LEADER 04438nam 22006615 450 001 9910366600403321 005 20200701201830.0 010 $a3-030-25532-8 024 7 $a10.1007/978-3-030-25532-9 035 $a(CKB)4100000008870316 035 $a(MiAaPQ)EBC5845506 035 $a(DE-He213)978-3-030-25532-9 035 $a(EXLCZ)994100000008870316 100 $a20190801d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSubstructuring in Engineering Dynamics $eEmerging Numerical and Experimental Techniques /$fby Matthew S. Allen, Daniel Rixen, Maarten van der Seijs, Paolo Tiso, Thomas Abrahamsson, Randall L. Mayes 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (284 pages) 225 1 $aCISM International Centre for Mechanical Sciences, Courses and Lectures,$x0254-1971 ;$v594 311 $a3-030-25531-X 327 $aIntroduction and motivation -- Preliminaries: primal and dual assembly of dynamic models -- Model reduction concepts and subsctructuring approaches for linear systems -- Experimental substructuring -- Industrial applications related concepts -- Model reduction concepts and substructuring approaches for non-linear systems -- Weakly nonlinear systems: modeling and experimental methods -- References. 330 $aDynamic Substructuring is a method that combines models for the various parts of a structure to estimate the dynamic response or other properties of the assembled structure. The substructure models may be analytical models such as finite element models, or they may be derived from measurements. This book reviews the most common state-of-the art methods for substructuring and model reduction and presents a framework that encompasses most method, highlighting their similarities and differences. For example, popular methods such as Component Mode Synthesis, Hurty/Craig-Bampton, and the Rubin methods, which are popular within finite element software, are reviewed. Similarly, experimental-to-analytical substructuring methods such as impedance/frequency response based substructuring, modal substructuring and the transmission simulator method are presented. The overarching mathematical concepts are reviewed, as well as practical details needed to implement the methods. Various examples are presented to elucidate the methods, ranging from academic examples such as spring-mass systems, which serve to clarify the concepts, to real industrial case studies involving automotive and aerospace structures. The wealth of examples presented reveal both the potential and limitations of the methods. 410 0$aCISM International Centre for Mechanical Sciences, Courses and Lectures,$x0254-1971 ;$v594 606 $aVibration 606 $aDynamical systems 606 $aDynamics 606 $aMechanics 606 $aMechanics, Applied 606 $aComputer mathematics 606 $aVibration, Dynamical Systems, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/T15036 606 $aSolid Mechanics$3https://scigraph.springernature.com/ontologies/product-market-codes/T15010 606 $aComputational Science and Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/M14026 615 0$aVibration. 615 0$aDynamical systems. 615 0$aDynamics. 615 0$aMechanics. 615 0$aMechanics, Applied. 615 0$aComputer mathematics. 615 14$aVibration, Dynamical Systems, Control. 615 24$aSolid Mechanics. 615 24$aComputational Science and Engineering. 676 $a624.171 676 $a620.104015118 700 $aAllen$b Matthew S$4aut$4http://id.loc.gov/vocabulary/relators/aut$0972175 702 $aRixen$b Daniel$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $avan der Seijs$b Maarten$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aTiso$b Paolo$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aAbrahamsson$b Thomas$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aMayes$b Randall L$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910366600403321 996 $aSubstructuring in Engineering Dynamics$92210333 997 $aUNINA