摘要
介绍韩国高速铁路隧道安装的健康监测系统,提出基于检测数据诊断隧道衬砌可能破损的新系统识别方法。引入逆算法,即根据已知的形变数据和混凝土衬砌恒载,估计破损的程度和位置。对以刚度均减和裂缝概念为基础建立的两种模型进行效果和优劣比较。对理想化的隧道结构进行数学分析,并用检测数据中常用的白噪声对模型进行适应性研究。结果表明,基于刚度均减方法的模型1对白噪声相对不敏感,而以裂缝概念为基础的模型2由于受刚度减小的影响很小,易于现场应用。
A health monitoring system installed in the Korea High speed Rail tunnel is briefly explained in this paper and a new system identification method based on convergence measurement data is proposed to find (possible) damage in the tunnel liner. For this, an inverse problem in which deformation data and dead load of concrete lining are known a priori is introduced to estimate the degree and location of the damage. Models based on uniform reduction of stiffness and smeared crack concept are both employed to compare the (efficiency) and (relative) advantages of each model. Numerical analyses are performed on the idealized tunnel structure and the (effect) of white noise is also investigated to better understand the suitability of the proposed models. As a result, model 1 based on uniform stiffness (reduction) method is shown to be relatively insensitive to noise, while model 2 with the smeared crack concept is proven to be easily applied to the field situation since the effect of stiffness (reduction) is rather small.
出处
《中国铁道科学》
EI
CAS
CSCD
北大核心
2004年第3期21-26,共6页
China Railway Science
关键词
高速铁路
隧道
健康监测系统
衬砌
系统识别
破损检测
High-speed railway
Tunnel
Health monitoring system
Liner
System identification
Damage monitoring
