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Computational Inverse Techniques

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Numerical Simulation-based Design

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Abstract

The computational inverse technique-based high-fidelity numerical modeling is a comprehensive analysis of the experimental data and the numerical simulation model instead of a simple modeling analysis process or an optimal iteration process. Appropriate physical experiments are required to ensure the relatively strong sensitivity between the measured responses and the modeling parameters, while the numerical solution is expected to be available. In addition, the identification of the model parameters should address three problems, i.e., high computational intensity and the ill-posedness of the system, improvement for the identification efficiency and stability and the optimality of the solution to a specific extent.

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Authors and Affiliations

  1. Hunan University, Changsha, Hunan, China

    Xu Han

  2. College of Mechanical and Vehicle Engineering, Hunan University, Changsha, Hunan, China

    Jie Liu

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  1. Xu Han
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  2. Jie Liu
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Correspondence to Xu Han .

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Han, X., Liu, J. (2020). Computational Inverse Techniques. In: Numerical Simulation-based Design. Springer, Singapore. https://doi.org/10.1007/978-981-10-3090-1_3

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  • DOI: https://doi.org/10.1007/978-981-10-3090-1_3

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  • Print ISBN: 978-981-10-3089-5

  • Online ISBN: 978-981-10-3090-1

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