Item type | Current location | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|
Books | 620.0015192 SOI (Browse shelf) | Available | 032172 |
620.001518 KIU Numerical methods in engineering with Python | 620.001518 KIU Numerical methods in engineering with MATLAB | 620.00151825 ALA Finite element simulations using ANSYS | 620.0015192 SOI Uncertainty quantification : an accelerated course with advanced applications in computational engineering | 620.0015194 MOI Fundamentals of engineering numerical analysis | 620.0015195 EDW Processing random data : statistics for engineers and scientists | 620.0015195 VAR Basic engineering data collection and analysis |
Includes bibliographical references and index.
This book presents the fundamental notions and advanced mathematical tools in the stochastic modeling of uncertainties and their quantification for large-scale computational models in sciences and engineering. In particular, it focuses in parametric uncertainties, and non-parametric uncertainties with applications from the structural dynamics and vibroacoustics of complex mechanical systems, from micromechanics and multiscale mechanics of heterogeneous materials. Resulting from a course developed by the author, the book begins with a description of the fundamental mathematical tools of probability and statistics that are directly useful for uncertainty quantification. It proceeds with a well carried out description of some basic and advanced methods for constructing stochastic models of uncertainties, paying particular attention to the problem of calibrating and identifying a stochastic model of uncertainty when experimental data is available.
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