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Showing 1 to 7 of 7 for “"Subset simulation"”.
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An Efficient Method to Assess Reliability under Dynamic Stochastic Loads
… dynamic systems requires performing Monte Carlo simulations in time domain with thousands of replications. The computational cost of such analyses is prohibitive for most real-life complex systems.In this study, a new method is proposed to reduce the computational cost of the reliability study of …
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Uncertainty and sensitivity analysis for long-running computer codes : a critical review
… analysis for complex, computationally expensive simulation models. Uncertainty analysis (UA) methods reviewed include standard Monte Carlo simulation, Latin Hypercube sampling, importance sampling, line sampling, and subset simulation. Sensitivity analysis (SA) methods include scatter plots, …
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Reliability estimation and risk-cost optimisation of underground pipelines
… (HL-RF) algorithm and Monte Carlo Simulation (MCS) have been used to estimate the reliability. Then Subset Simulation (SS) method is developed to enhance the applicability, especially for small failure probability prediction. Accuracy prediction method, Receiver Operating …
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A Signature Enrichment Design With Bayesian Adaptive Randomization For Cancer Clinical Trials
… that are effective only in a sensitive subset. Simulation studies demonstrate the advantages of the proposed design over alternative designs. The approach is also illustrated by an example based on an actual clinical trial in non-small-cell lung cancer.</p> <p>In contrast to the …
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Spectral finite element modelling and damage identification of beam-like structures using linear and nonlinear guided waves
… (BUS) using the efficient and robust algorithm, Subset simulation, is proposed to identify the location, delaminated layer and length of the delaminations. The uncertainties of the identification are provided. For validation, the proposed methods are experimentally executed using Laser vibrometre …
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Reliability-based analysis and maintenance of buried pipes considering the effect of uncertain variables
… the existing methods such as Monte Carlo simulation are limited because of their computational capability. Often, they can only account for the aleatory type of uncertainty. Furthermore, with the increasing need in the use of buried pipelines, developing a robust and effective framework …
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Development of advanced reliability assessment models with applications in integrity management of onshore energy pipelines
… The structural reliability method adopted is Subset Simulation (SuS) and the whole analysis is referred to as BUS-SuS. Two case studies are carried out to illustrate and validate the proposed methodology. In the first case study, hierarchical BUS-SuS is implemented on an existing gas pipeline …