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001 9781003464792
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006 m o d
007 cr |n|||||||||
008 240710s2024 xx o 0|| 0 eng d
040 _aOCoLC-P
_beng
_cOCoLC-P
020 _a9781040113516
_q(electronic bk.)
020 _a1040113516
_q(electronic bk.)
020 _a9781003464792
_q(electronic bk.)
020 _a1003464793
_q(electronic bk.)
020 _a9781040113530
_q(electronic bk. : EPUB)
020 _a1040113532
_q(electronic bk. : EPUB)
020 _z1032735619
020 _z9781032735610
024 7 _a10.1201/9781003464792
_2doi
035 _a(OCoLC)1444149589
035 _a(OCoLC-P)1444149589
050 4 _aTA633
072 7 _aTEC
_x009070
_2bisacsh
072 7 _aTEC
_x063000
_2bisacsh
072 7 _aTG
_2bicssc
100 1 _aMeng, Debiao.
_994866
245 1 0 _aMULTIDISCIPLINARY DESIGN OPTIMIZATION OF COMPLEX STRUCTURES UNDER UNCERTAINTY
_h[electronic resource].
260 _a[S.l.] :
_bCRC PRESS,
_c2024.
300 _a1 online resource
520 _aIn the realm of engineering structures design, the inevitability of uncertainties poses a significant challenge. Uncertainty-Based Multidisciplinary Design and Optimization (UBMDO) stands out for its dual ability to precisely quantify the impact of uncertain variables and harness the potential of multidisciplinary design and optimization, thereby attracting considerable attention. From basic theory to advanced applications, this book helps readers achieve more efficient and reliable design optimization in complex systems through rich case studies and practical technical guidance. The book systematically expounds the fundamental theories and methods of UBMDO, encompassing crucial techniques such as uncertainty modeling, sensitivity analysis, approximate modeling, and uncertainty-based optimization. It also introduces various uncertainty analysis methods, such as stochastic, non-probabilistic, and hybrid approaches, aiding readers in comprehending and managing uncertainty within systems. Through diverse practical engineering cases in fields like machinery, aerospace, and energy, it illustrates the specific application and implementation process of the UBMDO method. Rich graphics, algorithms, and simulation results augment the practicality and applicability of the theoretical knowledge. Furthermore, it explores in depth the future development trends and challenges of UBMDO, sparking innovative thinking and research interests among readers in this field. Multidisciplinary Design Optimization of Complex Structures Under Uncertainty caters to a diverse audience: Engineers specializing in multidisciplinary design optimization are given the tools to master uncertainty management, and researchers in related fields will gain important theoretical insights and practical guidance in uncertainty analysis. Additionally, scholars and educators can utilize the book as a comprehensive resource for advanced courses, enabling students to grasp the latest UBMDO applications. Decision makers and managers handling complex systems can extract methods from the book, facilitating improved risk assessment, and strategic development through uncertainty-based optimization.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aStructural engineering.
_964492
650 7 _aTECHNOLOGY / Engineering / Mechanical
_2bisacsh
_958322
700 1 _aZhu, Shun-peng.
_994867
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003464792
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _cE-Books
999 _c67911
_d67911