A novel fem framework for correlative study of mechanical properties of normal and osteoporotic human bone

BackgroundOsteoporosis is a prevalent bone disease which results in increased bone porosity and decreased bone density, which in turn raises the risk of fractures. A conflict between bone formation (the process of creating new bone tissue) and bone resorption (the degradation and removal of old bone tissue) causes the disorder. This imbalance causes the process of bone remodelling to be disrupted, which weakens the bone structures.ObjectiveDue to intrinsic anatomical differences, previous research on the prediction of bone failure has been imprecise. It requires improvement for load scenarios and validation for various demographics, ultimately leading to low accuracy.MethodsTo overcome these limitations, this study proposes a novel Finite Element analysis framework for predicting osteoporosis with the mechanical properties of human bone for stress, strain estimation.ResultsAs a result of this proposed framework proves its significance with stress in healthy bones is 2.557541680090727e-04 and bones with osteoporosis is 1.814480251460656e-03, young's modulus of healthy bones and unhealthy bones are 7.019135266051970e + 10 and 0.6158529354739577e + 10, the von Mises stress for healthy bone is 2.4897e + 07, and for the unhealthy bone is 2.8638e + 07, finally, the maximum deflection in healthy bone is 1.0235e-03, for unhealthy bone is 2.1182e-03.ConclusionThus the proposed model provides significant results in the presence or absence of osteoporosis disease.

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Publication Details

Journal
Bio-Medical Materials and Engineering
Published
2025-06-12
DOI
https://doi.org/10.1177/09592989251346476
Primary Topic
Bone health and osteoporosis research
Type
article
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article

A novel fem framework for correlative study of mechanical properties of normal and osteoporotic human bone

Raviraj H. Havaldar, Sanvi Pranav Bhise
Bio-Medical Materials and Engineering
Bone health and osteoporosis research
article

A novel fem framework for correlative study of mechanical properties of normal and osteoporotic human bone

Raviraj H. Havaldar, Sanvi Pranav Bhise
article en

Abstract

BackgroundOsteoporosis is a prevalent bone disease which results in increased bone porosity and decreased bone density, which in turn raises the risk of fractures. A conflict between bone formation (the process of creating new bone tissue) and bone resorption (the degradation and removal of old bone tissue) causes the disorder. This imbalance causes the process of bone remodelling to be disrupted, which weakens the bone structures.ObjectiveDue to intrinsic anatomical differences, previous research on the prediction of bone failure has been imprecise. It requires improvement for load scenarios and validation for various demographics, ultimately leading to low accuracy.MethodsTo overcome these limitations, this study proposes a novel Finite Element analysis framework for predicting osteoporosis with the mechanical properties of human bone for stress, strain estimation.ResultsAs a result of this proposed framework proves its significance with stress in healthy bones is 2.557541680090727e-04 and bones with osteoporosis is 1.814480251460656e-03, young's modulus of healthy bones and unhealthy bones are 7.019135266051970e + 10 and 0.6158529354739577e + 10, the von Mises stress for healthy bone is 2.4897e + 07, and for the unhealthy bone is 2.8638e + 07, finally, the maximum deflection in healthy bone is 1.0235e-03, for unhealthy bone is 2.1182e-03.ConclusionThus the proposed model provides significant results in the presence or absence of osteoporosis disease.

Bio-Medical Materials and EngineeringVol. 36(6)
KLE Technological University (IN), KLE Academy of Higher Education and Research (IN)
Openalex Percentile: Top 83%
Bone health and osteoporosis research
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A novel fem framework for correlative study of mechanical properties of normal and osteoporotic human bone — Raviraj H. Havaldar, Sanvi Pranav Bhise · Bio-Medical Materials and Engineering (2025) | TGRS Research Map | TGRS