CHF 70.00

Advances in Numerical Modeling of Adhesive Joints

English · Paperback / Softback

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Description

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This book deals with the most recent numerical modeling of adhesive joints. Advances in damage mechanics and extended finite element method are described in the context of the Finite Element method with examples of application. The book also introduces the classical continuum mechanics and fracture mechanics approach and discusses the boundary element method and the finite difference method with indication of the cases they are most adapted to. At the moment there a no numerical technique that can solve any problem and the analyst needs to be aware of the limitations involved in each case.

About the author

Lucas F. M. da Silva is currently Assistant Professor at the Faculty of Engineering of the University of Porto. He received a PhD related to adhesive bonding in 2004 from the University of Bristol under the supervision of Prof RD Adams. Since then, he has been teaching and investigating structural adhesive joints. The work covers a wide range of engineering structural adhesives such as epoxies, acrylics and bismaleimides. Several test methods for adhesive joints are available at the FEUP including various joint configurations such as bulk specimens, lap shear joints and butt joints. In addition to the experimental expertise, detailed analytical models and finite element analysis of stresses and strains within the joints are also undertaken. §In 2005 he joined the editorial board of the "International Journal of Adhesion and Adhesives".

Summary

This book deals with the most recent numerical modeling of adhesive joints. Advances in damage mechanics and extended finite element method are described in the context of the Finite Element method with examples of application. The book also introduces the classical continuum mechanics and fracture mechanics approach and discusses the boundary element method and the finite difference method with indication of the cases they are most adapted to. At the moment there a no numerical technique that can solve any problem and the analyst needs to be aware of the limitations involved in each case.

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