Wavelet Analysis in Civil Engineering

Wavelets as a Powerful Signal Processing Tool

The principles of wavelets can be applied to a range of problems in civil engineering structures, such as earthquake-induced vibration analysis, bridge vibrations, and damage identification. This book is particularly useful for graduate students and researchers in vibration analysis, especially those dealing with random vibrations.

explains the importance of wavelets in analyzing nonstationarities in ground motions. The example of a tank is considered to develop the problem and the model (based on linear assumptions) and several case studies are explored—fixed base, flexible base, lateral and rocking motions of foundations, with and without fluid—to explain how to account for ground motion nonstationarities. Bridge vibrations caused by vehicle passage are explored, as is structural damage identification. Wavelet analytic techniques starting from single degree of freedom systems to multiple degree of freedom systems are set out and detailed solutions of more complicated problems involving soil and fluid interactions are presented. Separate chapters have been devoted to explaining the basic principles of the wavelet-based random nonstationary vibration analysis of nonlinear systems, including probabilistic analysis.

• Introduces the concept and utility of wavelet transform
• Describes the discretization of ground motions using wavelet coefficients
• Explains how to characterize nonstationary ground motions using statistical functionals of wavelet coefficients of seismic accelerations
• Develops the formulation of a linear single-degree-of-freedom system
• Shows stepwise development of the formulation of a structure idealized as a linear multi-degree-of-freedom system in terms of wavelet coefficients
• Defines wavelet domain formulation of a nonlinear single-degree-of-freedom system
• Introduces the concept of probability in wavelet-based theoretical formulation of a nonlinear two-degree-of-freedom system
• Covers a variety of case studies highlighting diverse applications

resource for users addressing wavelets for the first time.