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Author: Ann-Britt Ryberg
Publisher: Linköping University Electronic Press
ISBN: 9176854825
Category :
Languages : en
Pages : 48
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Book Description
Multidisciplinary design optimization (MDO) can be used in computer aided engineering (CAE) to efficiently improve and balance performance of automotive structures. However, large-scale MDO is not yet generally integrated within automotive product development due to several challenges, of which excessive computing times is the most important one. In this thesis, a metamodel-based MDO process that fits normal company organizations and CAE-based development processes is presented. The introduction of global metamodels offers means to increase computational efficiency and distribute work without implementing complicated multi-level MDO methods. The presented MDO process is proven to be efficient for thickness optimization studies with the objective to minimize mass. It can also be used for spot weld optimization if the models are prepared correctly. A comparison of different methods reveals that topology optimization, which requires less model preparation and computational effort, is an alternative if load cases involving simulations of linear systems are judged to be of major importance. A technical challenge when performing metamodel-based design optimization is lack of accuracy for metamodels representing complex responses including discontinuities, which are common in for example crashworthiness applications. The decision boundary from a support vector machine (SVM) can be used to identify the border between different types of deformation behaviour. In this thesis, this information is used to improve the accuracy of feedforward neural network metamodels. Three different approaches are tested; to split the design space and fit separate metamodels for the different regions, to add estimated guiding samples to the fitting set along the boundary before a global metamodel is fitted, and to use a special SVM-based sequential sampling method. Substantial improvements in accuracy are observed, and it is found that implementing SVM-based sequential sampling and estimated guiding samples can result in successful optimization studies for cases where more conventional methods fail.
Author: Ann-Britt Ryberg
Publisher: Linköping University Electronic Press
ISBN: 9176854825
Category :
Languages : en
Pages : 48
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Book Description
Multidisciplinary design optimization (MDO) can be used in computer aided engineering (CAE) to efficiently improve and balance performance of automotive structures. However, large-scale MDO is not yet generally integrated within automotive product development due to several challenges, of which excessive computing times is the most important one. In this thesis, a metamodel-based MDO process that fits normal company organizations and CAE-based development processes is presented. The introduction of global metamodels offers means to increase computational efficiency and distribute work without implementing complicated multi-level MDO methods. The presented MDO process is proven to be efficient for thickness optimization studies with the objective to minimize mass. It can also be used for spot weld optimization if the models are prepared correctly. A comparison of different methods reveals that topology optimization, which requires less model preparation and computational effort, is an alternative if load cases involving simulations of linear systems are judged to be of major importance. A technical challenge when performing metamodel-based design optimization is lack of accuracy for metamodels representing complex responses including discontinuities, which are common in for example crashworthiness applications. The decision boundary from a support vector machine (SVM) can be used to identify the border between different types of deformation behaviour. In this thesis, this information is used to improve the accuracy of feedforward neural network metamodels. Three different approaches are tested; to split the design space and fit separate metamodels for the different regions, to add estimated guiding samples to the fitting set along the boundary before a global metamodel is fitted, and to use a special SVM-based sequential sampling method. Substantial improvements in accuracy are observed, and it is found that implementing SVM-based sequential sampling and estimated guiding samples can result in successful optimization studies for cases where more conventional methods fail.
Author: Piotr Breitkopf
Publisher: John Wiley & Sons
ISBN: 1118600002
Category : Technology & Engineering
Languages : en
Pages : 403
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Book Description
This book provides a comprehensive introduction to the mathematical and algorithmic methods for the Multidisciplinary Design Optimization (MDO) of complex mechanical systems such as aircraft or car engines. We have focused on the presentation of strategies efficiently and economically managing the different levels of complexity in coupled disciplines (e.g. structure, fluid, thermal, acoustics, etc.), ranging from Reduced Order Models (ROM) to full-scale Finite Element (FE) or Finite Volume (FV) simulations. Particular focus is given to the uncertainty quantification and its impact on the robustness of the optimal designs. A large collection of examples from academia, software editing and industry should also help the reader to develop a practical insight on MDO methods.
Author: Raviprakash R. Salagame
Publisher: Springer Nature
ISBN: 9811554323
Category : Technology & Engineering
Languages : en
Pages : 319
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Book Description
This volume contains select papers presented during the 2nd National Conference on Multidisciplinary Analysis and Optimization. It discusses new developments at the core of optimization methods and its application in multiple applications. The papers showcase fundamental problems and applications which include domains such as aerospace, automotive and industrial sectors. The variety of topics and diversity of insights presented in the general field of optimization and its use in design for different applications will be of interest to researchers in academia or industry.
