東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Submersibles- Design." ]

切換: 標籤 | MARC模式 | ISBD

Multidisciplinary design optimizatio...

Pan, Binbin.

FindBook

Google Book

Amazon

博客來

Multidisciplinary design optimization and its application in deep manned submersible design

紀錄類型:	書目-電子資源 : 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.
出版者:	Singapore :Springer Singapore : : 2020.,
面頁冊數:	xiv, 292 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Submersibles - Design. -
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. - Singapore :Springer Singapore :2020. - xiv, 292 p. :ill., digital ;24 cm. - Ocean engineering & oceanography,v.132194-6396 ;. - Ocean engineering & oceanography ;v.13..

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:

3526049
Submersibles
--Design.

LC Class. No.: VM453

Dewey Class. No.: 627.98

Multidisciplinary design optimization and its application in deep manned submersible design
LDR:02605nmm a2200337 a 4500 001 2256055
003 DE-He213
005 20201228145917.0
006 m d
007 cr nn 008maaau
008 220420s2020 si s 0 eng d
020 $a 9789811564550 $q (electronic bk.)
020 $a 9789811564543 $q (paper)
024 7 $a 10.1007/978-981-15-6455-0 $2 doi
035 $a 978-981-15-6455-0
040 $a GP $c GP
041 0 $a eng
050 4 $a VM453
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
090 $a VM453 $b .P187 2020
100 1 $a Pan, Binbin. $3 3526047
245 1 0 $a Multidisciplinary design optimization and its application in deep manned submersible design $h [electronic resource] / $c by Binbin Pan, Weicheng Cui.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a xiv, 292 p. : $b ill., digital ; $c 24 cm.
490 1 $a Ocean engineering & oceanography, $x 2194-6396 ; $v 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 0 $a Submersibles $x Design. $3 3526049
650 0 $a Reliability (Engineering) $3 647853
650 0 $a Ocean engineering. $3 660731
650 0 $a Mathematical optimization. $3 517763
650 1 4 $a Offshore Engineering. $3 896759
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 1005896
650 2 4 $a Optimization. $3 891104
650 2 4 $a Oceanography. $3 535383
650 2 4 $a Quality Control, Reliability, Safety and Risk. $3 891027
700 1 $a Cui, Weicheng. $3 2111619
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Ocean engineering & oceanography ; $v v.13. $3 3526048
856 4 0 $u https://doi.org/10.1007/978-981-15-6455-0
950 $a Mathematics and Statistics (SpringerNature-11649)