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- W3201672582 abstract "We study the geometric inverse problem of cavities identification in linear elasticity equation with partially over-determined boundary data. This work proposes a way to compute the topological derivative based on the topological sensitivity analysis concepts, adopting the energy-gap and the L2-gap as cost functionals. Then, a comparison of both functionals is presented to determine the best choice for numerical studies. Further, several numerical experiences are shown to explore the efficiency of this method." @default.
- W3201672582 created "2021-10-11" @default.
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- W3201672582 date "2021-10-06" @default.
- W3201672582 modified "2023-09-26" @default.
- W3201672582 title "Cavities identification in linear elasticity: energy-gap versus L2-gap cost functionals" @default.
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- W3201672582 doi "https://doi.org/10.1080/17415977.2021.1974019" @default.
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