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- W2782944997 abstract "This contribution deals with the inverse problem of indirect identification of moving loads. The identification is performed based on the recorded response of the loaded structure and its numerical model. A specific feature of such problems is a very large number of the degrees of freedom (DOFs) that can be excited and a limited number of available sensors. As a result, unless the solution space is significantly limited, the identification problem is underdetermined: it has an infinite number of exact, observationally indistinguishable solutions. We propose an approach based on the assumption of sparsity of the excitation, which can be expressed in the form of a requirement of a bounded l1 norm of the solution. As long as the loads are sparse, the approach allows them to be freely moving, without the usual assumption of a constant velocity. We first test the approach in a numerical example with 10% rms measurement noise. A good qualitative agreement of the numerical results allows to proceed with experimental investigations, and the moving load identification is then carried out based on the response measured experimentally on a lab test stand." @default.
- W2782944997 created "2018-01-26" @default.
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- W2782944997 date "2018-01-01" @default.
- W2782944997 modified "2023-09-23" @default.
- W2782944997 title "Identification of moving loads using the ℓ1 norm minimization" @default.
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- W2782944997 doi "https://doi.org/10.1063/1.5019092" @default.
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