2008
DOI: 10.1080/17415970802082914
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Cavity detection in biomechanics by an inverse evolutionary point load BEM technique

Abstract: An efficient solution of the inverse geometric problem for cavity detection using a point load superposition technique in the elastostatics boundary element method (BEM) is presented in this article. A superposition of point load clusters technique is used to simulate the presence of cavities. This technique offers tremendous advantages in reducing the computational time for the elastostatics field solution as no boundary re-discretization is necessary throughout the inverse problem solution process. The inver… Show more

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Cited by 10 publications
(1 citation statement)
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“…This allowed for accurate and efficient identification of subsurface cavities without the need of regenerating geometries or BEM interpolation matrices. This technique was later extended by Ojeda, Divo, and Kassab [25] for biomechanical applications of cavity detection in cortical bones. In this case, the deformation field difference with respect to a measured field at the exposed boundaries was minimized by using an elastostatics BEM code and employing a variety of differently shaped anchored grid patterns (AGP) that adapt to the shape of the internal cavity using the efficient singularity superposition idea.…”
Section: Figurementioning
confidence: 99%
“…This allowed for accurate and efficient identification of subsurface cavities without the need of regenerating geometries or BEM interpolation matrices. This technique was later extended by Ojeda, Divo, and Kassab [25] for biomechanical applications of cavity detection in cortical bones. In this case, the deformation field difference with respect to a measured field at the exposed boundaries was minimized by using an elastostatics BEM code and employing a variety of differently shaped anchored grid patterns (AGP) that adapt to the shape of the internal cavity using the efficient singularity superposition idea.…”
Section: Figurementioning
confidence: 99%