ABSTRACT

For safety, reliability and economic reasons, the nonlinearities of many dynamic engineering systems under environmental and other forces that are treated as random disturbances must be taken into account in the design procedures. This and the demand for precision have motivated the research and development in nonlinear random vibration. Loosely speaking, the field of nonlinear random vibration can be subdivided into four categories. The later include analytical techniques, computational methods, Monte Carlo simulation (MCS), and system identification with experimental techniques. This book is mainly concerned with the first category and therefore the publications quoted henceforth focus on this category. The subject of computational nonlinear random vibration shall be dealt with in a companion book that is being prepared by the author.