 2021 The Hong Kong Institution of Engineers Posted with permission of the publisher. |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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THIE-2020-0011.R1_AM.pdf | Pre-Published version | 1.69 MB | Adobe PDF | View/Open |
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