電阻層析成像模塊應用案例-基于生成對抗網絡的地鐵盾構超前探測方法研究

電阻層析成像模塊

　　基于生成對抗網絡的地鐵盾構超前探測方法研究

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

　　背景介紹

　　Background

　　盾構機（簡稱TBM）以其施工安全的gao xiao特點被廣泛應用于地鐵隧道建設中，TBM施工過程中經常會出現預料不到的塌方、突涌水等地質災害，這嚴重影響工程的進展，增加工程的造價。本文案采用聚焦直流電法超前探測技術，以TBM前方不良地質體的反演成像作為目標，引入生成對抗網絡算法 。

　　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

　　關鍵技術1：聚焦直流電法盾構超前探測技術

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

　　關鍵技術2：二維有限元正演模擬

　　Two-dimensional finite element forward simulatio

　　關鍵技術3：基于相似性原理的物理模型實驗

　　Physical model experiments based on the principle of similarity