Investigations of different likelihood functions for the use in Bayesian model updating in structural applications

2024/01/01 by Niklas Dierksen, Benedikt Hofmeister, Dierksen, Niklas +5
Engineering · Computer Science · #Structural Health Monitoring Techniques #Gaussian Processes and Bayesian Inference #Machine Fault Diagnosis Techniques

paper · doi:10.15488/20273

Abstract

Model updating is a popular tool for damage localisation and quantification in structural monitoring of buildings, infrastructure and wind turbines. In general, model updating relies on information about damage sensitive features, most often natural frequ

Related

• Sequential Bayesian updating of local LPV models for structural damage detection under changing environment
• Uncertainty propagation via sample-based deterministic model updating for structural damage identification
• An effective approach based on reliability methods for high-dimensional Bayesian model updating of dynamical nonlinear structures
• Enhancing Bayesian model updating in structural health monitoring via learnable mappings
• Curse of Dimensionality in Bayesian Model Updating