Experimental study on infrared characteristic recognition for water leakage of tunnel cracked lining

被引：0
|
作者：
Zheng A. [1 ,2 ]
He Z. [1 ]
Li J. [1 ]
Zhang R. [1 ,2 ]
Tan B. [1 ,2 ]
Huang F. [1 ,2 ]
机构：
[1] School of Civil Engineering, Chongqing Jiaotong University, Chongqing
[2] State Key Laboratory of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University, Chongqing
来源：
Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) | 2022年 / 52卷 / 01期
关键词：
Concrete lining; Crack form; Infrared characteristics; Temperature field; Tunnel water leakage;
D O I：
10.3969/j.issn.1001-0505.2022.01.014
中图分类号：
学科分类号：
摘要：
To investigate the influence of crack damage form and leakage speed on the infrared characteristics of tunnel lining leakage, a test device was developed to simulate the humidity, temperature and illumination environment of tunnel, and the infrared characteristics of tunnel leakage were systematically studied. The experimental results show that the defect form has an important influence on the geometric distribution of the seepage zone (especially near outlet hole). With the increase of the leakage rate, the control effect of the defect form on the geometric form of the seepage zone will decrease. The geometric shape and spatial position of the water outlet can be preliminarily determined by the geometric shape and the centroid function curve of the isotherm in the high temperature zone of the water leakage. In general, the areas of water leakage for different defect forms increase linearly with the water leakage rate. The conclusions provide a theoretical basis for the disease identification standard and rapid identification method in the infrared detection technology of tunnel water leakage. © 2022, Editorial Department of Journal of Southeast University. All right reserved.
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页码：109 / 116
页数：7
相关论文
共 18 条
  • [1] Gong X N, Guo P P., Prevention and mitigation methods for water leakage in tunnels and underground structures, China Journal of Highway and Transport, 34, 7, pp. 1-30, (2021)
  • [2] Dong F, Fang Q, Zhang D L, Et al., Analysis on defects of operational metro tunnels in Beijing, China Civil Engineering Journal, 50, 6, pp. 104-113, (2017)
  • [3] Gao C L, Zhou Z Q, Yang W M, Et al., Model test and numerical simulation research of water leakage in operating tunnels passing through intersecting faults, Tunnelling and Underground Space Technology, 94, (2019)
  • [4] Zhang J P, Wang P, Ge J Y, Et al., Test methods and influencing factors for asphalt pavement hydrops and icing thickness detection based on infrared technology, Journal of Southeast University (Natural Science Edition), 49, 6, pp. 1187-1192, (2019)
  • [5] (2015)
  • [6] Cheng S F, Huang H W., Monitoring methods of long-term water seepage in shield tunnel, Chinese Journal of Underground Space and Engineering, 10, 3, pp. 733-738, (2014)
  • [7] Lin C J, Wang X T, Li Y, Et al., Forward modelling and GPR imaging in leakage detection and grouting evaluation in tunnel lining, KSCE Journal of Civil Engineering, 24, 1, pp. 278-294, (2020)
  • [8] Huang H W, Li Q T, Zhang D M., Deep learning based image recognition for crack and leakage defects of metro shield tunnel, Tunnelling and Underground Space Technology, 77, pp. 166-176, (2018)
  • [9] Li J Z, Huang H W, Ma Y, Et al., Research on detection method of tunnel lining leakage water based on infrared thermal imaging technology, Journal of Highway and Transportation Research and Development (Applied Technology), 10, 8, pp. 223-225, (2014)
  • [10] Lu Z L, Zhu F L, Shi L, Et al., Automatic seepage detection in cable tunnels using infrared thermography, Measurement Science and Technology, 30, 11, (2019)
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