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ISBN 10: 1644902486 ISBN 13: 9781644902486
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ISBN 10: 1644902494 ISBN 13: 9781644902493
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Published by Materials Research Forum LLC, 2023
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Published by Materials Research Forum LLC, 2023
ISBN 10: 1644902486 ISBN 13: 9781644902486
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Published by Materials Research Forum LLC, 2023
ISBN 10: 1644902486 ISBN 13: 9781644902486
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Published by Materials Research Forum LLC, 2023
ISBN 10: 1644902494 ISBN 13: 9781644902493
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Condition: New.
Language: English
Published by Materials Research Forum LLC, 2023
ISBN 10: 164490246X ISBN 13: 9781644902462
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
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Published by Materials Research Forum LLC, 2023
ISBN 10: 1644902494 ISBN 13: 9781644902493
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Published by Materials Research Forum LLC, 2023
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Published by Butterworth-Heinemann Inc 2015-08-21, 2015
ISBN 10: 0124167071 ISBN 13: 9780124167070
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Published by John Wiley and Sons Inc, US, 2022
ISBN 10: 1119975921 ISBN 13: 9781119975922
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. Addresses the very topical, crucial and original subject of parameter identification and optimization within multiscale modeling methods Multiscale Modelling and Optimization of Materials and Structures presents an important and challenging area of research that enables the design of new materials and structures with better quality, strength and performance parameters as well as the creation of reliable models that take into account structural, material and topological properties at different scales. The authors' approach is four-fold; 1) the basic principles of micro and nano scale modeling techniques; 2) the connection of micro and/or nano scale models with macro simulation software; 3) optimization development in the framework of multiscale engineering and the solution of identification problems; 4) the computer science techniques used in this model and advice for scientists interested in developing their own models and software for multiscale analysis and optimization. The authors present several approaches such as the bridging and homogenization methods, as well as the general formulation of complex optimization and identification problems in multiscale modelling. They apply global optimization algorithms based on robust bioinspired algorithms, proposing parallel and multi-subpopulation approaches in order to speed-up computations, and discuss several numerical examples of multiscale modeling, optimization and identification of composite and functionally graded engineering materials and bone tissues. Multiscale Modelling and Optimization of Materials and Structures is thereby a valuable source of information for young scientists and students looking to develop their own models, write their own computer programs and implement them into simulation systems. Describes micro and nano scale models developed by the authors along with case studies of analysis and optimizationDiscusses the problems of computing costs, efficiency of information transfer, effective use of the computer memory and several other aspects of development of multiscale modelsIncludes real physical, chemical and experimental studies with modern experimental techniquesProvides a valuable source of information for young scientists and students looking to develop their own models, write their own computer programs, and implement them into simulation systems.
Language: English
Published by Butterworth-Heinemann, 2015
ISBN 10: 0124167071 ISBN 13: 9780124167070
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. 512.
Condition: New. pp. 400.
Language: English
Published by Butterworth-Heinemann, 2015
ISBN 10: 0124167071 ISBN 13: 9780124167070
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Language: English
Published by Butterworth-Heinemann, 2015
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Published by Elsevier - Health Sciences Division, US, 2015
ISBN 10: 0124167071 ISBN 13: 9780124167070
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£ 183.61
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Add to basketHardback. Condition: New. Computational Materials Engineering: Achieving High Accuracy and Efficiency in Metals Processing Simulations describes the most common computer modeling and simulation techniques used in metals processing, from so-called "fast" models to more advanced multiscale models, also evaluating possible methods for improving computational accuracy and efficiency. Beginning with a discussion of conventional fast models like internal variable models for flow stress and microstructure evolution, the book moves on to advanced multiscale models, such as the CAFÉ method, which give insights into the phenomena occurring in materials in lower dimensional scales. The book then delves into the various methods that have been developed to deal with problems, including long computing times, lack of proof of the uniqueness of the solution, difficulties with convergence of numerical procedures, local minima in the objective function, and ill-posed problems. It then concludes with suggestions on how to improve accuracy and efficiency in computational materials modeling, and a best practices guide for selecting the best model for a particular application.
Language: English
Published by John Wiley and Sons Inc, US, 2022
ISBN 10: 1119975921 ISBN 13: 9781119975922
Seller: Rarewaves.com UK, London, United Kingdom
Hardback. Condition: New. Addresses the very topical, crucial and original subject of parameter identification and optimization within multiscale modeling methods Multiscale Modelling and Optimization of Materials and Structures presents an important and challenging area of research that enables the design of new materials and structures with better quality, strength and performance parameters as well as the creation of reliable models that take into account structural, material and topological properties at different scales. The authors' approach is four-fold; 1) the basic principles of micro and nano scale modeling techniques; 2) the connection of micro and/or nano scale models with macro simulation software; 3) optimization development in the framework of multiscale engineering and the solution of identification problems; 4) the computer science techniques used in this model and advice for scientists interested in developing their own models and software for multiscale analysis and optimization. The authors present several approaches such as the bridging and homogenization methods, as well as the general formulation of complex optimization and identification problems in multiscale modelling. They apply global optimization algorithms based on robust bioinspired algorithms, proposing parallel and multi-subpopulation approaches in order to speed-up computations, and discuss several numerical examples of multiscale modeling, optimization and identification of composite and functionally graded engineering materials and bone tissues. Multiscale Modelling and Optimization of Materials and Structures is thereby a valuable source of information for young scientists and students looking to develop their own models, write their own computer programs and implement them into simulation systems. Describes micro and nano scale models developed by the authors along with case studies of analysis and optimizationDiscusses the problems of computing costs, efficiency of information transfer, effective use of the computer memory and several other aspects of development of multiscale modelsIncludes real physical, chemical and experimental studies with modern experimental techniquesProvides a valuable source of information for young scientists and students looking to develop their own models, write their own computer programs, and implement them into simulation systems.
Language: English
Published by Butterworth-Heinemann, 2015
ISBN 10: 0124167071 ISBN 13: 9780124167070
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 174.99
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