A tutorial on Bayesian inference to identify material parameters in solid mechanics

H Rappel, LAA Beex, JS Hale, L Noels… - … Methods in Engineering, 2020 - Springer
The aim of this contribution is to explain in a straightforward manner how Bayesian inference
can be used to identify material parameters of material models for solids. Bayesian …

In-situ fatigue damage analysis and prognostics of composite structures based on health monitoring data

D Zarouchas, N Eleftheroglou - Fatigue Life Prediction of Composites and …, 2020 - Elsevier
This chapter presents a data-driven probabilistic framework for the in-situ prognostics of
composite structures subjected to fatigue loading. The framework deals with the real-time …

Fatigue damage diagnostics and prognostics of composites using artificial intelligence methods for experimental data

SU Dabetwar - 2020 - ttu-ir.tdl.org
Composites are complex materials that primarily undergo two failure modes, delamination
and matrix cracks. These failure modes are interdependent and due to the complex structure …

Nonlinear ultrasonics for early damage detection

R Munoz, G Rus, N Bochud, DJ Barnard… - Virtual and Mobile …, 2020 - igi-global.com
Abstract Structural Health Monitoring (SHM) is an emerging discipline that aims at improving
the management of the life cycle of industrial components. The scope of this chapter is to …