Evidence map›Paper›PMID 39997142›Full record

ArticleBiomimetics (Basel, Switzerland)2025

A Bioinspired Multi-Level Numerical Model of the Tibiofemoral Joint for Biomechanical and Biomimetic Applications.

Yuyang Wei, Yijie Chen, Sihan Jia, Lingyun Yan, Luzheng Bi

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yuyang WeiDepartment of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK.ORCID 0000-0002-3200-8598
Yijie ChenDepartment of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0002-3070-7870
Sihan JiaDepartment of Civil Engineering, University of Birmingham, Birmingham B15 2TT, UK.
Lingyun YanDepartment of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0002-9986-2182
Luzheng BiSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing 100811, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents a comprehensive three-dimensional finite element (FE) model inspired by the biomechanics of the human knee, specifically the tibiofemoral joint during the gait cycle. Drawing from natural biological systems, the model integrates bio-inspired elements, including transversely isotropic materials, to replicate the anisotropic properties of ligaments and cartilage, along with anatomically realistic bone and meniscus structures. This dual-material approach ensures a physiologically accurate representation of knee mechanics under varying conditions. The model effectively captures key biomechanical parameters, including a maximum medial tibial cartilage contact pressure of 16.75 MPa at 25% of the stance phase and a maximum femoral cartilage pressure of 10.57 MPa at 75% of the stance phase. Furthermore, its strong correlation with in vivo and in vitro data highlights its potential for clinical applications in orthopedics, such as pre-surgical planning and post-operative assessments. By bridging the gap between biomechanics and bioinspired design, this research contributes significantly to the field of biomimetics and offers a robust simulation tool for enhancing joint protection strategies and optimizing implant designs.

Indexed as

biomechanicscartilagesfinite element modelmeniscustibiofemoral jointtibiofemoral ligaments

Identifiers

PMID39997142
PMCPMC11853415

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.