塔式起重机塔身销连接安拆技术研究OA

To address the challenges of pin-hole alignment during tower crane standard section assembly and disassembly,mitigate associated operational risks,and reduce reliance on manual expertise,an optimized method incorporating an automated pin insertion mechanism has been proposed.Firstly,a tower structure deformation model was established for assembly and disassembly scenarios,and the combined effects of luffing trolley position and boom slew angle on tower body bending moments were analyzed to reveal tower structure deformation induced by load variations,and the consequent pin-hole misalignment,constitute the primary sources of assembly and disassembly difficulty.Accordingly,an evaluation model was developed that quantifies pin-hole alignment based on hydraulic line pressure variations.Secondly,a real-time data acquisition system was implemented to capture hydraulic pressure,trolley position,and boom slew angle.Field experiments are conducted to characterize pressure variations during pin insertion and extraction across diverse operating conditions.Results demonstrate that pin insertion and extraction pressures correlate with both trolley position and boom slew angle,and an optimal operating window exists where pressure is minimized.An optimization model derived from this correlation enables operators to identify optimal trolley positions and boom slew angles for standard section pin insertion and removal.This transition from experience-based judgment to data-driven decision-making effectively mitigates operational hazards and enhances assembly and disassembly efficiency.