为确定试点边缘到试验洞侧壁距离和试点中心到测量支架支点距离达不到刚性承压板试验规范要求条件下的变形模量,在利用FLAC3D数值模拟探究了两者对试验结果的影响规律之后,基于FLAC3D数值模拟获得的变形模量与位移关系学习样本,利用PSO-LSSVM模型的学习和预测能力,发展了一种非标准条件下获得变形模量的反演分析方法,并将其应用于某工程实例中,结果表明:试点边缘到试验洞侧壁距离和试点中心到测量支架支点距离都会引起试验的变形误差,且两者的误差随距离的增大以不同速率减小。优化反演确定的岩体变形模量为 GPa,平均值2.30 GPa,其对应的变形误差平均为0.1%,表明该结果是准确合理的,该方法为解决特殊条件下的承压板变形试验成果计算提供了一种新的思路。

The aim of this study is to determine the deformation modulus under two circumstances: the distance from the edge of bearing plate to the sidewall of test tunnel and the distance from the center of bearing plate to the fulcrum of measuring support cannot meet the requirements of specification for rigid bearing plate test. The influence regularity of the two circumstances on test results was investigated first by using FLAC3D numerical simulation, and the learning samples of the relationship between deformation modulus and displacement were obtained. On this basis, an inverse analysis method for obtaining deformation modulus under non-standard conditions was developed based on the learning and prediction ability of PSO-LSSVM model. The inversion analysis method was applied to an engineering example. Results suggest that the distance from the edge of bearing plate to the sidewall of test tunnel and the distance from the center of bearing plate to the fulcrum of measuring support would both lead to deformation error, and the errors under the two circumstances would decrease at different rates with the increase of the distance. The deformation modulus of rock mass determined by the optimization inversion is GPa, with an average value of 2.30 GPa and a corresponding deformation error of 0.1%. The result is accurate and reasonable, and the proposed method provides a new idea for calculating deformation results of bearing plate test under special conditions.