【作者】 庄盛珠；

【导师】 段云岭；

【作者基本信息】 清华大学 ， 水工结构工程， 2003， 硕士

【摘要】 隧洞安全监测是及时发现隧洞在施工、运行管理过程中可能出现的异常或隐患的重要手段。论文以隧洞工程为研究对象，应用光纤传感技术，实现了隧洞实时、在线监测。论文选题具有主重要的工程适用价值。论文主要完成如下工作：1. 建立了隧洞自动化安全监测系统，采用现代光纤传感技术和以太网络结构，形成一个中心站、三个监测站的分布式监测系统，替代原有的电测方案；2. 建立了隧洞在线监测与安全评估系统，采用面向对象的数据结构和三层结构的数据库应用系统，实现了数据装置底层接口直接访问；应用TCP/IP网络通信协议；基于TAPI建立了远程电话报警系统；3. 建立了隧洞段面计算模型，根据引滦隧洞已有的监测资料，采用统计和弹性力学的理论知识确定了围岩、衬砌、温度、内外水压以及钢筋应力的变化规律，建立了温度、内外水压以及围岩等主要荷载与衬砌测点之间的位移关系曲线，确定出隧洞的初始状态；4. 构造出自适应BP神经网络模型，同基本BP神经网络模型相比具有更好的收敛性；研究BP神经网络训练样本集的选择对结果的影响规律，对神经网络的应用具有一定的指导意义。5. 提出连续安全度的概念用以指示工程的运行状况，克服了传统运行管理中运行状况的孤立判断。论文方法新颖、研究深入，基于自适应BP神经网络技术的安全度的研究并在隧洞监测中作了首次尝试。更多还原

【Abstract】 Safety monitoring of the tunnel is one of the most important methods for finding the abnormality or potential failure during the service of the tunnel. In the tunnel construction, some device were built to monitor the stability of the surrounding rock. When the project was finished, the surrounding rock was stable and the main factors were temperature and water pressure. There are a lot of difference between construction and running of the tunnel. Up to now, many tunnels run without any monitoring. So it is significant to study the safety monitoring of the running-tunnel.The data collected from the new monitoring system indicate the increasement of the variable such as displacement. However, the initial status cannot be measured directly by device. And the current status equal to the sum of initial status and the increasement, which decides the safety degree of the tunnel. So it is important to calculate initial status.In this thesis, an on-line monitoring and safety evaluation system for the Yinluan Tunnel, a water divert tunnel with 20 years in service, is studied. Existing monitoring data obtained before 1990 are investigated first. Results shows that reinforced concrete lining of the tunnel is mainly affected by the temperature and the permeate water pressure between the lining and surrounding rock, and the effect of rock pressure is much smaller. Then the initial status is estimated and a safety degree model based on adaptive BP neural network is established.Because there are some faults in the back propagation algorithm, an adapt neural network is built and the rule of selection about the training pattern set is studied in this thesis.更多还原