Parameter Identification of Materials and Structures / edited by Zenon Mróz, Georgios E. Stavroulakis.

Springer eBooks

An Overview of Enhanced Modal Identification -- The Reciprocity Gap Functional for Identifying Defects and Cracks -- Some innovative industrial prospects centered on inverse analyses -- Identification of damage in beam and plate structures using parameter dependent modal changes and thermographic methods -- Crack and Flaw Identification in Statics and Dynamics, using Filter Algorithms and Soft Computing -- Application of Advanced Optimization Techniques to Parameter and Damage Identification Problems -- Neural Networks in the Identification Analysis of Structural Mechanics Problems.

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 try to adjust (identify) the unknown parameters based on the available observations. The authors discuss problems relevant to materials and structures like inverse analysis in structures, crack, material parameter and damage identification, modal analysis and thermographic methods. The solution methods vary from classical optimization to neural networks and genetic algorithms. Since all the authors are engineers, well-known in the academic and industrial world, the emphasis is posed on methods which really work. In fact, the chapters provide state-of-the-art information supplemented by selected examples and numerous references to modern publications, so that the reader can directly proceed with the study of his own problems.

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