Non-probabilistic convex model process: A new method of time-variant uncertainty analysis and its application to structural dynamic reliability problems
By Chao Jiang, Bingjie Ni, Y. Tao. 2014
174 citations recorded by the source corpus.
Subfields: Safety, Risk, Reliability and Quality, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/007b1fe20e3ba327dee69dc7152c9a3f4cb3eb58
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In Safety, Risk, Reliability and Quality
In Statistics and Probability
Citations in the corpus
- A novel computational inverse technique for load identification using the shape function method of moving least square fitting (2014, background): “Nowadays in many practical engineering problems, such as structural strength analysis, health monitoring and fault diagnosis, and vibration isolation [1–5], the knowledge of dynamic loads acting on a structure is always required.”
- Discussions on non-probabilistic convex modelling for uncertain problems (2017, methodology): “Recently, some variants of the traditional convex models were also developed, including the multi-ellipsoid model [20, 21], the multidimensional parallelepiped model [22, 23], the super-ellipsoidal model [24], the convex model process [25], etc.”