Reliability Based Design Optimization of Systems with Dynamic Failure Probabilities of Components
Reliability Based Design Optimization of Systems with Dynamic Failure Probabilities of Components

Author: Arun Bala Subramaniyan

Publisher:

Published: 2016

Total Pages: 56

ISBN-13:

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This research is to address the design optimization of systems for a specified reliability level, considering the dynamic nature of component failure rates. In case of designing a mechanical system (especially a load-sharing system), the failure of one component will lead to increase in probability of failure of remaining components. Many engineering systems like aircrafts, automobiles, and construction bridges will experience this phenomenon.In order to design these systems, the Reliability-Based Design Optimization framework using Sequential Optimization and Reliability Assessment (SORA) method is developed. The dynamic nature of component failure probability is considered in the system reliability model. The Stress-Strength Interference (SSI) theory is used to build the limit state functions of components and the First Order Reliability Method (FORM) lies at the heart of reliability assessment. Also, in situations where the user needs to determine the optimum number of components and reduce component redundancy, this method can be used to optimally allocate the required number of components to carry the system load. The main advantage of this method is that the computational efficiency is high and also any optimization and reliability assessment technique can be incorporated. Different cases of numerical examples are provided to validate the methodology.

Reliability-based Design Optimization Using Buffered Failure Probability
Reliability-based Design Optimization Using Buffered Failure Probability

Author: Habib Gurkan Basova

Publisher:

Published: 2010

Total Pages: 53

ISBN-13:

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Reliability-based design optimization (RBDO) seeks the best design for a structural system under uncertainty. Typically, uncertainty arises from random loads such as wind pressure and random material properties such as yield stress. A reliable design must account for uncertainties to ensure safety. Various methods have been proposed to solve the nonlinear optimization models that RBDO uses. However, these methods are theoretically and computationally troublesome as they involve constraints on failure probability, and failure probability is difficult to handle in optimization algorithms. This thesis considers an alternative approach to RBDO that uses the "buffered failure probability," and develops four new solution algorithms based on sample-average approximations. Buffered failure probability is more conservative than failure probability and it is much easier to handle in optimization algorithms. We test the algorithms on six engineering-design examples from the literature. The examples range from simple systems with two design variables to complicated ones with ten. Results show that the new algorithms may reduce solution time by an average factor of 560 compared to an existing algorithm. Furthermore, they can handle problem instances with two orders of magnitude larger sample sizes, which may be important for reasons of accuracy.

Reliability and Optimization of Structural Systems ’90
Reliability and Optimization of Structural Systems ’90

Author: A. Der Kiureghian

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 399

ISBN-13: 364284362X

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This proceedings volume contains papers presented at the Third Scientific Meeting of the IFIP Working Group on "Reliabilty and Optimization of Structural Systems". The contributions reflect recent developments in the field of modern structural systems optimization and reliability theory and point out directions for further research. Also perspectives for the education in this field were discussed.

Reliability-based Design
Reliability-based Design

Author: Singiresu S. Rao

Publisher: McGraw-Hill Companies

Published: 1992

Total Pages: 596

ISBN-13:

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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.

Engineering Design Reliability Handbook
Engineering Design Reliability Handbook

Author: Efstratios Nikolaidis

Publisher: CRC Press

Published: 2004-12-22

Total Pages: 1216

ISBN-13: 0203483936

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Researchers in the engineering industry and academia are making important advances on reliability-based design and modeling of uncertainty when data is limited. Non deterministic approaches have enabled industries to save billions by reducing design and warranty costs and by improving quality. Considering the lack of comprehensive and defini

Reliability-Based Analysis and Design of Structures and Infrastructure
Reliability-Based Analysis and Design of Structures and Infrastructure

Author: Ehsan Noroozinejad Farsangi

Publisher: CRC Press

Published: 2021-09-27

Total Pages: 597

ISBN-13: 100041809X

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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.

Reliability and Optimization of Structural Systems
Reliability and Optimization of Structural Systems

Author: Marc Maes

Publisher: CRC Press

Published: 2020-11-17

Total Pages: 396

ISBN-13: 1000108163

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This volume is an outcome of the 11th IFIP WG7.5 working conference on Reliability and Optimization of Structural Systems in Canada. The conference focuses on structural reliability methods and applications and engineering risk analysis and decision-making.

Reliability-based Modeling of System Performance
Reliability-based Modeling of System Performance

Author: Abdelkhalak El Hami

Publisher: John Wiley & Sons

Published: 2023-09-12

Total Pages: 228

ISBN-13: 1394236689

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Probabilistic modeling of system performance, built primarily on the foundation of reliability theory, is referred to as reliability-based modeling. This book progressively builds up the functional complexity of system modeling. It starts by modeling the simplest system that can be designed, and then moves to the functional modeling of the multi-state system, step-by-step. Reliability-based Modeling of System Performance deals with modeling the functioning of systems by presenting its concepts, methods and mathematical tools. It is accessible to engineering students and academics who have already acquired basic knowledge of probability theory, applied statistics, differential calculus, integrals, combinatorial calculus and Boolean algebra.

Advances in Reliability and System Engineering
Advances in Reliability and System Engineering

Author: Mangey Ram

Publisher: Springer

Published: 2016-11-30

Total Pages: 268

ISBN-13: 3319488759

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This book presents original studies describing the latest research and developments in the area of reliability and systems engineering. It helps the reader identifying gaps in the current knowledge and presents fruitful areas for further research in the field. Among others, this book covers reliability measures, reliability assessment of multi-state systems, optimization of multi-state systems, continuous multi-state systems, new computational techniques applied to multi-state systems and probabilistic and non-probabilistic safety assessment.

Dynamic Reliability Analysis and Design for Complex Engineered Systems
Dynamic Reliability Analysis and Design for Complex Engineered Systems

Author: Zequn Wang

Publisher:

Published: 2014

Total Pages: 132

ISBN-13:

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Ensuring a high level of system reliability throughout a product life-cycle is one of paramount tasks for engineering design, which requires new reliability analysis and design techniques to effectively address the challenges of system design under time-variant probabilistic constraints, such as those induced by time-dependent loading condition and system component deterioration. Extensive reviews on existing literature on reliability analysis and reliability based design optimization for complex engineered systems have identified important challenge problems to be addressed in this research, which have been organized into three research thrusts as follows: -Reliability Analysis using Surrogate Models: In this research thrust, the objective is to develop a robust approach to approximate static reliability efficiently and accurately based on surrogate models. Two challenge problems will be addressed: (1) How to evaluate fidelity of surrogate models and accuracy of reliability approximation based on those models, and (2) How to efficiently update a surrogate model if it does not meet the accuracy requirement. -Reliability Analysis with Time-variant Probabilistic Constraints. In this research thrust, the objective is to develop an efficient approach for dynamic reliability analysis considering time-variant probabilistic constraints. There are two challenges to be addressed: (1) How to handle the time-dependency of system failure events in dynamic reliability analysis, and (2) How to improve the efficiency of dynamic reliability analysis. -Reliability Analysis with Multiple System Failure Modes. The objective of this thrust is to develop a novel system reliability analysis framework to address a grand challenge in design that multiple system failure modes must be addressed concurrently to ensure a high level of system reliability.