This thesis develops methods for a digital twin for structural health monitoring, with a strong emphasis on their practical applications. The focus is on developments of damage detection with coda waves and computational model updating. In both methods, an inverse problem is solved to locate and classify structural changes. The methods are developed in an integral workflow, with verifications conducted through numerical experiments and final validations performed with real experiments, demonstrating their real-world applicability.
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This thesis develops methods for a digital twin for structural health monitoring, with a strong emphasis on their practical applications. The focus is on developments of damage detection with coda waves and computational model updating. In both methods, an inverse problem is solved to locate and classify structural changes. The methods are developed in an integral workflow, with verifications conducted through numerical experiments and final validations performed with real experiments, demonstra...
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