Reliability-Based Optimization: Small Sample Optimization Strategy
نویسندگان
چکیده
The aim of the paper is to present a newly developed approach for reliability-based design optimization. It is based on double loop framework where the outer loop of algorithm covers the optimization part of process of reliability-based optimization and reliability constrains are calculated in inner loop. Innovation of suggested approach is in application of newly developed optimization strategy based on multilevel simulation using an advanced Latin Hypercube Sampling technique. This method is called Aimed multilevel sampling and it is designated for optimization of problems where only limited number of simulations is possible to perform due to enormous computational demands.
منابع مشابه
Reliability Optimization for Complicated Systems with a Choice of Redundancy Strategies (TECHNICAL NOTE)
Redundancy allocation is one of the common techniques to increase the reliability of the bridge systems. Many studies on the general redundancy allocation problems assume that the redundancy strategy for each subsystem is predetermined and fixed. In general, active redundancy has received more attention in the past. However, in real world, a particular system design contains both active and col...
متن کاملRELIABILITY-BASED DESIGN OPTIMIZATION OF COMPLEX FUNCTIONS USING SELF-ADAPTIVE PARTICLE SWARM OPTIMIZATION METHOD
A Reliability-Based Design Optimization (RBDO) framework is presented that accounts for stochastic variations in structural parameters and operating conditions. The reliability index calculation is itself an iterative process, potentially employing an optimization technique to find the shortest distance from the origin to the limit-state boundary in a standard normal space. Monte Carlo simulati...
متن کاملA New Recursive Formulation for the Mixed Redundancy Strategy in Reliability Optimization Problems
One of the common approaches for improving the reliability of a specific system is to use parallel redundant components in subsystems. This approach, which is known as the redundancy allocation problem (RAP), includes the simultaneous selection of the component type and its level for each subsystem in order to maximize the system reliability.Traditionally, there are two redundancy strategies, n...
متن کاملRELIABILITY BASED OPTIMIZATION USING NEURAL NETWORKS M. Papadrakakis and N. D. Lagaros
In this paper a robust and efficient methodology is presented for treating large-scale reliability-based, structural optimization problems. The optimization part is performed with evolution strategies, while the reliability analysis is carried out with the Monte Carlo simulation (MCS) method incorporating the importance sampling technique for the reduction of the sample size. The elasto-plastic...
متن کاملOptimal Placement and Sizing of DG in Distributed Network using NSGA-II based on Cold-Standby Strategy
Abstract: in this Paper, Optimal placement and sizing of DGs is considered as an engineering optimization problem. Due to integration and influence of DGs in distributed networks, optimal location and sizing of them are done based on objective functions such as: voltage profile improvement, power loss reduction, reliability improvement, restraining the increase of power plant, etc. These goals ...
متن کامل