Journal of Northeastern University Natural Science ›› 2020, Vol. 41 ›› Issue (4): 521-527.DOI: 10.12068/j.issn.1005-3026.2020.04.012

• Mechanical Engineering • Previous Articles     Next Articles

Optimal Design of Interval Reliability for Uncertain Structures

WANG Xin-gang, XU Pei-xi, LI Shang-jie, MA Rui-min   

  1. School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China.
  • Received:2019-08-28 Revised:2019-08-28 Online:2020-04-15 Published:2020-04-17
  • Contact: WANG Xin-gang
  • About author:-
  • Supported by:
    -

Abstract: The interval reliability for uncertain structures was studied and an optimal design model based on interval reliability was established. By using the model of nested genetic algorithm and radial basis function neural network, the direct optimization of the interval was carried out, which solves the problem of the optimal design based on the interval reliability and avoids the complicated transformation process of the indirect model. The disturbance of the design vector in actual engineering was fully considered, and the constraint of the objective function fluctuation in this case was proposed, so that the objective function and the constraint function still meet the reliability requirements under disturbance. The numerical examples verified the validity and superiority of the model. The proposed model was applied to the optimization of driving slabs with interval uncertain parameters, whose results verified its feasibility and engineering effectiveness.

Key words: uncertain structure, interval reliability, direct interval optimization, nested genetic algorithm, radial basis function neural network

CLC Number: