Reliability based design optimization is a methodology for finding optimized designs that are characterized with a low probability of failure. The main objective in reliability based design optimization is to minimize a merit function while satisfying the reliability constraints. The reliability constraints are constraints on the probability of failure corresponding to each of the failure modes...

a brief background to the development of the rock engineering design process is given, showing that since the development of the science of mathematics, deterministic methods have been used to perform various calculations. the variability of rock properties and support characteristics have always been known. however, they were not explicitly used in design but compensated for by the use of a sa...

Reliability is one of the fundamental considerations in the design of industrial control equipment. The microprocessor-based Hybrid Duplex fault-tolerant System (HDS) proposed in this paper has high reliability to meet this demand although its hardware structure is simple. The hardware configuration of HDS and the fault tolerance of this system are described. The switching control strategies in...

This paper does a wide-ranging review on object oriented software Reliability, and put forth some appropriate information about design level Reliability. Reliability has been recognized as a major factor to software quality, an importance is being drawn to measure reliability early in development life cycle. In this study a metrics based Reliability Estimation Model for object oriented design h...

Software Reliability is the probability of failurefree software operation for a specified period of time in a specified environment. Software Reliability is also an important factor affecting system reliability. Software Reliability without excessive limitations. Various approaches can be used to improve the reliability of componentbased software system, however, it is hard to balance developme...

this paper presents an optimal integrated instrumentation sensor network design methodology for complex nonlinear chemical process plants using a combinatorial particle swarm optimiazation (cpso) engine. no comprehensive sensor network design approach has been addressed yet in the literature to simultaneously incorporate cost, precision and reliability requirements for nonlinear plants. the pre...

Traditional Multidisciplinary Design Optimization (MDO) generates deterministic optimal designs, which are frequently pushed to the limits of design constraint boundaries, leaving little or no room to accommodate uncertainties in system input, modeling, and simulation. As a result, the design solution obtained may be highly sensitive to the variations of system input which will lead to performa...

Traditional Multidisciplinary Design Optimization (MDO) generates deterministic optimal designs, which are frequently pushed to the limits of design constraint boundaries, leaving little or no room to accommodate uncertainties in system input, modeling, and simulation. As a result, the design solution obtained may be highly sensitive to the variations of system input which will lead to performa...

Reliability based design optimization has received increasing attention for satisfying high requirements on reliability and safety in structure design. However, in practical engineering design, there are both continuous and discrete design variables. Moreover, both aleatory uncertainty and epistemic uncertainty may associate with design variables. This paper proposes the formulation of random/f...