Your browser doesn't support javascript.
loading
Conceptual Model, Experiment and Numerical Simulation of Diaphragm Wall Leakage Detection Using Distributed Optical Fiber.
Wang, Jianxiu; Liu, Pengfei; Xue, Rui; Pan, Weiqiang; Cao, Ansheng; Long, Yanxia; Li, Huboqiang; Sun, Yuanwei.
Affiliation
  • Wang J; College of Civil Engineering, Tongji University, Shanghai 200092, China.
  • Liu P; Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Tongji University, Shanghai 200092, China.
  • Xue R; College of Civil Engineering, Tongji University, Shanghai 200092, China.
  • Pan W; College of Civil Engineering, Tongji University, Shanghai 200092, China.
  • Cao A; Shanghai Tunnel Engineering Company Co., Ltd., Shanghai 200082, China.
  • Long Y; College of Civil Engineering, Tongji University, Shanghai 200092, China.
  • Li H; College of Civil Engineering, Tongji University, Shanghai 200092, China.
  • Sun Y; College of Civil Engineering, Tongji University, Shanghai 200092, China.
Materials (Basel) ; 16(2)2023 Jan 06.
Article in En | MEDLINE | ID: mdl-36676296
ABSTRACT
Leakage in the diaphragm wall is difficult to detect in deep foundation pits. In this study, the conceptual model of active and passive thermal leak detection methods was proposed according to the occurrence of temperature field anomalies caused by seepage. Experiments were performed using a heating system and an optical fiber temperature measurement system to verify the thermal leakage detection systems. Numerical simulations were performed to understand the mechanism of the detecting method. Results indicated that the optical cable could detect the low-temperature anomaly in the active temperature field leak detection. The arrangement method of the leakage detection system was also presented in actual engineering.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Materials (Basel) Year: 2023 Document type: Article Affiliation country: China Publication country: CH / SUIZA / SUÍÇA / SWITZERLAND

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Materials (Basel) Year: 2023 Document type: Article Affiliation country: China Publication country: CH / SUIZA / SUÍÇA / SWITZERLAND