This second edition of the book, Nonlinear Random Vibration: Analytical Techniques and Applications, expands on the original edition with additional detailed steps in various places in the text. It is a first systematic presentation on the subject. Its features include: * a concise treatment of Markovian and non- Markovian solutions of nonlinear stochastic differential equations, * exact solutions of Fokker-Planck-Kolmogorov equations, * methods of statistical linearization, * statistical nonlinearization techniques, * methods of stochastic averaging, * truncated hierarchy techniques, and * an appendix on probability theory. A special feature is its incorporation of detailed steps in many examples of engineering applications. Targeted audience: Graduates, research scientists and engineers in mechanical, aerospace, civil and environmental (earthquake, wind and transportation), automobile, naval, architectural, and mining engineering.

Engineering Dynamics is an introductory textbook covering the kinematics and dynamics of particles, systems of particles, and kinematics and dynamics of rigid bodies. It has been developed from lecture notes given by the author since 1982. It includes sufficient topics normally covered in a single-semester three credit hour course taken by sophomores in an undergraduate degree program majoring in various engineering disciplines. The primary focus of the book is on kinematics and dynamics of particles, kinematics and dynamics of systems of particles, and kinematics and dynamics of rigid bodies in two- and three-dimensional spaces. It aims at providing a short book, relative to many available in literature, but with detailed solutions to representative examples. Exercise questions are included.

This second edition of the book, Nonlinear Random Vibration: Analytical Techniques and Applications, expands on the original edition with additional detailed steps in various places in the text. It is a first systematic presentation on the subject. Its features include: * a concise treatment of Markovian and non- Markovian solutions of nonlinear stochastic differential equations, * exact solutions of Fokker-Planck-Kolmogorov equations, * methods of statistical linearization, * statistical nonlinearization techniques, * methods of stochastic averaging, * truncated hierarchy techniques, and * an appendix on probability theory. A special feature is its incorporation of detailed steps in many examples of engineering applications. Targeted audience: Graduates, research scientists and engineers in mechanical, aerospace, civil and environmental (earthquake, wind and transportation), automobile, naval, architectural, and mining engineering.