@misc{10481/88996,
year = {2015},
month = {10},
url = {https://hdl.handle.net/10481/88996},
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 present the integration of
nonlinear ultrasonics with the Bayesian inverse problem as an appropriate tool to estimate the updated
health state of a component taking into account the associated uncertainties. This updated information
can be further used by prognostics algorithms to estimate the future damage stages. Nonlinear ultrasonics
allows an early detection of damage moving forward the achievement of reliable predictions, while
the inverse problem emerges as a rigorous method to extract the slight signature of early damage inside
the experimental signals using theoretical models. The Bayesian version of the inverse problem allows
measuring the underlying uncertainties, improving the prediction process. This chapter presents the
fundamentals of nonlinear ultrasonics, their practical application for SHM, and the Bayesian inverse
problem as a method to unveil damage and manage uncertainty.},
organization = {Laboratorio de Evaluación No Destructiva. Dpto. Mecánica de Estructuras e Ingeniería Hidráulica. Universidad de Granada},
publisher = {IGI Global},
title = {Nonlinear Ultrasonics for Early Damage Detection},
doi = {10.4018/978-1-4666-8490-4.ch009},
author = {Muñoz Beltrán, Rafael and Rus Carlborg, Guillermo and Bochud, Nicolás and Barnard, Daniel J. and Melchor Rodríguez, Juan Manuel and Chiachío Ruano, Juan and Chiachío Ruano, Manuel and Cantero Chinchilla, Sergio and Callejas Zafra, Antonio Manuel and Peralta, Laura and Bond, Leonard J.},
}