Results 261 to 270 of about 1,358,459 (299)

Reliability-based sensitivity analysis of ships

Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, 2005
Failure of a ship hull girder is a very important failure mode, which is normally catastrophic and has severe consequences. It is of great importance to predict accurately the ultimate strength of a hull girder so that an adequate but not excessive safety margin for this failure can be ensured in the ship design.
Downes, Jonathan, Pu, Y.
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How Reliable Is Moral Sensitivity?

Common Knowledge, 2010
This response to “Morality or Moralism?” by Emilie Hache and Bruno Latour takes issue with their distinction between two kinds of morality. Hache and Latour see a difference between morality as sensitivity and morality as principled claims regarding moral considerability.
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Sensitivity of reliability of logic gates

2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA), 2017
Ever-shrinking dimensions of transistors in CMOS have caused the failure rates/probabilities to increase dramatically. Monte Carlo simulations are one way of estimation the failure probabilities, however, such simulations tend to be very time-consuming. A much speedier alternative is to use models for the estimation.
Azam Beg, Ifrah Jaffri
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Sensitivity Analysis for the System Reliability Function

Probability in the Engineering and Informational Sciences, 1991
Sensitivity analysis is an integral part of virtually every study of system reliability. This paper describes a Monte Carlo sampling plan for estimating this sensitivity in system reliability to changes in component reliabilities. The unique feature of the approach is that sample data collected on K independent replications using a specified component ...
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Sensitivity, Reliability and Consumer Taste Testing

Journal of Marketing Research, 1966
This article concerns the importance, in consumer taste tests, of screening respondents for sensitivity and reliability. A methodological approach involving triad comparisons is described as one procedure which proved convenient and efficient.
Alin Gruber, Barbara Lindberg
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Sensitivity Analysis of Reliability‐Based Optimal Solution

Journal of Engineering Mechanics, 1994
The paper examines reliability‐based optimization problems formulated as the minimization of an objective function with reliability constraints that model the requirements for the reliability index of component failure modes. It is briefly described how these problems can be solved.
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Urban design-storm sensitivity and reliability

Journal of Hydrology, 1984
Abstract Urban-runoff design-storm selection has in the past been arbitrary at times. This has led to inadequate and unreliable capacity design of urban-runoff structures. By utilizing a continuous urban-runoff digital computer model, the frequency response of selected urban basins to a selected historical point-rainfall record is generated.
Michael L. Voorhees, Harry G. Wenzel
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Reliability Sensitivity Analysis of Dynamical Systems

2019
The reliability sensitivity analysis of systems subjected to stochastic loading is considered in this chapter. In particular, the change that the probability of failure undergoes due to changes in the distribution parameters of the uncertain model parameters is utilized as a sensitivity measure.
Hector Jensen, Costas Papadimitriou
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Sensitivity of Reliability‐Based Optimum Design

Journal of Structural Engineering, 1985
A reliability‐based optimization sensitivity analysis technique based on the feasible directions concept is presented for plastic design of redundant structures. This technique is specialized to a formulation of the problem of plastic optimization for minimum weight based on a rational reliability constraint for sizing members.
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Reliability calculation based on sensitivity analysis

Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology, 2011
The optimization method based the sensitivity analysis compute structural reliability is proposed. At first, we analyze sensitivity. The stress differentiates with respect to a random variable may obtain the sensitivity. According to the sensitivity analysis, designer should modify data. Second, optimization model is established.
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