A numerical method to enhance the accuracy of mass-spring systems for modeling soft tissue deformations.

This technical note presents a numerical corrective technique that allows control of nonlinearity in a mass-spring system (MSS) independent of its spring constants or system topology. The governing equations of MSS in the form of ordinary differential equations or a regular function accompanied by a...

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Publicado en:Journal of Applied Biomechanics Vol. 25; no. 3; pp. 271 - 279
Autor principal: Mohammadi H
Formato: equations & formulas research tables/charts Journal Article
Publicado: Human Kinetics Publishers, Inc. Aug2009
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Aug2009
      vid: 25
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      pub: Human Kinetics Publishers, Inc.
      place: Champaign, Illinois
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        atl: A numerical method to enhance the accuracy of mass-spring systems for modeling soft tissue deformations.
      aug:
        au: Mohammadi H
        affil: University of Western Ontario, London, Ontario, Canada
      sug:
        subj:
          Elasticity Evaluation
          Models, Statistical
          Algorithms
          Data Analysis Software
          Finite Element Analysis
          Funding Source
          Mathematics
          Human
      ab: This technical note presents a numerical corrective technique that allows control of nonlinearity in a mass-spring system (MSS) independent of its spring constants or system topology. The governing equations of MSS in the form of ordinary differential equations or a regular function accompanied by any boundary or initial condition as known constraints, are employed to modify the results. A least-squares algorithm coupled with the finite difference method is used to discretize the basic residual function implemented in this corrective technique. This numerical solution is applicable to both static and dynamic MSS. This technique is easy to implement and has accuracy similar to that of the equivalent finite element method (FEM) solution to the same system whereas solutions are obtained in a fraction of the CPU time. The proposed technique can also be used to smooth solutions from other methods such as FEM or boundary element method (BEM).
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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