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"This thesis focuses on developing a methodology for accurately estimating series system probability of failure. Existing methods for series system based design optimization are not that accurate because they assign reliability to each failure mode; as a result complete system reliability goes down. According to method proposed in this work, the user will assign required system reliability at the start and then optimizer will apportion reliability to every failure mode in order to meet required system reliability level. Detlevson second order upper bounds are used to estimate system probability of failure. Several examples have been shown to verify the results obtained"--Abstract, leaf iii
A high percentage of defense systems fail to meet their reliability requirements. This is a serious problem for the U.S. Department of Defense (DOD), as well as the nation. Those systems are not only less likely to successfully carry out their intended missions, but they also could endanger the lives of the operators. Furthermore, reliability failures discovered after deployment can result in costly and strategic delays and the need for expensive redesign, which often limits the tactical situations in which the system can be used. Finally, systems that fail to meet their reliability requirements are much more likely to need additional scheduled and unscheduled maintenance and to need more spare parts and possibly replacement systems, all of which can substantially increase the life-cycle costs of a system. Beginning in 2008, DOD undertook a concerted effort to raise the priority of reliability through greater use of design for reliability techniques, reliability growth testing, and formal reliability growth modeling, by both the contractors and DOD units. To this end, handbooks, guidances, and formal memoranda were revised or newly issued to reduce the frequency of reliability deficiencies for defense systems in operational testing and the effects of those deficiencies. "Reliability Growth" evaluates these recent changes and, more generally, assesses how current DOD principles and practices could be modified to increase the likelihood that defense systems will satisfy their reliability requirements. This report examines changes to the reliability requirements for proposed systems; defines modern design and testing for reliability; discusses the contractor's role in reliability testing; and summarizes the current state of formal reliability growth modeling. The recommendations of "Reliability Growth" will improve the reliability of defense systems and protect the health of the valuable personnel who operate them.
This book contains probabilistic analyses and reliability-based designs (RBDs) for the enhancement of Eurocode 7 (EC7) and load and resistance factor design (LRFD) methods. An intuitive perspective and efficient computational procedure for the first-order reliability method (FORM, which includes the Hasofer–Lind reliability index) is explained, together with discussions on the similarities and differences between the design point of EC7/LRFD and RBD-via-FORM. Probability-based designs with respect to the ultimate and serviceability limit states are demonstrated for soil and rock engineering, including shallow and deep foundations, earth-retaining structures, soil slopes, 2D rock slopes with discontinuities, 3D rock slopes with wedge mechanisms, and underground rock excavations. Renowned cases in soil and rock engineering are analyzed both deterministically and probabilistically, and comparisons are made with other probabilistic methods. This book is ideal for practitioners, graduate students and researchers and all who want to deepen their understanding of geotechnical RBD accounting for uncertainty and overcome some limitations and potential pitfalls of the evolving LRFD and EC7. Solutions for the book’s examples are available online and are helpful to acquire a hands-on appreciation: https://www.routledge.com/9780367631390.
This book provides readers with an understanding of the fundamentals and applications of structural reliability, stochastic finite element method, reliability analysis via stochastic expansion, and optimization under uncertainty. It examines the use of stochastic expansions, including polynomial chaos expansion and Karhunen-Loeve expansion for the reliability analysis of practical engineering problems.
Discussing the modern tools that support designs based on product reliability, this text focuses on the classical techniques of reliability analysis as well as response surface modelling and physics-based reliability prediction methods. It makes use of the available personal computer tools that permit a host of application examples, and contains an IBM-compatible disk that illustrates immediately applicable software that facilitates reliability modelling in mechanical design.
A unique, design-based approach to reliability engineering Design for Reliability provides engineers and managers with a range of tools and techniques for incorporating reliability into the design process for complex systems. It clearly explains how to design for zero failure of critical system functions, leading to enormous savings in product life-cycle costs and a dramatic improvement in the ability to compete in global markets. Readers will find a wealth of design practices not covered in typical engineering books, allowing them to think outside the box when developing reliability requirements. They will learn to address high failure rates associated with systems that are not properly designed for reliability, avoiding expensive and time-consuming engineering changes, such as excessive testing, repairs, maintenance, inspection, and logistics. Special features of this book include: A unified approach that integrates ideas from computer science and reliability engineering Techniques applicable to reliability as well as safety, maintainability, system integration, and logistic engineering Chapters on design for extreme environments, developing reliable software, design for trustworthiness, and HALT influence on design Design for Reliability is a must-have guide for engineers and managers in R&D, product development, reliability engineering, product safety, and quality assurance, as well as anyone who needs to deliver high product performance at a lower cost while minimizing system failure.
S.S. Rao presents the principles of reliability-based engineering and design in a simple and straight-forward approach. He addresses the design of mechanical components and systems; Monte Carlo simulation; reliability-based optimum design; strength-based reliability and interface theory; reliability testing; time-dependent reliability of components and systems; failure modes, event tree and fault tree analysis; quality control and reliability; modeling of geometry; weakest-link and fail-safe systems; maintainability and availability; extremal distributions; random variables and probability distributions; functions of random variables; and basic probability theory. With 254 illustrations and an index.
Thompson (mechanical engineering, UMIST, UK and researcher and author in the field) addresses maintainability and reliability issues in engineering systems and products from a design perspective. Chapters covering general design issues; basic principles of maintainability and reliability; design review; equipment and system evaluation; failure mode analysis; specifications, contracts, and management; concept design; equipment design principles for maintainability and reliability; design for reliability; design to reduce ongoing maintenance costs; and the feedback of information to design. Suitable both as a reference text for particular design methods and as a broader examination of how to achieve maintainability and reliability through design. Distributed by ASME. Annotation copyrighted by Book News, Inc., Portland, OR
Reliability is one of the fundamental criteria in engineering systems. Design and maintenance serve to support it throughout the systems life. As such, maintenance acts in parallel to production and can have a great impact on the availability and capacity of production and the quality of the products. The authors describe current and innovative methods useful to industry and society.
Increasing demand on improving the resiliency of modern structures and infrastructure requires ever more critical and complex designs. Therefore, the need for accurate and efficient approaches to assess uncertainties in loads, geometry, material properties, manufacturing processes, and operational environments has increased significantly. Reliability-based techniques help develop more accurate initial guidance for robust design and help to identify the sources of significant uncertainty in structural systems. Reliability-Based Analysis and Design of Structures and Infrastructure presents an overview of the methods of classical reliability analysis and design most associated with structural reliability. It also introduces more modern methods and advancements, and emphasizes the most useful methods and techniques used in reliability and risk studies, while elaborating their practical applications and limitations rather than detailed derivations. Features: Provides a practical and comprehensive overview of reliability and risk analysis and design techniques. Introduces resilient and smart structures/infrastructure that will lead to more reliable and sustainable societies. Considers loss elimination, risk management and life-cycle asset management as related to infrastructure projects. Introduces probability theory, statistical methods, and reliability analysis methods. Reliability-Based Analysis and Design of Structures and Infrastructure is suitable for researchers and practicing engineers, as well as upper-level students taking related courses in structural reliability analysis and design.