Titlebook: Advances in Reliability and Safety Assessment for Critical Systems; Proceedings of the 5 C. Senthil Kumar,R. Sujatha,Prabhakar V. Varde Con

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Undecidability and Unsolvability,onal reliability. The key results are the determination of the human error probabilities of the actions considered significant. The method proposed in this paper has been successfully utilized for the HRA analysis of a high-impact aeronautical situation. It also provides an analytical basis for the

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Christopher Child,Kostas Stathisaminates. Although it is possible to propose the varying fiber paths through various mathematical formulations, it may not be viable to generate the VS laminate layups having the pre-assigned angle parameters. This can be due to various practical reasons from the manufacturing constraints. Such unno

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Event Identification in Indian Standard PHWR NPP Using Machine Learning Technique,ating crew judgement and skill of trade. Events once correctly diagnosed are easier to manage using Emergency Operating Procedures (EOP) but events at times it could be difficult to identify under stressful transient operation of large, complex interactive systems. Events if wrongly identified can d

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Adaptive Kriging Metamodel Based Reliability Analysis of Tunnel,es on the improvement of Kriging prediction by spatial distribution of the sample points is explored. The proposed adaptive method selects the next best point on the basis of maximin distance criterion from the reduced space considering the prediction uncertainties of Kriging model. The application

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Prosaic

Robust Design Optimization of Telecommunication Tower Under Extreme Load in Dual Response Surface Mf explicit functional form of constraints. Another issue is the record-to-record variations of wind load time-histories, which are generally observed even for the same set-up of characterizing parameters. To circumvent these problems, the present study proposes a dual response surface method (RSM)-b

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Statistical Characterisation of Service Life of Corroded RC Bridge Pier,hickness of porous zone around reinforcement are chosen as random variables. In the modeling of uncertainties in the time for propagation after the first crack, corrosion current density, water-cement ratio, and effective area of reinforcement are chosen as random variables. Wherein, water-cement ra

prosperity

Deep Neural Network for Time Dependent Reliability Analysis of Structures,roposed algorithm is elucidated by considering a numerical example of a corroded beam under random loading. The capability of the algorithm is studied by comparing with the response time history and reliability results of the beam obtained by the proposed approach and actual evaluation of the respon