Literature DB >> 17558646

Verification, validation and sensitivity studies in computational biomechanics.

Andrew E Anderson1, Benjamin J Ellis, Jeffrey A Weiss.   

Abstract

Computational techniques and software for the analysis of problems in mechanics have naturally moved from their origins in the traditional engineering disciplines to the study of cell, tissue and organ biomechanics. Increasingly complex models have been developed to describe and predict the mechanical behavior of such biological systems. While the availability of advanced computational tools has led to exciting research advances in the field, the utility of these models is often the subject of criticism due to inadequate model verification and validation (V&V). The objective of this review is to present the concepts of verification, validation and sensitivity studies with regard to the construction, analysis and interpretation of models in computational biomechanics. Specific examples from the field are discussed. It is hoped that this review will serve as a guide to the use of V&V principles in the field of computational biomechanics, thereby improving the peer acceptance of studies that use computational modeling techniques.

Mesh:

Year:  2007        PMID: 17558646      PMCID: PMC3361760          DOI: 10.1080/10255840601160484

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  47 in total

1.  Dynamic finite element implementation of nonlinear, anisotropic hyperelastic biological membranes.

Authors:  D R Einstein; P Reinhall; M Nicosia; R P Cochran; K Kunzelman
Journal:  Comput Methods Biomech Biomed Engin       Date:  2003-02       Impact factor: 1.763

2.  Development of a finite element model of the upper cervical spine and a parameter study of ligament characteristics.

Authors:  Karin Brolin; Peter Halldin
Journal:  Spine (Phila Pa 1976)       Date:  2004-02-15       Impact factor: 3.468

3.  Modeling the biomechanics of the mandible: a three-dimensional finite element study.

Authors:  R T Hart; V V Hennebel; N Thongpreda; W C Van Buskirk; R C Anderson
Journal:  J Biomech       Date:  1992-03       Impact factor: 2.712

4.  Finite element modeling of optic nerve head biomechanics.

Authors:  Ian A Sigal; John G Flanagan; Inka Tertinegg; C Ross Ethier
Journal:  Invest Ophthalmol Vis Sci       Date:  2004-12       Impact factor: 4.799

5.  Extracting clinically relevant data from finite element simulations.

Authors:  Marco Viceconti; Sigbjorn Olsen; Lutz-P Nolte; Kim Burton
Journal:  Clin Biomech (Bristol, Avon)       Date:  2005-06       Impact factor: 2.063

6.  Methodology and sensitivity studies for finite element modeling of the inferior glenohumeral ligament complex.

Authors:  Benjamin J Ellis; Richard E Debski; Susan M Moore; Patrick J McMahon; Jeffrey A Weiss
Journal:  J Biomech       Date:  2006-03-31       Impact factor: 2.712

7.  How the stiffness of meniscal attachments and meniscal material properties affect tibio-femoral contact pressure computed using a validated finite element model of the human knee joint.

Authors:  Tammy L Haut Donahue; M L Hull; Mark M Rashid; Christopher R Jacobs
Journal:  J Biomech       Date:  2003-01       Impact factor: 2.712

8.  Finite element stress analysis of an intervertebral disc.

Authors:  T Belytschko; R F Kulak; A B Schultz; J O Galante
Journal:  J Biomech       Date:  1974-05       Impact factor: 2.712

9.  Finite deformation analysis of the relaxed and contracted dog carotid artery.

Authors:  J M Doyle; P B Dobrin
Journal:  Microvasc Res       Date:  1971-10       Impact factor: 3.514

10.  A modeling framework to estimate patellofemoral joint cartilage stress in vivo.

Authors:  Thor F Besier; Garry E Gold; Gary S Beaupré; Scott L Delp
Journal:  Med Sci Sports Exerc       Date:  2005-11       Impact factor: 5.411

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  48 in total

1.  FEBio: finite elements for biomechanics.

Authors:  Steve A Maas; Benjamin J Ellis; Gerard A Ateshian; Jeffrey A Weiss
Journal:  J Biomech Eng       Date:  2012-01       Impact factor: 2.097

2.  Prediction of In Vivo Knee Joint Loads Using a Global Probabilistic Analysis.

Authors:  Alessandro Navacchia; Casey A Myers; Paul J Rullkoetter; Kevin B Shelburne
Journal:  J Biomech Eng       Date:  2016-03       Impact factor: 2.097

3.  The Influence of Component Alignment and Ligament Properties on Tibiofemoral Contact Forces in Total Knee Replacement.

Authors:  Colin R Smith; Michael F Vignos; Rachel L Lenhart; Jarred Kaiser; Darryl G Thelen
Journal:  J Biomech Eng       Date:  2016-02       Impact factor: 2.097

Review 4.  FEBio: History and Advances.

Authors:  Steve A Maas; Gerard A Ateshian; Jeffrey A Weiss
Journal:  Annu Rev Biomed Eng       Date:  2017-06-21       Impact factor: 9.590

5.  Validation of finite element predictions of cartilage contact pressure in the human hip joint.

Authors:  Andrew E Anderson; Benjamin J Ellis; Steve A Maas; Christopher L Peters; Jeffrey A Weiss
Journal:  J Biomech Eng       Date:  2008-10       Impact factor: 2.097

6.  On an infrastructure to support sharing and aggregating pre- and post-publication systems biology research data.

Authors:  Mark Slaymaker; James Osborne; Andrew Simpson; David Gavaghan
Journal:  Syst Synth Biol       Date:  2012-08-03

7.  Evaluation of fundamental hypotheses underlying constrained mixture models of arterial growth and remodelling.

Authors:  A Valentín; J D Humphrey
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2009-09-13       Impact factor: 4.226

8.  A new discrete element analysis method for predicting hip joint contact stresses.

Authors:  Christine L Abraham; Steve A Maas; Jeffrey A Weiss; Benjamin J Ellis; Christopher L Peters; Andrew E Anderson
Journal:  J Biomech       Date:  2013-03-01       Impact factor: 2.712

9.  Effect of material properties on predicted vesical pressure during a cough in a simplified computational model of the bladder and urethra.

Authors:  Thomas Spirka; Kimberly Kenton; Linda Brubaker; Margot S Damaser
Journal:  Ann Biomed Eng       Date:  2012-08-21       Impact factor: 3.934

10.  Parameter sensitivity study of a constrained mixture model of arterial growth and remodeling.

Authors:  A Valentín; J D Humphrey
Journal:  J Biomech Eng       Date:  2009-10       Impact factor: 2.097

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