Nowadays many tools exist for modelling electromagnetic fields in human body. However, the reliability of such a modelling is still an issue, due to the complexity of the human body and the uncertainty of many parameters. The accuracy of the Finite Element Method solution is linked to the quality of the mesh of the computational phantom. In this work we present a residual based error estimator to quantify the local numerical error which can be used with the classical Φ - A formulation
Improving the quality of computational phantoms by using a surface subdivision method: effect on the computational results
Scorretti, Riccardo;
2013
Abstract
Nowadays many tools exist for modelling electromagnetic fields in human body. However, the reliability of such a modelling is still an issue, due to the complexity of the human body and the uncertainty of many parameters. The accuracy of the Finite Element Method solution is linked to the quality of the mesh of the computational phantom. In this work we present a residual based error estimator to quantify the local numerical error which can be used with the classical Φ - A formulationFile in questo prodotto:
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