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Multidisciplinary Design Optimization And Its Application In Deep Manned Submersible Design


Multidisciplinary Design Optimization And Its Application In Deep Manned Submersible Design
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Multidisciplinary Design Optimization And Its Application In Deep Manned Submersible Design


Multidisciplinary Design Optimization And Its Application In Deep Manned Submersible Design
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Author : Binbin Pan
language : en
Publisher: Springer Nature
Release Date : 2020-08-28

Multidisciplinary Design Optimization And Its Application In Deep Manned Submersible Design written by Binbin Pan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-28 with Technology & Engineering categories.


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


Multidisciplinary Design Optimization
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Author : Natalia M. Alexandrov
language : en
Publisher: SIAM
Release Date : 1997-01-01

Multidisciplinary Design Optimization written by Natalia M. Alexandrov and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-01-01 with Design categories.


Multidisciplinary design optimization (MDO) has recently emerged as a field of research and practice that brings together many previously disjointed disciplines and tools of engineering and mathematics. MDO can be described as a technology, environment, or methodology for the design of complex, coupled engineering systems, such as aircraft, automobiles, and other mechanisms, the behavior of which is determined by interacting subsystems.



Multidisciplinary Design Optimization An Emerging New Engineering Discipline


Multidisciplinary Design Optimization An Emerging New Engineering Discipline
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Author :
language : en
Publisher:
Release Date : 1993

Multidisciplinary Design Optimization An Emerging New Engineering Discipline written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with categories.




Design Optimization


Design Optimization
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Author : John S. Gero
language : en
Publisher:
Release Date : 1985

Design Optimization written by John S. Gero and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Technology & Engineering categories.




Multidisciplinary Design Optimization Supported By Knowledge Based Engineering


Multidisciplinary Design Optimization Supported By Knowledge Based Engineering
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Author : Jaroslaw Sobieszczanski-Sobieski
language : en
Publisher: John Wiley & Sons
Release Date : 2015-11-06

Multidisciplinary Design Optimization Supported By Knowledge Based Engineering written by Jaroslaw Sobieszczanski-Sobieski and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-06 with Technology & Engineering categories.


Multidisciplinary Design Optimization supported by Knowledge Based Engineering supports engineers confronting this daunting and new design paradigm. It describes methodology for conducting a system design in a systematic and rigorous manner that supports human creativity to optimize the design objective(s) subject to constraints and uncertainties. The material presented builds on decades of experience in Multidisciplinary Design Optimization (MDO) methods, progress in concurrent computing, and Knowledge Based Engineering (KBE) tools. Key features: Comprehensively covers MDO and is the only book to directly link this with KBE methods Provides a pathway through basic optimization methods to MDO methods Directly links design optimization methods to the massively concurrent computing technology Emphasizes real world engineering design practice in the application of optimization methods Multidisciplinary Design Optimization supported by Knowledge Based Engineering is a one-stop-shop guide to the state-of-the-art tools in the MDO and KBE disciplines for systems design engineers and managers. Graduate or post-graduate students can use it to support their design courses, and researchers or developers of computer-aided design methods will find it useful as a wide-ranging reference.



Advances In Design Optimization


Advances In Design Optimization
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Author : H. Adeli
language : en
Publisher: CRC Press
Release Date : 2002-09-11

Advances In Design Optimization written by H. Adeli and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-09-11 with Architecture categories.


This book summarizes advances in a number of fundamental areas of optimization with application in engineering design. The selection of the 'best' or 'optimum' design has long been a major concern of designers and in recent years interest has grown in applying mathematical optimization techniques to design of large engineering and industrial systems, and in using the computer-aided design packages with optimization capabilities which are now available.



Collaborative Multidisciplinary Design Optimization For Conceptual Design Of Complex Products


Collaborative Multidisciplinary Design Optimization For Conceptual Design Of Complex Products
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Author : Edris Safavi
language : en
Publisher: Linköping University Electronic Press
Release Date : 2016-10-06

Collaborative Multidisciplinary Design Optimization For Conceptual Design Of Complex Products written by Edris Safavi and has been published by Linköping University Electronic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-06 with categories.


MULTIDESCIPLINARY design optimization (MDO) has developed in theory andpractice during the last three decades with the aim of optimizing complexproducts as well as cutting costs and product development time. Despite thisdevelopment, the implementation of such a method in industry is still a challenge andmany complex products suffer time and cost overruns. Employing higher fidelity models (HFMs) in conceptual design, one of the early and most important phases in the design process, can play an important role in increasing the knowledge base regarding the concept under evaluation. However, design space in the presence of HFMs could significantly be expanded. MDO has proven to be an important tool for searching the design space and finding optimal solutions. This leads to a reduction in the number of design iterations later in the design process, with wiser and more robust decisions made early in the design process to rely on. In complex products, different systems from a multitude of engineering disciplines have to work tightly together. This stresses the importance of evolving various domain experts in the design process to improve the design from diverse engineering perspectives. Involving more engineers in the design process early on raises the challenges of collaboration, known to be an important barrier to MDO implementation in industry. Another barrier is the unavailability and lack of MDO experts in industry; those who understand the MDO process and know the implementation tasks involved. In an endeavor to address the mentioned implementation challenges, a novel collaborative multidisciplinary design optimization (CMDO) framework is defined in order to be applied in the conceptual design phase. CMDO provides a platform where many engineers team up to increase the likelihood of more accurate decisions being taken early on. The structured way to define the engineering responsibilities and tasks involved in MDO helps to facilitate the implementation process. It will be further elaborated that educating active engineers with MDO knowledge is an expensive and time-consuming process for industries. Therefore, a guideline for CMDO implementation in conceptual design is proposed in this thesis that can be easily followed by design engineers with limited prior knowledge in MDO. The performance of the framework is evaluated in a number of case studies, including applications such as aircraft design and the design of a tidal water power plant, and by engineers in industry and student groups in academia.



Evolutionary And Deterministic Methods For Design Optimization And Control With Applications To Industrial And Societal Problems


Evolutionary And Deterministic Methods For Design Optimization And Control With Applications To Industrial And Societal Problems
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Author : Esther Andrés-Pérez
language : en
Publisher: Springer
Release Date : 2018-09-06

Evolutionary And Deterministic Methods For Design Optimization And Control With Applications To Industrial And Societal Problems written by Esther Andrés-Pérez and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-06 with Technology & Engineering categories.


This book contains thirty-five selected papers presented at the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2017). This was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS). Topics treated in the various chapters reflect the state of the art in theoretical and numerical methods and tools for optimization, and engineering design and societal applications. The volume focuses particularly on intelligent systems for multidisciplinary design optimization (mdo) problems based on multi-hybridized software, adjoint-based and one-shot methods, uncertainty quantification and optimization, multidisciplinary design optimization, applications of game theory to industrial optimization problems, applications in structural and civil engineering optimum design and surrogate models based optimization methods in aerodynamic design.



Multidisciplinary Design Optimization For Space Applications


Multidisciplinary Design Optimization For Space Applications
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Author : Annalisa Riccardi
language : en
Publisher:
Release Date : 2012

Multidisciplinary Design Optimization For Space Applications written by Annalisa Riccardi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.




Multidisciplinary Design Optimization Of Complex Structures Under Uncertainty


Multidisciplinary Design Optimization Of Complex Structures Under Uncertainty
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Author : Debiao Meng
language : en
Publisher: CRC Press
Release Date : 2024-09-02

Multidisciplinary Design Optimization Of Complex Structures Under Uncertainty written by Debiao Meng and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-02 with Technology & Engineering categories.


In 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.