Papadopoulos, Vissarion.
Stochastic Finite Element Methods An Introduction / [electronic resource] : - 1st ed. 2018. - XXI, 138 p. 53 illus., 26 illus. in color. | Binding - Card Paper | - Mathematical Engineering, 2192-4732 . - Mathematical Engineering, .
The book provides a self-contained treatment of stochastic finite element methods. It helps the reader to establish a solid background on stochastic and reliability analysis of structural systems and enables practicing engineers to better manage the concepts of analysis and design in the presence of uncertainty. The book covers the basic topics of computational stochastic mechanics focusing on the stochastic analysis of structural systems in the framework of the finite element method. The target audience primarily comprises students in a postgraduate program specializing in structural engineering but the book may also be beneficial to practicing engineers and research experts alike.
9783319645285
Mechanical Engineering
Probability Theory and Stochastic Processes. Mathematical and Computational Engineering. Simulation and Modeling.
531
Stochastic Finite Element Methods An Introduction / [electronic resource] : - 1st ed. 2018. - XXI, 138 p. 53 illus., 26 illus. in color. | Binding - Card Paper | - Mathematical Engineering, 2192-4732 . - Mathematical Engineering, .
The book provides a self-contained treatment of stochastic finite element methods. It helps the reader to establish a solid background on stochastic and reliability analysis of structural systems and enables practicing engineers to better manage the concepts of analysis and design in the presence of uncertainty. The book covers the basic topics of computational stochastic mechanics focusing on the stochastic analysis of structural systems in the framework of the finite element method. The target audience primarily comprises students in a postgraduate program specializing in structural engineering but the book may also be beneficial to practicing engineers and research experts alike.
9783319645285
Mechanical Engineering
Probability Theory and Stochastic Processes. Mathematical and Computational Engineering. Simulation and Modeling.
531