CAJ | 학술논문

为了更加真实的反映岩土体整体特性主要力学参数的取值，以长春地铁某暗挖区间现场监测位移值为依据，通过敏感性分析，确定了该地区对地表变形影响最大的力学参数为弹性模量 E和内摩擦角φ，运用Madis GTS三维正算模型、BP神经网络模型组成的智能位移反分析系统对其进行了反分析。运用反分析得到的参数值进行数值模拟，将得到的监测断面位移值与实测值进行了对比，并根据断面的位移云图对隧道围岩的稳定性进行了评价，验证了反分析结果的合理性和准确性。
위료경가진실적반영암토체정체특성주요역학삼수적취치，이장춘지철모암알구간현장감측위이치위의거，통과민감성분석，학정료해지구대지표변형영향최대적역학삼수위탄성모량 E화내마찰각φ，운용Madis GTS삼유정산모형、BP신경망락모형조성적지능위이반분석계통대기진행료반분석。운용반분석득도적삼수치진행수치모의，장득도적감측단면위이치여실측치진행료대비，병근거단면적위이운도대수도위암적은정성진행료평개，험증료반분석결과적합이성화준학성。
In order to determine the value of the main mechanical parameters that could truely reflect the global property of rock and soil ,the mining section of Changchun subway was taken as the engineering background ,and it was confirmed that the mechanical parameters with the greatest impact on the surface deformation were the elasticity modulus E and in-ternal friction angle φ,based on the sensitivity analysis of the field monitoring displacement data .And then the intelli-gent displacement back analysis system formed by the Midas GTS 3D forward solution model and BP neural network was applied for the back analysis of these parameters .The new parameters obtained from the back analysis were used in the simulation analysis ,and the displacement value was calculated and then compared with the monitoring data .According to the displacement cloud picture of the section ,the stability of the tunnel surrounding rock was evaluated ,and the rational-ity and accuracy of the back analysis result was verified .