TY  - JOUR
AB  - © 2014 Elsevier Ltd. All rights reserved. This paper proposes a new non-probabilistic interval uncertain optimization methodology for structures. The uncertain design problem is often formulated as a double-loop optimization. Interval arithmetic is introduced to directly evaluate the bounds of interval functions and eliminate the inner loop optimization. A high-order Taylor inclusion function is proposed to compress the overestimation of interval arithmetic. A Chebyshev surrogate model is proposed to approximate the high-order coefficients of the inclusion function. A metaheuristic optimization algorithm is combined with the mathematical programming to search the global optimum. Two numerical examples are used to demonstrate the effectiveness of this method.
AU  - Wu, J
AU  - Luo, Z
AU  - Zhang, N
AU  - Zhang, Y
DA  - 2015/01/01
DO  - 10.1016/j.compstruc.2014.09.006
EP  - 196
JO  - Computers and Structures
PY  - 2015/01/01
SP  - 185
TI  - A new interval uncertain optimization method for structures using Chebyshev surrogate models
VL  - 146
Y1  - 2015/01/01
Y2  - 2026/06/15
ER  -