國立高雄大學圖資館 |

登入

回首頁

Model order reduction for design, analysis and control of nonlinear vibratory systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Model order reduction for design, analysis and control of nonlinear vibratory systemsedited by Cyril Touzé, Attilio Frangi.
其他作者:	Touzé, Cyril.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	ix, 298 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Dimension reduction (Statistics)
電子資源:	https://doi.org/10.1007/978-3-031-67499-0
ISBN:	9783031674990$q(electronic bk.)

Model order reduction for design, analysis and control of nonlinear vibratory systems
Model order reduction for design, analysis and control of nonlinear vibratory systems[electronic resource] /edited by Cyril Touzé, Attilio Frangi. - Cham :Springer Nature Switzerland :2025. - ix, 298 p. :ill. (some col.), digital ;24 cm. - CISM International Centre for Mechanical Sciences, Courses and lectures,v. 6142309-3706 ;. - Courses and lectures ;no. 388 .

Modelling, Reductionism and the Implications for Digital Twins -- Nonlinear normal modes as invariant manifolds for model order reduction -- The Direct Parametrization of Invariant Manifolds applied to model order reduction of microstructures -- Understanding, computing and identifying the nonlinear dynamics of elastic and piezoelectric structures thanks to nonlinear modes.

The book presents reduction methods that are using tools from dynamical systems theory in order to provide accurate models for nonlinear dynamical solutions occurring in mechanical systems featuring either smooth or non smooth nonlinearities. The cornerstone of the chapters is the use of methods defined in the framework of the invariant manifold theory for nonlinear systems, which allows definitions of efficient methods generating the most parsimonious nonlinear models having minimal dimension, and reproducing the dynamics of the full system under generic assumptions. Emphasis is put on the development of direct computational methods for finite element structures. Once the reduced order model obtained, numerical and analytical methods are detailed in order to get a complete picture of the dynamical solutions of the system in terms of stability and bifurcation. Applications from the MEMS and aerospace industry are covered and analyzed. Geometric nonlinearity, friction nonlinearity and contacts in jointed structures, detection and use of internal resonance, electromechanical and piezoelectric coupling with passive control, parametric driving are surveyed as key applications. The connection to digital twins is reviewed in a general manner, opening the door to the efficient use of invariant manifold theory for nonlinear analysis, design and control of engineering structures.

ISBN: 9783031674990$q(electronic bk.)

Standard No.: 10.1007/978-3-031-67499-0doiSubjects--Topical Terms:

592293
Dimension reduction (Statistics)

LC Class. No.: TA347.D5

Dewey Class. No.: 621.015308

Model order reduction for design, analysis and control of nonlinear vibratory systems
LDR:02909nmm a2200337 a 4500 001 678933
003 DE-He213
005 20241016125722.0
006 m d
007 cr nn 008maaau
008 251031s2025 sz s 0 eng d
020 $a 9783031674990$q(electronic bk.)
020 $a 9783031674983$q(paper)
024 7 $a 10.1007/978-3-031-67499-0 $2 doi
035 $a 978-3-031-67499-0
040 $a GP $c GP
041 0 $a eng
050 4 $a TA347.D5
072 7 $a TGMD4 $2 bicssc
072 7 $a TEC009070 $2 bisacsh
072 7 $a TGMD $2 thema
082 0 4 $a 621.015308 $2 23
090 $a TA347.D5 $b M689 2025
245 0 0 $a Model order reduction for design, analysis and control of nonlinear vibratory systems $h [electronic resource] / $c edited by Cyril Touzé, Attilio Frangi.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a ix, 298 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a CISM International Centre for Mechanical Sciences, Courses and lectures, $x 2309-3706 ; $v v. 614
505 0 $a Modelling, Reductionism and the Implications for Digital Twins -- Nonlinear normal modes as invariant manifolds for model order reduction -- The Direct Parametrization of Invariant Manifolds applied to model order reduction of microstructures -- Understanding, computing and identifying the nonlinear dynamics of elastic and piezoelectric structures thanks to nonlinear modes.
520 $a The book presents reduction methods that are using tools from dynamical systems theory in order to provide accurate models for nonlinear dynamical solutions occurring in mechanical systems featuring either smooth or non smooth nonlinearities. The cornerstone of the chapters is the use of methods defined in the framework of the invariant manifold theory for nonlinear systems, which allows definitions of efficient methods generating the most parsimonious nonlinear models having minimal dimension, and reproducing the dynamics of the full system under generic assumptions. Emphasis is put on the development of direct computational methods for finite element structures. Once the reduced order model obtained, numerical and analytical methods are detailed in order to get a complete picture of the dynamical solutions of the system in terms of stability and bifurcation. Applications from the MEMS and aerospace industry are covered and analyzed. Geometric nonlinearity, friction nonlinearity and contacts in jointed structures, detection and use of internal resonance, electromechanical and piezoelectric coupling with passive control, parametric driving are surveyed as key applications. The connection to digital twins is reviewed in a general manner, opening the door to the efficient use of invariant manifold theory for nonlinear analysis, design and control of engineering structures.
650 0 $a Dimension reduction (Statistics) $3 592293
650 0 $a Nonlinear mechanics. $3 190487
650 0 $a Vibration $x Mathematical models. $3 210302
650 1 4 $a Multibody Systems and Mechanical Vibrations. $3 922041
650 2 4 $a Microsystems and MEMS. $3 913236
650 2 4 $a Structural Materials. $3 274623
700 1 $a Touzé, Cyril. $3 992102
700 1 $a Frangi, Attilio. $3 575810
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Courses and lectures ; $v no. 388 $3 447373
856 4 0 $u https://doi.org/10.1007/978-3-031-67499-0
950 $a Engineering (SpringerNature-11647)