Small failure probability: principles, progress and perspectives
Abstract Design of structural and multidisciplinary systems under uncertainties requires
estimation of their reliability or equivalently the probability of failure under the given …
estimation of their reliability or equivalently the probability of failure under the given …
A comparison of methods to estimate peak wind loads on buildings
The most appropriate statistical technique to estimate a peak pressure coefficient from wind
tunnel data is not a settled issue. The lack of a standard acceptable method can lead to …
tunnel data is not a settled issue. The lack of a standard acceptable method can lead to …
Probabilistic safety assessment of a short span high-speed railway bridge
A probabilistic methodology for the safety assessment of short span railway bridges for high-
speed traffic is presented. The purpose is to create a simple, efficient and automatic …
speed traffic is presented. The purpose is to create a simple, efficient and automatic …
Efficient methodology for the probabilistic safety assessment of high-speed railway bridges
The efficiency of different probabilistic methodologies for the safety assessment of short
span railway bridges is compared in the current paper. Two different simulation methods …
span railway bridges is compared in the current paper. Two different simulation methods …
Adaptive sampling based estimation of small probability of failure using interpretable Self-Organising Map
Structural and multidisciplinary design under uncertainty for high reliability or equivalently
small probability of failure is a challenging task owing to the high computational cost …
small probability of failure is a challenging task owing to the high computational cost …
Distinguishing between model-and data-driven inferences for high reliability statistical predictions
Estimating the tails of probability distributions plays a key role in complex engineering
systems where the goal is characterization of low probability, high consequence events …
systems where the goal is characterization of low probability, high consequence events …
Reliability analysis for k-out-of-n systems with shared load and dependent components
T Zhang, Y Zhang, X Du - Structural and Multidisciplinary Optimization, 2018 - Springer
Many structural systems require a minimal number of components to be operational, and
predicting the reliability of such systems is a challenge because surviving components share …
predicting the reliability of such systems is a challenge because surviving components share …
Non-Gaussian peak factor model for windward walls of rigid buildings of different aspect ratios
Windward walls, which are critical for setting the base shear loads, have been observed to
follow non-Gaussian features due to the upstream horseshoe vortex, which nature is more …
follow non-Gaussian features due to the upstream horseshoe vortex, which nature is more …
L-moments-based uncertainty quantification for scarce samples including extremes
D Jayaraman, P Ramu - Structural and Multidisciplinary Optimization, 2021 - Springer
Sampling-based uncertainty quantification demands large data. Hence, when the available
sample is scarce, it is customary to assume a distribution and estimate its moments from …
sample is scarce, it is customary to assume a distribution and estimate its moments from …
Estimating probabilistic fatigue of Nitinol with scarce samples
P Ramu, S Arul - International Journal of Fatigue, 2016 - Elsevier
Current work estimates probabilistic fatigue life efficiently with scarce samples. The
underlying idea of the estimation is to approximate the cumulative distribution function of the …
underlying idea of the estimation is to approximate the cumulative distribution function of the …