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Damage identification using inverse analysis in coupled thermo‐hydro‐mechanical problems applied to masonry dams
Author(s) -
NguyenTuan Long,
Könke Carsten,
Bettzieche Volker,
Lahmer Tom
Publication year - 2017
Publication title -
international journal for numerical and analytical methods in geomechanics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.419
H-Index - 91
eISSN - 1096-9853
pISSN - 0363-9061
DOI - 10.1002/nag.2723
Subject(s) - inverse problem , masonry , inverse , nonlinear system , displacement (psychology) , sampling (signal processing) , structural engineering , mathematics , computer science , engineering , mathematical analysis , physics , psychology , geometry , filter (signal processing) , quantum mechanics , computer vision , psychotherapist
Summary In this paper, we propose a method to detect the damage and estimate the degree of damage by means of a multifield‐based inverse analysis. The fields being considered are displacement, temperature, and water pressure. Furthermore, the uncertainties due to the size of the damage, the errors in the measurement data, and the errors in the model parameters are also investigated. The uncertainty due to the measurements is quantified by assuming different sources of noise in the measurements. The inverse problem is solved repeatedly by a sampling process. The uncertainties in the inverse solutions can be quantified by their probability distributions. This method can be applied to identify damages in masonry dams using coupled nonlinear thermo‐hydro‐mechanical problems.