Nonlinear ultrasonics for early damage detection


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.

Año de publicación:

2015

Keywords:

    Fuente:

    scopusscopus

    Tipo de documento:

    Book Part

    Estado:

    Acceso restringido

    Áreas de conocimiento:

    • Sistema no lineal
    • Acústica

    Áreas temáticas de Dewey:

    • Ingeniería y operaciones afines
    Procesado con IAProcesado con IA

    Objetivos de Desarrollo Sostenible:

    • ODS 9: Industria, innovación e infraestructura
    • ODS 12: Producción y consumo responsables
    • ODS 8: Trabajo decente y crecimiento económico
    Procesado con IAProcesado con IA