Stochastic Models of Uncertainties in Computational Mechanics (inbunden)
Fler böcker inom
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
120
Utgivningsdatum
2013-01-30
Förlag
American Society of Civil Engineers
Dimensioner
222 x 152 x 6 mm
Vikt
204 g
ISBN
9780784412237

Stochastic Models of Uncertainties in Computational Mechanics

av Christian Soize
Häftad,  Engelska, 2013-01-30
756
Bevaka
Spara som favorit
Tillfälligt slut – klicka "Bevaka" för att få ett mejl så fort boken går att köpa igen.
Stochastic Models of Uncertainties in Computational Mechanics presents the main concepts, formulations, and recent advances in the use of a mathematical-mechanical modelling process to predict the responses of a real structural system in its environment. Computational models are subject to two types of uncertainties-variabilities in the real system and uncertainties in the model itself-so, to be effective, these models must support robust optimization, design, and updating. A probabilistic approach to uncertainties is the most powerful, efficient, and effective tool for computational modeling. Chapters describe the methodology, construction, and estimation for using parametric, nonparametric, and generalised probabilistic approaches to the uncertainties in computational structural dynamics. Other chapters demonstrate the nonparametric probabilistic approach in the context of linear and nonlinear structural dynamics and in structural acoustics and vibration. A new methodology adapted to partial and limited experimental data is presented to identify random coefficients in high-dimension polynomial chaos expansions. This compact guide to probabilistic approaches in computational modelling will be of interest to those working in computational sciences, especially structural engineers, who are developing and applying stochastic models of uncertainties to predict real-world structural systems.
Visa hela texten

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av Christian Soize

Du kanske gillar