Dynamic Methods for Damage Detection in Structures

Here is a state-of-the-art overview of dynamic methods for health monitoring and damage detection in structures, with emphasis on current advanced research. The topic is treated as a series of lessons, explaining both theoretical and experimental aspects.

Non destructive testing aimed at monitoring, structural identification and di- nostics is of strategic importance in many branches of civil and mechanical - gineering. This type of tests is widely practiced and directly affects topical issues regarding the design of new buildings and the repair and monitoring of existing ones. The load bearing capacity of a structure can now be evaluated using well established mechanical modelling methods aided by computing facilities of great capability. However, to ensure reliable results, models must be calibrated with - curate information on the characteristics of materials and structural components. To this end, non destructive techniques are a useful tool from several points of view. Particularly, by measuring structural response, they provide guidance on the validation of structural descriptions or of the mathematical models of material behaviour. Diagnostic engineering is a crucial area for the application of non destructive testing methods. Repeated tests over time can indicate the emergence of p- sible damage occurring during the structure's lifetime and provide quantitative estimates of the level of residual safety.

From the reviews: This book is written for researchers who are interested in advanced lectures in dynamic methods for damage detection. This book focuses on inverse methods for damage detection inverse methods from the first two chapters. The rest of the book, chapters 3 to 8, presents updated advanced techniques for detecting damage with discussions of real-life applications. Overall, this is a good book on dynamic methods for damage detection in structures. (Ran Zhou, International Journal of Acoustic and Vibration, Vol. 18 (2), June, 2013)

Inhalt
Elements of Experimental Modal Analysis.- Damage Identification using Inverse Methods.- Time-Domain Identification of Structural Systems from Input-Output Measurements.- Structural Identification Parametric Models and Idefem Code.- Structural Identification and Damage Detection.- Damage Detection in Vibrating Beams.- Characteristics and Detection of Damage and Fatigue Cracks.- The reflection of the fundamental torsional mode from cracks and notches in pipes.- Damage detection with auxiliary subsystems.