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铁道科学与工程学报

JOURNAL OF RAILWAY SCIENCE AND ENGINEERING

第11卷    第3期    总第59期    2014年6月

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文章编号:1672-7029(2014)03-0135-05
基于粒子群—有限差分耦合算法的隧道岩体力学参数反演
孙 斌

(中铁二十二局集团有限公司,北京 100043)

摘 要: 基于数值计算的优化反演技术发展受到优化算法特点的制约。FLAC2D在岩土工程专业软件的二次开发平台上,提出仿生智能优化算法—粒子群优化算法(PSO)与有限差分结合(FLAC2D)的耦合算法(PSO-FLAC2D)并编程。在隧道围岩物理力学参数反演应用中,该程序表现出反演参数不限、并行搜索、全局最优及稳定高效的优点,作为一种新的位移反演技术可为同类问题的研究提供借鉴和参考。

 

关键字: 粒子群优化算法;有限差分;数值计算;反演分析

Back analysis of physical and mechanical parameters of tunnel based on PSO-FLAC2D
SUN Bin

China Railway 22nd Construction Bureau Co., Ltd., Beijing 100043, China

Abstract:Development of optimization back analysis technology based on numerical simulation is restricted by optimization algorithm, thus a new method should be proposed to resolve this puzzling issue. In this paper, coupled algorithm PSO-FLAC2D was proposed and programmed in terms of secondary development technology. During the process of back analysis of physical and mechanical parameters of rock surrounding, the programme takes the advantages over unlimited parameters, parallel search and global optimization and stabilities. As a new technology to obtain displacement through back analysis, it could offer reference for similar engineering.

 

Key words: particle swarm optimization; finite difference; numerical simulation; back analysis

ISSN 1672-7029
CN 43-1423/U

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