CAJ | 학술논문

通过重构非线性惯性权重函数和引入“加速因子”,对传统粒子群优化算法的收敛性进行改进.同时基于消息传递平台对算法进行主从式并行改进,编程实现基于普通计算机机群系统分布式存储并行模式的大型地下工程并行优化反演分析.算例分析表明,改进的粒子群优化算法其收敛性能得到显著改善,并行改进策略可显著加快反演速度和提高计算效率.探讨围岩松动损伤劣化、监测数据可靠性、并行粒度和负载均衡等并行优化反演分析中所面临的主要问题及其对计算精度和效率的影响,并提出有效解决方案,为大型地下工程的参数反演和动态优化设计提供一种新思路.
통과중구비선성관성권중함수화인입“가속인자”,대전통입자군우화산법적수렴성진행개진.동시기우소식전체평태대산법진행주종식병행개진,편정실현기우보통계산궤궤군계통분포식존저병행모식적대형지하공정병행우화반연분석.산례분석표명,개진적입자군우화산법기수렴성능득도현저개선,병행개진책략가현저가쾌반연속도화제고계산효솔.탐토위암송동손상열화、감측수거가고성、병행립도화부재균형등병행우화반연분석중소면림적주요문제급기대계산정도화효솔적영향,병제출유효해결방안,위대형지하공정적삼수반연화동태우화설계제공일충신사로.
@@@@The conventional particle swarm optimization is improved by composing a nonlinear inertia weight function and importing in an acceleration factor,which can enhance the convergence and efficiency of computation. At the same time,the improved particle swarm optimization is improved again by message passing interface(MPI)-based master-slave parallel framework. The back analysis process of large-scale underground engineering which based on the ordinary computer fleet system distributed-storage parallel mode is compiled with Fortran language. According to distributed-memory parallel mode,the parallel computation can be conducted and completed using computer cluster networks;thus considerably reduce the cost and enhance the efficiency of computation. The results indicate that the improved particle swarm optimization is efficient. Moreover,the influences of excavation damage of surrounding rock mass,reliability of measured data,parallel granularity and load balance on computational efficiency and accuracy of back analysis in underground engineering are briefly discussed. The proposed improved method and the rational recommendations provide the back analysis of parameters and dynamic optimal design of underground engineering with a new idea.