A new interval uncertain optimization method for structures using Chebyshev surrogate models

By Jinglai Wu, Zhen Luo, Nong Zhang, Yunqing Zhang. 2015

111 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computational Theory and Mathematics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/8224031081b2b573f6a546e34baeaed3b42e0f16

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Hamid M. Lankarani
2. Qiang Tian
3. Paulo Flores
4. Zhiliang Huang
5. Jiang Chao
6. Bingjie Ni

In Computational Theory and Mathematics

1. Qiang Tian
2. Hamid M. Lankarani
3. Paulo Flores
4. Zhiliang Huang
5. Jiang Chao
6. Bingjie Ni

In Statistics and Probability

1. Zhiliang Huang
2. Jiang Chao
3. Paulo Flores
4. Hamid M. Lankarani
5. Qiang Tian
6. Bingjie Ni

Citations in the corpus

• Discussions on non-probabilistic convex modelling for uncertain problems (2017, methodology): “Also, the convex model approach presently has been applied in various areas in structural mechanics, such as finite element analysis [26, 27], non-probabilistic reliability analysis [5, 18, 28-31], uncertain optimization [32-37], hybrid reliability analysis [38-41], etc.”
• A comprehensive survey of the analytical, numerical and experimental methodologies for dynamics of multibody mechanical systems with clearance or imperfect joints (2018, methodology): “By using the Chebyshev tensor product (CTP) sampling method [485], a computational efficient surrogate model of the interval differential algebraic equations (IDAEs) was established.”