Subject-specific finite element models implementing a maximum principal strain criterion are able to estimate failure risk and fracture location on human femurs tested in vitro

有限元法 断裂(地质) 冯·米塞斯屈服准则 结构工程 压力(语言学) 流离失所(心理学) 生物力学 应变能密度函数 数学 计算机科学 工程类 岩土工程 医学 哲学 心理学 生理学 语言学 心理治疗师
作者
Enrico Schileo,Fulvia Taddei,Luca Cristofolini,Marco Viceconti
出处
期刊:Journal of Biomechanics [Elsevier]
卷期号:41 (2): 356-367 被引量:311
标识
DOI:10.1016/j.jbiomech.2007.09.009
摘要

No agreement on the choice of the failure criterion to adopt for the bone tissue can be found in the literature among the finite element studies aiming at predicting fracture risk of bones. The use of stress-based criteria seems to prevail on strain-based ones, while basic bone biomechanics suggest using strain parameters to describe failure. The aim of the present combined experimental-numerical study was to verify, using subject-specific finite element models able to accurately predict strains, if a strain-based failure criterion could identify the failure patterns of bones. Three cadaver femurs were CT-scanned and subsequently fractured in a clinically relevant single-stance loading scenario. Load-displacement curves and high-speed movies were acquired to define the failure load and the location of fracture onset, respectively. Subject-specific finite element models of the three femurs were built from CT data following a validated procedure. A maximum principal strain criterion was implemented in the finite element models, and two stress-based criteria selected for comparison. The failure loads measured were applied to the models, and the computed risks of fracture were compared to the results of the experimental tests. The proposed principal strain criterion managed to correctly identify the level of failure risk and the location of fracture onset in all the modelled specimens, while Von Mises or maximum principal stress criteria did not give significant information. A maximum principal strain criterion can thus be defined a suitable candidate for the in vivo risk factor assessment on long bones.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Cong应助匡佐英采纳,获得10
1秒前
3秒前
yeah完成签到,获得积分10
3秒前
qiu发布了新的文献求助20
5秒前
6秒前
zm发布了新的文献求助10
7秒前
8秒前
可爱的函函应助威武果汁采纳,获得10
10秒前
Onlyyou发布了新的文献求助10
10秒前
圆润润呐完成签到 ,获得积分10
11秒前
充电宝应助铁路网125采纳,获得10
11秒前
12秒前
14秒前
15秒前
小马甲应助Hou采纳,获得10
15秒前
orixero应助Dongyu采纳,获得10
15秒前
dxm完成签到,获得积分10
15秒前
15秒前
ptalala完成签到,获得积分10
16秒前
eason发布了新的文献求助10
16秒前
17秒前
19秒前
19秒前
Singularity应助科研通管家采纳,获得10
19秒前
上官若男应助科研通管家采纳,获得10
19秒前
爱静静应助科研通管家采纳,获得30
19秒前
传奇3应助科研通管家采纳,获得10
19秒前
19秒前
Singularity应助dominate采纳,获得10
19秒前
科目三应助科研通管家采纳,获得10
19秒前
19秒前
852应助科研通管家采纳,获得10
19秒前
搜集达人应助科研通管家采纳,获得30
19秒前
赘婿应助科研通管家采纳,获得10
19秒前
星辰大海应助科研通管家采纳,获得10
20秒前
20秒前
21秒前
小pan完成签到 ,获得积分10
21秒前
22秒前
丁小丁发布了新的文献求助10
22秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Cognitive Paradigms in Knowledge Organisation 2000
Effect of reactor temperature on FCC yield 2000
How Maoism Was Made: Reconstructing China, 1949-1965 800
Introduction to Spectroscopic Ellipsometry of Thin Film Materials Instrumentation, Data Analysis, and Applications 600
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
Shining Light on the Dark Side of Personality 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3310609
求助须知:如何正确求助?哪些是违规求助? 2943401
关于积分的说明 8514871
捐赠科研通 2618733
什么是DOI,文献DOI怎么找? 1431388
科研通“疑难数据库(出版商)”最低求助积分说明 664462
邀请新用户注册赠送积分活动 649626