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Chapter and Conference Paper
Probabilistic Model Updating for Structural Health Monitoring Using a Likelihood-Free Bayesian Inference Method
Bayesian inference has received considerable attention and is an accredited framework in structural health monitoring (SHM) to evaluate structural integrity. In Bayesian inference, structural parameters are es...
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Chapter and Conference Paper
Model-Based Inspection Planning for Large-Scale Structures Using Unmanned Aerial Vehicles
This chapter proposes a model-based inspection planning framework for damage diagnostics and maintenance optimization of large-scale deteriorating structures. An objective function is constructed using the def...
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Article
Machine learning enabled fusion of CAE data and test data for vehicle crashworthiness performance evaluation by analysis
Evaluation and potential certification by analysis (CBA) has emerged as a promising tool to reduce costly crashworthiness tests of prototype, by using physics-based simulation and analysis. One of the major ob...
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Article
Correction to: Automation in Bayesian operational modal analysis using clustering‑based interpretation of stabilization diagram
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Article
Probabilistic damage detection using a new likelihood-free Bayesian inference method
Bayesian inference plays a vital role in Structural Health Monitoring (SHM) by assessing structural integrity through probabilistic model updating using monitoring data. A crucial component in Bayesian inferen...
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Article
Automation in Bayesian operational modal analysis using clustering-based interpretation of stabilization diagram
Long-term structural health monitoring (SHM) requires processing a large amount of data with human intervention often involved. Operational modal analysis (OMA) is generally treated as prerequisite for vibrati...
