Browse Subject Areas

For Authors

Submit a Proposal

Join Our Mailing List

Enter your email address:

Enter your first name:

Enter your last name:

Choose subjects that interest you
Hold down the CTRL key for multiple selection

Probabilistic Physics of Failure Approach to Reliability

Modeling, Accelerated Testing, Prognosis and Reliability Assessment
By Mohammad Modarres, Mehdi Amiri and Christopher Jackson
Series: Performability Engineering Series
Copyright: 2017   |   Status: Published
ISBN: 9781119388630  |  Hardcover  |  
283 pages
Price: $195.00 USD
Add To Cart

One Line Description
This book provides a comprehensive coverage of the salient features of the role probability and statistics play in predicting the uncertainty in the estimates of life and reliability.

The book is essential to researchers and engineers in reliability engineering, mechanical engineering, probabilistic risk assessment, materials degradation and failure, applied probability and statistics, fracture mechanics, prognosis and health management and applied physics.

Engineers are often involved with product development that are constantly challenged to reduce time-to-market, minimize warranty costs, and increase quality. The physics-of-failure approach and modeling through the use of probabilistic physics of failure (PPoF) is the modern approach to help engineers toward this end.
The book presents highly technical approaches to the probabilistic physics of failure analysis and applications to accelerated life and degradation testing to reliability prediction and assessment. Besides reviewing a select set of important failure mechanisms, the book covers basic and advanced methods of performing accelerated life test (ALT) and accelerated degradation tests, as well as analyzing the test data such as accelerated degradation testing, Highly Accelerated Life Testing (HALT), and Highly Accelerated Stress Screening (HASS).
The book includes a large number of very useful examples to help readers understand the complicated methods described. Finally, MATLAB, R and OpenBUGS computer scripts are provided and discussed to support complex computational probabilistic analyses introduced.

Back to Top
Author / Editor Details
Mohammad Modarres is Director, Center for Risk and Reliability and the Nicole Y. Kim Eminent Professor of Engineering, University of Maryland; M.S. (1977) and PhD (1980) in Nuclear Engineering from MIT, and M.S. in Mechanical Engineering also from MIT (1977). He has more than 400 papers in archival journals and proceedings of conferences, including several books and textbooks in various areas of nuclear safety, risk and reliability engineering. He is a University of Maryland Distinguished Scholar-Teacher and a fellow of the American Nuclear Society.

Mehdi Amiri is an adjunct professor in the Department of Mechanical Engineering, George Mason University; M.S. (2006) in Mechanical Engineering from University of Tehran, Iran and PhD (2011) in Mechanical Engineering from Louisiana State University (LSU). His main research interests include materials, failure prediction through simulation-based modeling of the microstructural defects, with current emphasis on additively manufactured materials, and nondestructive evaluation and testing.

Christopher Jackson is the Acting Director of the Centre of Reliability and Resilience Engineering at the B. John Garrick Institute for the Risk Sciences, University of California, Los Angeles. He graduated with a PhD (2011) and MS (2007) in Reliability Engineering from the University of Maryland, a Masters of Military Studies (2012) from the Australian National University, and a Bachelor of Engineering (Mechanical 2001) from the University of New South Wales. His current research thrusts revolve around Bayesian analysis, big data analysis and complex system modelling.

Back to Top

Author/Editor Details
Bookmark this page