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Computational Methods for Debonding in Composites

Computational Methods for Debonding in Composites

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Preface<br />

The methodology <strong>for</strong> design<strong>in</strong>g high-per<strong>for</strong>mancecomposite structures is still evolv<strong>in</strong>g.<br />

The complexity of the response of composite materials and the difficulties <strong>in</strong><br />

predict<strong>in</strong>g the composite material properties from the basic properties of the constituents<br />

result <strong>in</strong> the need <strong>for</strong> a well-planned and exhaustive test program. The<br />

recommended practice to mitigate the technological risks associated with advanced<br />

composite materials is to substantiate the per<strong>for</strong>mance and durability of the design<br />

<strong>in</strong> a sequence of steps known as the Build<strong>in</strong>g Block Approach. The Build<strong>in</strong>g Block<br />

Approach ensures that cost and per<strong>for</strong>mance objectives are met by test<strong>in</strong>g greater<br />

numbers of smaller, less expensive specimens. In this way, technology risks are<br />

assessed early <strong>in</strong> the program. In addition, the knowledge acquired at a given<br />

level of structural complexity is built up be<strong>for</strong>e progress<strong>in</strong>g to a level of <strong>in</strong>creased<br />

complexity.<br />

Achiev<strong>in</strong>g substantiation of structural per<strong>for</strong>mance by test<strong>in</strong>g alone can be prohibitively<br />

expensive because of the number of specimens and components required<br />

to characterize all material systems, load<strong>in</strong>g scenarios and boundary conditions.<br />

Build<strong>in</strong>g Block Approach programs can achieve significant cost reductions by seek<strong>in</strong>g<br />

a synergy between test<strong>in</strong>g and analysis. The more the development relies on<br />

analysis, the less expensive it becomes. The use of advanced computational models<br />

<strong>for</strong> the prediction of the mechanical response of composite structures can replace<br />

some of the mechanical tests and can significantly reduce the cost of design<strong>in</strong>g with<br />

composites while provid<strong>in</strong>g to the eng<strong>in</strong>eers the <strong>in</strong><strong>for</strong>mation necessary to achieve<br />

an optimized design.<br />

This book aims at br<strong>in</strong>g<strong>in</strong>g together the recent developments <strong>in</strong> the field of computational<br />

models <strong>for</strong> the design of advanced composite structures manufactured<br />

us<strong>in</strong>g both polymer and metal matrices. The book addresses latest developments<br />

relevant to virtual design of composite structures at different stages of the product<br />

development process, from manufactur<strong>in</strong>g of the composite material to optimization<br />

of complex composite structures.<br />

This book covers different types of composite materials, rang<strong>in</strong>g from metalmatrix<br />

composites to polymer-matrix composites re<strong>in</strong><strong>for</strong>ced with fibers with different<br />

architectures, and it <strong>in</strong>cludes a chapter on the prediction of the thermo-elastic<br />

v

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