Sub-structure Coupling for Dynamic Analysis (Record no. 76936)

000 -LEADER
fixed length control field 04113nam a22005655i 4500
001 - CONTROL NUMBER
control field 978-3-030-12819-7
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801214940.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190326s2019 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030128197
-- 978-3-030-12819-7
082 04 - CLASSIFICATION NUMBER
Call Number 620.105
100 1# - AUTHOR NAME
Author Jensen, Hector.
245 10 - TITLE STATEMENT
Title Sub-structure Coupling for Dynamic Analysis
Sub Title Application to Complex Simulation-Based Problems Involving Uncertainty /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2019.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIII, 227 p. 106 illus., 47 illus. in color.
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Applied and Computational Mechanics,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Model Reduction Techniques for Structural Dynamic Analyses -- Parametrization of Reduced-Order Models Based on Normal Modes -- Parametrization of Reduced-Order Models Based on Global Interface Reduction -- Reliability Analysis of Dynamical Systems -- Reliability Sensitivity Analysis of Dynamical Systems -- Reliability-Based Design Optimization -- Bayesian Finite Element Model Updating.
520 ## - SUMMARY, ETC.
Summary, etc This book combines a model reduction technique with an efficient parametrization scheme for the purpose of solving a class of complex and computationally expensive simulation-based problems involving finite element models. These problems, which have a wide range of important applications in several engineering fields, include reliability analysis, structural dynamic simulation, sensitivity analysis, reliability-based design optimization, Bayesian model validation, uncertainty quantification and propagation, etc. The solution of this type of problems requires a large number of dynamic re-analyses. To cope with this difficulty, a model reduction technique known as substructure coupling for dynamic analysis is considered. While the use of reduced order models alleviates part of the computational effort, their repetitive generation during the simulation processes can be computational expensive due to the substantial computational overhead that arises at the substructure level. In this regard, an efficient finite element model parametrization scheme is considered. When the division of the structural model is guided by such a parametrization scheme, the generation of a small number of reduced order models is sufficient to run the large number of dynamic re-analyses. Thus, a drastic reduction in computational effort is achieved without compromising the accuracy of the results. The capabilities of the developed procedures are demonstrated in a number of simulation-based problems involving uncertainty.
700 1# - AUTHOR 2
Author 2 Papadimitriou, Costas.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-030-12819-7
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2019.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
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-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mechanics, Applied.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Solids.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematics—Data processing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Probabilities.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Solid Mechanics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Science and Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Probability Theory.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1860-0816 ;
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-- ZDB-2-ENG
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-- ZDB-2-SXE

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