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Viac informácií o knihe Multiscale Structural Topology Optimization

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• Anotácia kniha
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Nákupom získate 306 bodov

Anotácia knihy

Various optimization methods for structural size, shape, topology designs have been developed and widely employed in engineering applications. Among which, topology optimization has been recognized as one of the most effective tools for least weight and performance design, especially in aeronautics and aerospace engineering. This book discusses the development of a multiscale design framework for topology optimization of multiscale nonlinear structures. With the intention to alleviate the heavy computational burden of the design framework, the authors present a POD-based adaptive surrogate model for the RVE solutions at the microscopic scale and make a step further towards the design of multiscale elastoviscoplastic structures. This book focuses on the simultaneous design of both macroscopic structure and microscopic materials. In this model, the material microstructures are optimized in response to the macroscopic solution, which results in the nonlinearity of the equilibrium problem of the interface of the two scales. The authors include a reduce database model from a set of numerical experiments in the space of effective strain. Presents the first attempts towards topology optimization design of nonlinear highly heterogeneous structuresHelps you design simultaneously the topologies of both macroscopic structure and microscopic materialsHelps you develop computer codes for the designs of nonlinear structures and of materials with extreme constitutive properties

Parametre knihy

Zaradenie knihy Books in English Technology, engineering, agriculture Technology: general issues Maths for engineers

• Celý názov: Multiscale Structural Topology Optimization
• Autor: Liang Xia
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 184
• EAN: 9781785481000
• ISBN: 1785481002
• ID: 02957581
• Nakladateľ: ISTE Press Ltd - Elsevier Inc
• Hmotnosť: 440 g
• Rozmery: 162 × 235 × 16 mm
• Dátum vydania: 04. April 2016

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