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Mechanical Response of Composites (Hardcover, 2008 ed.) Loot Price: R5,767
Discovery Miles 57 670
Mechanical Response of Composites (Hardcover, 2008 ed.): Pedro P. Camanho, C. G. Davila, S. T. Pinho, J.J.C. Remmers

Mechanical Response of Composites (Hardcover, 2008 ed.)

Pedro P. Camanho, C. G. Davila, S. T. Pinho, J.J.C. Remmers

Series: Computational Methods in Applied Sciences, 10

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Loot Price R5,767 Discovery Miles 57 670 | Repayment Terms: R540 pm x 12*

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Themethodologyfordesigninghigh-performancecompositestructuresisstill evo- ing. The complexity of the response of composite materials and the dif?culties in predicting the composite material properties from the basic properties of the c- stituents result in the need for a well-planned and exhaustive test program. The recommended practice to mitigate the technological risks associated with advanced composite materials is to substantiate the performance and durability of the design in a sequence of steps known as the Building Block Approach. The Building Block Approach ensures that cost and performance objectives are met by testing greater numbers of smaller, less expensive specimens. In this way, technology risks are assessed early in the program. In addition, the knowledge acquired at a given level of structural complexity is built up before progressing to a level of increased complexity. Achieving substantiation of structural performance by testing alone can be p- hibitively expensive because of the number of specimens and components required to characterize all material systems, loading scenarios and boundary conditions. Building Block Approachprogramscan achieve signi?cant cost reductionsby se- ing a synergy between testing and analysis. The more the development relies on analysis, the less expensive it becomes. The use of advanced computational models for the prediction of the mechanical response of composite structures can replace some of the mechanical tests and can signi?cantly reduce the cost of designing with composites while providing to the engineers the information necessary to achieve an optimized design.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Computational Methods in Applied Sciences, 10
Release date: June 2008
First published: June 2008
Editors: Pedro P. Camanho • C. G. Davila • S. T. Pinho • J.J.C. Remmers
Dimensions: 235 x 155 x 19mm (L x W x T)
Format: Hardcover
Pages: 314
Edition: 2008 ed.
ISBN-13: 978-1-4020-8583-3
Categories: Books > Professional & Technical > Mechanical engineering & materials > Materials science > General
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LSN: 1-4020-8583-4
Barcode: 9781402085833

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