Parameter Identification of Materials and Structures

Parameter Identification of Materials and Structures
Author :
Publisher : Springer Science & Business Media
Total Pages : 343
Release :
ISBN-10 : 9783211381342
ISBN-13 : 3211381341
Rating : 4/5 (341 Downloads)

Book Synopsis Parameter Identification of Materials and Structures by : Zenon Mróz

Download or read book Parameter Identification of Materials and Structures written by Zenon Mróz and published by Springer Science & Business Media. This book was released on 2007-04-28 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: The nature and the human creations are full of complex phenomena, which sometimes can be observed but rarely follow our hypotheses. The best we can do is to build a parametric model and then try to adjust the unknown parameters based on the available observations. This topic, called parameter identification, is discussed in this book for materials and structures. The present volume of lecture notes follows a very successful advanced school, which we had the honor to coordinate in Udine, October 6-10, 2003. The authors of this volume present a wide spectrum of theories, methods and applications related to inverse and parameter identification problems. We thank the invited lecturers and the authors of this book for their contributions, the participants of the course for their active participation and the interesting discussions as well as the people of CISMfor their hospitality and their well-known professional help. Zenon Mroz Georgios E. Stavroulakis CONTENTS Preface An overview of enhanced modal identification by L. Bolognini 1 The reciprocity gap functional for identifying defects and cracks by H. D. Bui, A. Constantinescu and H. Maigre 17 Some innovative industrial prospects centered on inverse analyses by G. Maier, M. Bocciarelli andR. Fedele 55 Identification of damage in beam and plate structures using parameter dependent modal changes and thermographic methods by Z. Mroz andK. Dems 95 Crack and flaw identification in statics and dynamics, using filter algorithms and soft computing by G. E, Stavroulakis, M. Engelhardt andH.

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