电阻层析成像模块应用案例-基于生成对抗网络的地铁盾构超前探测方法研究

电阻层析成像模块

　　基于生成对抗网络的地铁盾构超前探测方法研究

　　Research on Advanced Detection Method of Metro Shield Machine Based on Generative Adversarial Networks

　　背景介绍

　　Background

　　盾构机（简称TBM）以其施工安全的gao xiao特点被广泛应用于地铁隧道建设中，TBM施工过程中经常会出现预料不到的塌方、突涌水等地质灾害，这严重影响工程的进展，增加工程的造价。本文案采用聚焦直流电法超前探测技术，以TBM前方不良地质体的反演成像作为目标，引入生成对抗网络算法 。

　　Shield boring machine (TBM) is widely used in subway tunnel construction with its safe and efficient construction characteristics, and unexpected geological disasters such as landslides and water inrushes often occur during TBM construction, which seriously affects the progress of the project and increases the cost of the project. In this paper, the advanced detection technology of focused direct current method is adopted, and the generative adversarial network algorithm is introduced by taking the inversion imaging of bad geological bodies in front of TBM as the goal

　　关键技术1：聚焦直流电法盾构超前探测技术

　　The focused direct current (DC) electrical method for advance detection in shield tunneling

　　关键技术2：二维有限元正演模拟

　　Two-dimensional finite element forward simulatio

　　关键技术3：基于相似性原理的物理模型实验

　　Physical model experiments based on the principle of similarity