TBM cutterhead structure optimization based on sensitivity analysis

Abstract

Cutterhead is one of the key parts of tunnel boring machine (TBM) with complex structure. It is subject to poor work condition, and has limited working space which results in great difficulty to examine and repair. Cutterhead design must consider key factors such as strength and rigidity. Improper structure design will cause excessive overall or local vibration damage of the cutterhead. In this paper, finite element simulation was adopted to analyze the sensitivity and effects of structure parameters have on static and dynamic performance of cutterhead. 5 structure parameters with high sensitivity were selected to establish a fuzzy optimization mathematical model targeting at optimizing strength and rigidity of cutterhead structure. The Multi-Objective Genetic Algorithm (MOGA) was adopted for goal-driven optimization analysis on cutterhead structure, and the cutterhead design parameters with optimal overall performance were obtained in decision space. The maximum von misesstress was reduced by 43.6% and the maximum strain was reduced by 12.6% after the design optimization.1