A non-probabilistic structural reliability analysis method based on a multidimensional parallelepiped convex model
By Chao Jiang, Q. F. Zhang, Y. Qian. 2014
98 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/877ca852a2486bf92521f5fc9a8413620c9e0a0f
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In Civil and Structural Engineering
In Statistics and Probability
Citations in the corpus
- Interval arithmetic operations for uncertainty analysis with correlated interval variables (2016, methodology): “In our recent work [33,34], we have developed a new interval model: a multidimensional parallelepiped (MP) model, which can take into account the independent and dependent interval variables in a unified framework.”
- Discussions on non-probabilistic convex modelling for uncertain problems (2017, methodology): “Herein we employ the non-probabilistic reliability index to evaluate the reliability degree of a structure under uncertainty, which represents a minimal distance from the original point to the limit-state surface in a standardized space [16, 29].”
- Structural reliability analysis using a copula-function-based evidence theory model (2014, methodology): “8, a car crashing onto the rigid wall with an initial velocity of 56 km/h is considered [64], and the reliability analysis is conducted for the peak acceleration a of the B-pillar bottom and the maximum intrusion b of the steering”