Application of particle swarm optimisation to construction planning for cable-stayed bridges by the cantilever erection method

作者：Sung Yu Chi^*; Wang Chun Ying; Teo Eng Huat

来源：Structure and Infrastructure Engineering, 2016, 12(2): 208-222.

DOI：10.1080/15732479.2015.1008521

• artificial intelligence
• construction stage analysis
• post-tensioning cable force
• pre-cambering of girders

The optimum construction planning of cable-stayed bridges using the cantilever erection method is modelled by setting the objective function as the minimisation of deviation between structural displacement upon completion and the pre-planned construction targets. The constraints on the axial forces of each cable during each erection stage are set to not exceed allowable values and the design variables of post-tensioning force of the dominated cable at each erection stage. Particle swarm optimisation (PSO) and simulated annealing (SA) in the mutation operation of a conventional genetic algorithm (GA) are integrated to improve the ability to escape a local minimum. The PSO-SA-GA is designed to work with the Midas Civil commercial software to determine variables automatically. The newly constructed SheZi Bridge in Taipei, Taiwan, was chosen as a case study and the obtained results were compared to planned results determined by the bridge contractor. The results obtained show that the method developed in this study can be applied effectively for optimum planning of cable-stayed bridges using cantilever erection.

• 出版日期2016-2-1