Identification Methods for Structural Health Monitoring

The papers in this volume provide an introduction to well known and established system identification methods for structural health monitoring and to more advanced, state-of-the-art tools, able to tackle the challenges associated with actual implementation. Starting with an overview on fundamental m...

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Detalles Bibliográficos
Autor Corporativo: SpringerLink (-)
Otros Autores: Chatzi, Eleni (-), Papadimitriou, Costas
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham : Springer International Publishing 2016.
Colección:CISM International Centre for Mechanical Sciences, Courses and Lectures ; 567.
Springer eBooks.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b33470546*spi
Tabla de Contenidos:
  • Introduction
  • Parametric and non parametric identification methods: an overview
  • Parametric methods for the treatment of nonlinear dynamics
  • Bayesian parameter estimation
  • Bayesian operational modal analysis
  • Bayesian uncertainty quantification and propagation (UQ+P): state-of-the-art tools for linear and nonlinear structural dynamics models
  • Efficient data fusion and practical considerations for structural identification
  • Implementation of identification methodologies on large scale structures.