國立虎尾科技大學 |

Multidisciplinary Design Optimization and Its Application in Deep Manned Submersible Design

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Multidisciplinary Design Optimization and Its Application in Deep Manned Submersible Design/ by Binbin Pan, Weicheng Cui.
作者:	Pan, Binbin.
其他作者:	Cui, Weicheng.
面頁冊數:	XIV, 292 p. 98 illus., 47 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Quality Control, Reliability, Safety and Risk. -
電子資源:	https://doi.org/10.1007/978-981-15-6455-0
ISBN:	9789811564550

Multidisciplinary Design Optimization and Its Application in Deep Manned Submersible Design
Pan, Binbin.

Multidisciplinary Design Optimization and Its Application in Deep Manned Submersible Design[electronic resource] /by Binbin Pan, Weicheng Cui. - 1st ed. 2020. - XIV, 292 p. 98 illus., 47 illus. in color.online resource. - Ocean Engineering & Oceanography,132194-6396 ;. - Ocean Engineering & Oceanography,5.

Introduction -- Theory of Multidisciplinary Design Optimization,- Theory of Uncertainty -- Reliability and Its Analysis -- Multidisciplinary Design Optimization Based on Reliability -- Design of Deep Manned Submersible -- Application of Multidisciplinary Design Optimization in DMS. .

This book investigates Reliability-based Multidisciplinary Design Optimization (RBMDO) theory and its application in the design of deep manned submersibles (DMSs). Multidisciplinary Design Optimization (MDO) is an effective design method for large engineering systems like aircraft, warships, and satellites, which require designers and engineers from various disciplines to cooperate with each other. MDO can be used to handle the conflicts that arise between these disciplines, and focuses on the optimal design of the system as a whole. However, it can also push designs to the brink of failure. In order to keep the system balanced, Reliability-based Design (RBD) must be incorporated into MDO. Consequently, new algorithms and methods have to be developed for RBMDO theory. This book provides an essential overview of MDO, RBD, and RBMDO and subsequently introduces key algorithms and methods by means of case analyses. In closing, it introduces readers to the design of DMSs and applies RBMDO methods to the design of the manned hull and the general concept design. The book is intended for all students and researchers who are interested in system design theory, and for engineers working on large, complex engineering systems.

ISBN: 9789811564550

Standard No.: 10.1007/978-981-15-6455-0doiSubjects--Topical Terms:

671184
Quality Control, Reliability, Safety and Risk.

LC Class. No.: TC1501-1800

Dewey Class. No.: 627.98

Multidisciplinary Design Optimization and Its Application in Deep Manned Submersible Design
LDR:03016nam a22004215i 4500 001 1025364
003 DE-He213
005 20200828222417.0
007 cr nn 008mamaa
008 210318s2020 si | s |||| 0|eng d
020 $a 9789811564550 $9 978-981-15-6455-0
024 7 $a 10.1007/978-981-15-6455-0 $2 doi
035 $a 978-981-15-6455-0
050 4 $a TC1501-1800
050 4 $a TK7882.S65
072 7 $a TTSH $2 bicssc
072 7 $a TEC009020 $2 bisacsh
072 7 $a TTS $2 thema
082 0 4 $a 627.98 $2 23
100 1 $a Pan, Binbin. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1321628
245 1 0 $a Multidisciplinary Design Optimization and Its Application in Deep Manned Submersible Design $h [electronic resource] / $c by Binbin Pan, Weicheng Cui.
250 $a 1st ed. 2020.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a XIV, 292 p. 98 illus., 47 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Ocean Engineering & Oceanography, $x 2194-6396 ; $v 13
505 0 $a Introduction -- Theory of Multidisciplinary Design Optimization,- Theory of Uncertainty -- Reliability and Its Analysis -- Multidisciplinary Design Optimization Based on Reliability -- Design of Deep Manned Submersible -- Application of Multidisciplinary Design Optimization in DMS. .
520 $a This book investigates Reliability-based Multidisciplinary Design Optimization (RBMDO) theory and its application in the design of deep manned submersibles (DMSs). Multidisciplinary Design Optimization (MDO) is an effective design method for large engineering systems like aircraft, warships, and satellites, which require designers and engineers from various disciplines to cooperate with each other. MDO can be used to handle the conflicts that arise between these disciplines, and focuses on the optimal design of the system as a whole. However, it can also push designs to the brink of failure. In order to keep the system balanced, Reliability-based Design (RBD) must be incorporated into MDO. Consequently, new algorithms and methods have to be developed for RBMDO theory. This book provides an essential overview of MDO, RBD, and RBMDO and subsequently introduces key algorithms and methods by means of case analyses. In closing, it introduces readers to the design of DMSs and applies RBMDO methods to the design of the manned hull and the general concept design. The book is intended for all students and researchers who are interested in system design theory, and for engineers working on large, complex engineering systems.
650 2 4 $a Quality Control, Reliability, Safety and Risk. $3 671184
650 2 4 $a Optimization. $3 669174
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 782247
650 1 4 $a Offshore Engineering. $3 671233
650 0 $a Industrial safety. $3 568114
650 0 $a Reliability. $3 573603
650 0 $a Quality control. $3 573723
650 0 $a Oceanography. $3 654897
650 0 $a Mathematical optimization. $3 527675
650 0 $a Statistics . $3 1253516
650 0 $a Ocean engineering. $3 857658
700 1 $a Cui, Weicheng. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1321629
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811564543
776 0 8 $i Printed edition: $z 9789811564567
776 0 8 $i Printed edition: $z 9789811564574
830 0 $a Ocean Engineering & Oceanography, $x 2194-6396 ; $v 5 $3 1253940
856 4 0 $u https://doi.org/10.1007/978-981-15-6455-0
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)