Non-Gaussian Random Vibration Fatigue Analysis and Accelerated Test

This book covers non-Gaussian random vibration fatigue analysis and test theory, methods, and applications, including statistical analysis, modeling, simulation, response analysis, life analysis, reliability evaluation, and accelerated test methods. It helps readers understand and evaluate the fatigue life and reliability of structures under non-Gaussian random excitation.

Format: Hardback
Length: 167 pages
Publication date: 16 September 2021
Publisher: Springer Verlag, Singapore

This comprehensive book delves into the realm of non-Gaussian random vibration fatigue analysis and testing, encompassing a wide range of theoretical concepts, methodologies, and practical applications. It serves as a valuable resource for scholars, researchers, and practitioners in the field.

The book begins by introducing the fundamental principles of non-Gaussian random vibration, including its definition, characteristics, and potential sources. It then explores the statistical analysis method for non-Gaussian random vibration, covering topics such as probability density functions, autocorrelation functions, and moment-generating functions.

Next, the book delves into the modeling and simulation of non-Gaussian/non-stationary random vibration, employing advanced numerical techniques such as finite element analysis and stochastic differential equations. It discusses the development of accurate models that capture the complex behavior of non-Gaussian random processes, enabling realistic simulations of real-world scenarios.

The response analysis under non-Gaussian base excitation is another crucial aspect covered in the book. It examines the effects of non-Gaussian random excitation on structural systems, including the development of non-Gaussian random response functions and the use of non-Gaussian random vibration fatigue life analysis methods. The authors provide detailed insights into the evaluation of fatigue life and reliability of structural components subjected to non-Gaussian random loadings.

Furthermore, the book explores non-Gaussian random vibration accelerated test methods and their applications. It discusses the use of high-speed cameras, accelerometers, and other sensing devices to capture non-Gaussian random vibration data in real-time. The authors discuss the advantages and limitations of these methods and provide practical examples of their use in various industries.

Throughout the book, the authors emphasize the importance of understanding non-Gaussian random vibration in various applications, such as aerospace, automotive, and energy systems. They provide case studies and examples from real-world scenarios to illustrate the practical implications of non-Gaussian random vibration analysis and testing.

In conclusion, this book is a must-read for anyone interested in non-Gaussian random vibration fatigue analysis and testing. It offers a comprehensive and up-to-date coverage of the theoretical foundations, modeling techniques, and practical applications of non-Gaussian random vibration. With its extensive content, it provides valuable insights into the evaluation of fatigue life and reliability of structural components under non-Gaussian random excitation. Whether you are a scholar, researcher, or practitioner, this book will be an invaluable resource for your work in this field.

Weight: 436g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811636936
Edition number: 1st ed. 2022