期刊论文

Ye, Nanhai

英文

Structural Safety

0167-4730

2019

77

48-56

10.1016/j.strusafe.2018.11.004

A two-objective reliability-based design optimization problem is given as follows: mindf1d=d1+32+d2+22 f2d=50-d2d1-4 Subject to: β1Lg1d,X,Y=Y2Y1d1+X22-0.5X1d2-Y32≥0≥β1t β2Lg2d,X,Y=X2d1+0.5Y22-50.5Y1-d2Y3-X1≥0≥β2t 0≤d1≤5,0≤d2≤5,Y-YCTWYY-YC≤1where d=d1,d2T is a design vector and the distributions of the random variables X=X1,X2T is given in Table 1. In the Normal distribution, the parameters 1 and 2 denote the mean and standard deviation, respectively. In the Type I extreme value distribution, the

本校为其他机构

A multi-objective reliability-based design optimization method is proposed based on probabilistic and ellipsoidal convex hybrid model. With reliability index as the constraint, a three-layer nested multi-objective optimization problem is involved. To reduce the computation costs, an efficient decoupling strategy is presented to transform the original problem into a two-layer nested optimization problem. Then the intergeneration projection genetic algorithm and the micro multi-objective genetic algorithm are employed as inner and outer layer optimization operator to solve the multi-objective op...