0
Your cart

Your cart is empty

Browse All Departments
  • All Departments
Price
  • R2,500 - R5,000 (2)
  • -
Status
Brand

Showing 1 - 2 of 2 matches in All Departments

Multidisciplinary Design Optimization and Its Application in Deep Manned Submersible Design (Hardcover, 1st ed. 2020): Binbin... Multidisciplinary Design Optimization and Its Application in Deep Manned Submersible Design (Hardcover, 1st ed. 2020)
Binbin Pan, Wei-Cheng Cui
R4,480 Discovery Miles 44 800 Ships in 12 - 17 working days

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.

Multidisciplinary Design Optimization and Its Application in Deep Manned Submersible Design (Paperback, 1st ed. 2020): Binbin... Multidisciplinary Design Optimization and Its Application in Deep Manned Submersible Design (Paperback, 1st ed. 2020)
Binbin Pan, Wei-Cheng Cui
R4,697 Discovery Miles 46 970 Ships in 10 - 15 working days

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.

Free Delivery
Pinterest Twitter Facebook Google+
You may like...
Hask Argan Oil Argan Oil Intense Deep…
R90 Discovery Miles 900
Cricut 13 Inch Essential Tool Set (7…
R1,729 R749 Discovery Miles 7 490
Zap! Polymer Clay Jewellery
Kit R250 R195 Discovery Miles 1 950
John C. Maxwell Undated Planner
Paperback R469 R315 Discovery Miles 3 150
Mellerware Swiss - Plastic Floor Fan…
 (1)
R349 Discovery Miles 3 490
Armageddon Time
Anne Hathaway, Jeremy Strong, … DVD R133 Discovery Miles 1 330
Deadpool 2 - Super Duper Cut
Ryan Reynolds Blu-ray disc R52 Discovery Miles 520
1 Litre Unicorn Waterbottle
R99 R70 Discovery Miles 700
Speak Now - Taylor's Version
Taylor Swift CD R500 Discovery Miles 5 000
Ultra Link UL-HPBT01 Gravity Bluetooth…
 (4)
R499 R419 Discovery Miles 4 190

 

Partners