摘要
研发了一种适用于综掘巷道的掘支锚联合机组。为提高掘支锚联合机组支护机构的安全性与稳定性,根据参数化建模和分析方法研究了支护结构支撑油缸刚度对结构频响特性的影响,以各支撑油缸的刚度为设计变量,结构的最大位移振幅最小及最大应力振幅最小为优化目标函数,对支撑油缸刚度进行优化设计,确定了各弹簧的最佳刚度,并进行了实验验证。结果表明:优化后模型在3个轴向的最大应力响应比优化前分别减小了96.72%、95.87%、96.65%;优化后模型的最大位移响应在Z轴方向虽然比之前略有增大,但X轴和Y轴方向分别减小了98.17%和74.61%;实验结果与仿真结果的固有频率最大误差为8.6%,且频响曲线变化规律基本一致,证明了优化设计的有效性。
An excavation and anchor combined unit for comprehensive roadway was developed.The influences of support cylinder stiffness on frequency responses were investigated by parametric modeling method for improving the safety and stability of excavation and anchor combined units.The optimization analysis was conducted, which took the stiffness of each supporting cylinder as the design variable and the maximum displacement amplitude least and the maximum stress amplitude least of the structure as the optimum objective function.The stiffness of the supporting cylinders was optimized and the optimum stiffness of each springs was determined.The simulation results were verified by experiments.The results show that after optimization,the maximum response stress ratio of the three axial directions of the model decreases 96.72%,95.87% and 96.65% respectively than that before optimization.The maximum displacement response of the optimized model is slightly larger in the Z axis than that before optimization,but the X and Y axes decrease 98.17% and 74.61% respectively.The maximum natural frequency errors between the experimental results and the simulation ones are as 8.6%,and the variation rules of frequency response curve are basically the same,which proves the effectiveness of the optimal design.
作者
谢苗
李晓婧
XIE Miao;LI Xiaojing(College of Mechanical Engineering ,Liaoning Technical University,Fuxin,Liaoning,123000)
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2019年第16期1976-1981,共6页
China Mechanical Engineering
基金
国家高技术研究发展计划(863计划)资助项目(2013AA06A412)
国家自然科学基金资助项目(51304107)
辽宁省教育厅创新团队资助项目(LT2013009)
辽宁省煤矿液压技术与装备工程研究中心开放基金资助项目(CMHT-201206)
关键词
掘支锚联合机组
支撑油缸
弹簧刚度
动态特性
多目标优化
excavation and anchor combined unit
support cylinder
spring stiffness
dynamic characteristics
multi-objective optimization
