Results 231 to 240 of about 29,704,411 (288)

A Second-Order Reliability Method With First-Order Efficiency

open access: yesJournal of Mechanical Design, 2010
The first-order reliability method (FORM) is efficient but may not be accurate for nonlinear limit-state functions. The second-order reliability method (SORM) is more accurate but less efficient. To maintain both high accuracy and efficiency, we propose a new second-order reliability analysis method with first-order efficiency.
Xiaoping Du, Junfu Zhang
core   +3 more sources

Reliability sensitivity based on first-order reliability method

open access: yesProceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2011
A new efficient and accurate method for reliability sensitivity analysis of mechanical components is proposed based on the first-order reliability method (FORM). This method provides very close approximate solutions for strongly non-linear limit state functions with independent normal random variables.
Z Yanfang, Z Yanlin, Z Yimin
openaire   +2 more sources

First Order Reliability Method With Truncated Random Variables

open access: yesJournal of Mechanical Design, 2012
In many engineering applications, the probability distributions of some random variables are truncated; these truncated distributions are resulted from restricting the domain of other probability distributions. If the first order reliability method (FORM) is directly used, the truncated random variables will be transformed into unbounded standard ...
Xiaoping Du, Zhen Hu
openaire   +2 more sources

Reliability Methods for Bimodal Distribution With First-Order Approximation

open access: yesASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 2018
In traditional reliability problems, the distribution of a basic random variable is usually unimodal; in other words, the probability density of the basic random variable has only one peak. In real applications, some basic random variables may follow bimodal distributions with two peaks in their probability density. When binomial variables are involved,
Zhangli Hu, Xiaoping Du
openaire   +2 more sources

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