Methodology for updating nonlinear structural models through experimental data acquisition

Nonlinear numerical models are considered to be more accurate because they furnish a realistic representation of the structure under analysis. Moreover, it is known that different uncertainty sources should be considered when evaluating structure behaviour. Therefore, probabilistic based models, whi...

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Bibliographic Details
Main Author: Matos, José C. (author)
Other Authors: Valente, Isabel (author), Cruz, Paulo J. S. (author), Neves, Luís Canhoto (author)
Format: conferencePaper
Language:eng
Published: 2013
Subjects:
Nonlinear behaviour
Probabilistic model
Bayesian inference
Experimental data
Model updating
Online Access:http://hdl.handle.net/1822/24534
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/24534

Internet

http://hdl.handle.net/1822/24534

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