Multiscale modelling and optimization of materials and structures / Tadeusz Burczynski [and five others]

By: Burczynski, Tadeusz [author.]
Language: English Publisher: Hoboken, NJ : Wiley, 2022Copyright date: ©2022Description: 1 online resource : illustrations (some color)Content type: text Media type: computer Carrier type: online resourceISBN: 9781119975922; 9781118536445; 1118536444; 9781118536452; 1118536452; 9781118536469; 1118536460Subject(s): Multiscale modeling | Materials scienceGenre/Form: Electronic books.Additional physical formats: Print version:: Multiscale modelling and optimization of materialsDDC classification: 620.1/1 LOC classification: QA76.9.C65 | B86 2022Online resources: Full text available at Wiley Online Library Click here to view
Contents:
Front Matter -- Introduction to Multiscale Modelling and Optimization -- Modelling of Phenomena -- Computational Methods -- Preparation of Material Representation -- Examples of Multiscale Simulations -- Optimization and Identification in Multiscale Modelling -- Computer Implementation Issues -- Concluding Remarks -- Index.
Summary: "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."-- Provided by publisher.
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Includes bibliographical references and index.

Front Matter -- Introduction to Multiscale Modelling and Optimization -- Modelling of Phenomena -- Computational Methods -- Preparation of Material Representation -- Examples of Multiscale Simulations -- Optimization and Identification in Multiscale Modelling -- Computer Implementation Issues -- Concluding Remarks -- Index.

"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."-- Provided by publisher.

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