1 New trends in nonlinear dynamics of structures.- 2 Time-frequency techniques for identifying nonlinear responses.- 3 Non parametric analysis techniques applied to nonlinear dynamics.- 4 Modeling of friction and damping in machinery.- 5 Modelling of nonlinear vibrations of beams and frames.- 6 Nonlinear dynamics of complex mechanical systems.- 7 Measurement of dynamic variables applied to structures and machinery.- 8 Case Studies.
Juan Carlos Jauregui is a Professor at the Universidad Autonoma de Queretaro, where he conducts research in the design and dynamics of machinery. He has been responsible for the design of a large number of automatic, tailor-made machines employed in a range of industries. Among these projects, he was in charge of the design and construction of a parallel robot for positioning the secondary mirror of the Large Millimetric Telescope (www.lmtgtm.org). He has also been involved in the development of monitoring systems based on vibration analysis, a topic on which he has written several papers and the book “Parameter Identification and Monitoring of Mechanical Systems Under Nonlinear Vibration” (Elsevier). In addition, he has written more than 70 papers in international journals and conference proceedings, two other books and several book chapters.
He belongs to different professional organizations, including the ASME (American Society of Mechanical Engineers), Mexican Society of Mechanical Engineering, Academy of Engineering (Mexico) and IFToMM. He is also a member of the National Research System, the most prestigious research evaluation program in Mexico, and has been honored with several awards.
This book compiles recent research in the field of nonlinear dynamics, vibrations and damping applied to engineering structures. It addresses the modeling of nonlinear vibrations in beams, frames and complex mechanical systems, as well as the modeling of damping systems and viscoelastic materials applied to structural dynamics. The book includes several chapters related to solution techniques and signal analysis techniques. Last but not least, it deals with the identification of nonlinear responses applied to condition monitoring systems.