相对位移反分析的DFP优化方法及其工程应用

DFP Method of Inverse Analysis Based on Relative Displacement and Its Engineering Application

洞室围岩的某些参数,如弹性模量、强度参数等,对地下洞室的施工和设计具有极其重要的作用,直接进行这些参数的现场测量势必要耗费大量的物资和精力,在这种背景下,位移反分析的工程应用具有很重要的理论和实用价值。但洞室工程中大量不确定性因素的存在使得监测结果不可避免地存在随机性,有时会使得变形监测结果产生较大的误差,甚至失真。因此以监测结果的绝对值所反演得到的参数可能是错误的。在这种情况下,以监测数据的相对值进行参数反演在一定程度上可以消除测量误差。基于相对位移的随机反分析法并结合DFP优化算法开发了基于相对位移的随机反分析法,将其应用于—具体洞室工程中反演其弹性模量取得了较为理想的效果。

Some parameters of the rock mass, such as elastic modulus, strength parameters, etc. ,are very important to underground tunnel design and construction. Lots of cost are needed if situ-test is done. In this situation, application of displacement inverse analysis theory is very important for real engineering. But unfortunately most uncertain factors cause unavoidable random result for field monitoring, sometimes cause mistake. Factors obtained by inverse analysis on absolute displacement value of situ-test may be error. Such error can be avoided by relative displacement inverse analysis method. In the paper stochastic inverse analysis based on relative displacement method is used in a underground tunnel to calculate elastic modulus factor, and obtained a quite good result.