Citation

Wu X, Feng Z, Liu J, Wang L, Chen H, Li X. China Saf. Sci. J. 2022; 32(8): 45-51.

Copyright

(Copyright © 2022, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2022.08.2702

PMID

unavailable

Abstract

In order to effectively adjust construction parameters of shields, and to achieve safe construction, a multi-objective optimization model based on RF and NSGA-II algorithm was established, in which control analysis of construction parameters were optimized with main shield parameters as research object and ground settlement as control target. Then, nine shield parameters controlling surface settlement were selected as input indexes of RF prediction model, and nonlinear relationship between the parameters and settlement was obtained as NSGA-II fitness function. Then, cutter wear was selected as the second optimization objective, and constraint range of construction parameters was set for multi-objective optimization. Finally, with a rail transit project in karst areas as an example, verification was conducted. The results show that using RF algorithm in training and simulating measured data of the project will result in high prediction accuracy. And the proposed model based on RF-NSGA-II features significant multi- objective optimization effect of ground settlement and cutter head wear, and it can obtain control range of shield construction parameters in karst areas. © 2022 China Safety Science Journal. All rights reserved.

Language: zh