This book highlights the applications of data mining technologies in structural dynamic analysis, including structural design, optimization, parameter identification, model updating, damage identification, in civil, mechanical, and aerospace engineering. These engineering applications require precise structural design, fabrication, inspection, and further monitoring to obtain a full life-cycle analysis, and by focusing on data processing, data mining technologies offer another aspect in structural dynamic analysis. Discussing techniques in time/frequency domain, such as Hilbert transforms, wavelet theory, and machine learning for structural dynamic analysis to help in structural monitoring and diagnosis, the book is an essential reference resource for beginners, graduates and industrial professionals in various fields.

Modal analysis is a discipline that has developed considerably during the last 30 years. Theoretical and Experimental Modal Analysis is a new book on modal analysis aimed at a wide range of readers, from academics such as post-graduate students and researchers, to engineers in many industries who use modal analysis tools and need to improve their knowledge of the subject. Divided into eight chapters, the book ranges from the basics of vibration theory and signal processing to more advanced topics, including identification techniques, substructural coupling, structural modification, updating of finite element models and nonlinear modal analysis. There is also an entire chapter dedicated to vibration testing techniques. It has been written with a diversity of potential readers in mind, so that all will be able to follow the book easily and assimilate the concepts involved.

Modal analysis is one of the most powerful tools available to the engineer for the dynamic analysis of structures. Development has been rapid and spans the identification and evaluation of vibration phenomena, the validation, correction and updating of analytical models and the assessment of structural integrity. The texts assembled here form a coheren t work. After a first chapter on the fundamentals of modal analysis, the reader is introduced to signal processing and the basic rules of exchange and analysis of dynamic information. The derivation of theoretical models for modal analysis is then addressed, followed by three chapters on the different approaches to the derivation of models based in the identification of experimental data: time domain, frequency domain and pseudo-testing. This leads to the discussion of updating analytical models and to model quality assessment techniques. Further topics treated include damage detection and evaluation, structural modification, damping modelling, and the normalisation of complex modes. Less well-known topics are also included: active control of structures, acoustic modal analysis and neural networks for modal analysis, advanced optimization methods of model updating, modal analysis for rotating machinery, and nonlinearity in modal analysis.