基于深度学习和随机场的临水基坑支护结构响应分析

Response analysis of supporting structure of foundation pit nearby water based on deep learning and random field

为得到临水基坑工程支护结构的响应,从而对支护结构安全性进行评价,考虑土体的空间变异性,建立临水基坑随机有限元模型,并将模型中参数符合随机场分布的特征单元图像化,构造多通道灰度图像数据,将其输入到构建的CNN网络中进行训练,对临水基坑随机有限元计算结果进行学习,并预测不同随机场参数的临水基坑变形响应,进而得到具有统计意义的临水基坑支护结构响应。结果表明,基于深度学习和随机场的临水基坑分析方法能够准确预测支护结构的响应概率分布。

To obtain the response of the supporting structure of the foundation pit nearby water and thus evaluate the safety of the supporting structure,this paper establishes a random finite element model of the foundation pit nearby water by considering the spatial variability of the soil.The paper also transforms the feature units whose parameters conform to the random field distribution in the model into images to construct multi-channel grayscale image data and inputs the data into the constructed convolutional neural network(CNN)for training.In addition,the paper studies the random finite element calculation results of the foundation pit nearby water,predicts the deformation responses of the foundation pit nearby water with different random field parameters,and then obtains the response of the supporting structure of the foundation pit nearby water with statistical significance.The results show that the analysis method of foundation pit nearby water based on deep learning and random field can predict the response probability distribution of the supporting structure accurately.