Author: Jaroslaw Sobieszczanski-Sobieski
Publisher: John Wiley & Sons
ISBN: 1118897099
Category : Technology & Engineering
Languages : en
Pages : 392
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Book Description
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.
Author: Axel Schumacher
Publisher: Springer
ISBN: 3319679880
Category : Science
Languages : en
Pages : 2115
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Book Description
The volume includes papers from the WSCMO conference in Braunschweig 2017 presenting research of all aspects of the optimal design of structures as well as multidisciplinary design optimization where the involved disciplines deal with the analysis of solids, fluids or other field problems. Also presented are practical applications of optimization methods and the corresponding software development in all branches of technology.
Author: Jeffrey Buckley
Publisher: Frontiers Media SA
ISBN: 2832532527
Category : Education
Languages : en
Pages : 134
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Book Description
Design is a central activity within Science, Technology, Engineering, and Mathematics (STEM) education. Within enacted practice, design can feature within intended learning outcomes, for example in learning to design, and it can feature within pedagogical methodologies, for example by learning through design. Often holding differing disciplinary interpretations such as design as cyclical problem solving, iterative design, conceptual design, or design with or without make, understanding the educational merits of the ill-defined and open nature of authentic designerly activity is paramount. This Research Topic sets out to gain a more nuanced understanding of the value and role(s) of design within STEM educational contexts. This Research Topic focuses on design within STEM educational contexts, particularly in terms of teaching, learning, and assessment. The aim is to contribute to the evidential basis which can be used to guide the incorporation of design into educational practice. The topic has two central research objectives. The first is to generate evidence regarding what design is in STEM education. For example, is the ability to design a singular or manifold construct? Is the capacity to design, or are factors of this ability, both learnable and teachable? How transferable is designerly knowledge between contexts? How do different disciplinary contexts influence the interpretation of design? The second is to further our understanding of how best to incorporate design within STEM education contexts. For example, how much emphasis should be placed on learning to or through design in school? How should design be assessed within formal education? Where and when is design best incorporated into education? In posing these questions, the goal of this research topic is to provide scholarly discourse which supports critical reflection and the challenging of assumptions regarding design in education.
Author: Airong Chen
Publisher: CRC Press
ISBN: 1000342085
Category : Technology & Engineering
Languages : en
Pages : 2619
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Book Description
Life-Cycle Civil Engineering: Innovation, Theory and Practice contains the lectures and papers presented at IALCCE2020, the Seventh International Symposium on Life-Cycle Civil Engineering, held in Shanghai, China, October 27-30, 2020. It consists of a book of extended abstracts and a USB card containing the full papers of 230 contributions, including the Fazlur R. Khan lecture, eight keynote lectures, and 221 technical papers from all over the world. All major aspects of life-cycle engineering are addressed, with special emphasis on life-cycle design, assessment, maintenance and management of structures and infrastructure systems under various deterioration mechanisms due to various environmental hazards. It is expected that the proceedings of IALCCE2020 will serve as a valuable reference to anyone interested in life-cycle of civil infrastructure systems, including students, researchers, engineers and practitioners from all areas of engineering and industry.
Author: Yun Lai Zhou
Publisher: BoD – Books on Demand
ISBN: 1789852609
Category : Technology & Engineering
Languages : en
Pages : 108
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Book Description
This is a collection of several applications for condition monitoring and damage identification in bridge structures. Bridge structural condition monitoring is essential since it can provide early warning of potential defects in bridges, which may induce catastrophic accidents and result in huge economic loss. Such bridge condition monitoring relies on sensing techniques, especially advanced sensing techniques that can provide detailed information on bridge structures. Additionally, postprocessing systems can interpret the captured data and warn of any potential faults. This book will give students a thorough understanding of bridge condition monitoring.
Author: J. Herskovits
Publisher: Springer Science & Business Media
ISBN: 9401104530
Category : Technology & Engineering
Languages : en
Pages : 508
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Book Description
Advances in Structural Optimization presents the techniques for a wide set of applications, ranging from the problems of size and shape optimization (historically the first to be studied) to topology and material optimization. Structural models are considered that use both discrete and finite elements. Structural materials can be classical or new. Emerging methods are also addressed, such as automatic differentiation, intelligent structures optimization, integration of structural optimization in concurrent engineering environments, and multidisciplinary optimization. For researchers and designers in industries such as aerospace, automotive, mechanical, civil, nuclear, naval and offshore. A reference book for advanced undergraduate or graduate courses on structural optimization and optimum design.
Author: Florian Jurecka
Publisher:
ISBN: 9783832263904
Category : Structural Optimization
Languages : en
Pages : 184
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Book Description
