摘要
在水利工程隧道三维立体模型观测面设置测量标点,采用数码相机监测模型试验过程,通过数码图像识别监测物体变形前后标记点的变形数据。基于BP神经网路的图像识别,对某隧道施工开挖、加固过程进行三维地质力学模型试验,取得了满意的观测结果,为三维力学模型试验收敛变形观测提供了一种新方法。
The measurement punctuations in the observation surface of tunnel on water conservancy in the three-dimensional model are set up to use digital imaging to monitor the process of model experiments. Through the digital images, the deformation data of tags points of the objects before and after deformation is identified and monitored. In this article,this method has been applied to a large bifurcation tunnel excavation and analogical three-dimensional geomechanics model experiment study of reinforcement process, a satisfactory outcome of the observation, which is based on Back-Propagation network is achieved. It provides a new method for the convergence deformation observation of three-dimensional mechanical model.
出处
《水电能源科学》
北大核心
2009年第5期69-71,共3页
Water Resources and Power
基金
国家自然科学基金资助项目(40772173)
国家重点基础研究发展计划基金资助项目(2009CB724607)
教育部新世纪优秀人才支持计划基金资助项目(NCET-08-0336)
山东省自然科学基金资助项目(Y2007F52)
关键词
三维地质力学模型试验
施工过程模拟
BP神经网络
影像点集
3-D geo-mechanieal model test
construction process simulation
Back-Propagation network
image point set
