Surrogate-assisted two-phase tensioning strategy optimization for the system transformation process of a cable-stayed bridge. Issue 4 (2nd April 2020)

• Record Type: Journal Article
• Authors: Wang, Xiaoming; Wu, Wentao; Liu, Yan; Ran, Zhun
• Is Part Of: Engineering optimization. Volume 52:Issue 4(2020)
• Page Start: 603
• Page End: 619
• Publication Date: 2020-04-02
• Subjects: System transformation process -- construction process -- cable-stayed bridge -- uncertainty -- reliability-based design optimization -- back propagation neural network; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2019.1610947
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: This article proposes an efficient computational framework addressing optimal two-phase tensioning planning for the system transformation process (STP) of a cable-stayed bridge erected by the incremental launching method. The Phase I problem consists of identifying one-off stretching of stayed cables to minimize construction expense. A back propagation neural network (BPNN)-assisted global sensitivity analysis is presented to address problems in Phase I. The Phase II problem is to decide two-step stayed-cable stretching lengths such that the optimized scheme satisfies multiple control principles for a successful STP. A BPNN-assisted reliability-based design optimization method is presented to achieve this goal. The applicability and efficiency of the framework is demonstrated with a real cable-stayed bridge. The results indicate that the proposed framework can deliver an optimal tensioning strategy effectively for the system transformation process of a cable-stayed bridge during the complex construction process.