A multiplicative regularized Gauss-Newton method with trust region Sequential Quadratic Programming for structural model updating

Matteo Mazzotti,Qiang Mao,Ivan Bartoli,Stylianos Livadiotis

Mechanical Systems and Signal Processing（2019）

引用 16|浏览3

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摘要

•A new method for sensitivity-based model updating is proposed.•Ill-conditioning is mitigated by a multiplicative regularization approach.•A trust region Sequential Quadratic Programming with bound constraints is used.•The size of the trust region is a parameter of the regularization functional.•The damaged bearing of an in-service bridge is identified by leveraging modal data.

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关键词

Model updating,Inverse problem,Multiplicative regularization,Sequential Quadratic Programming,Modal analysis

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