WU Zhi-wei, SONG Han-zhou. Numerical simulation of embankment dam seepage monitoring with temperature based on thermal-hydro coupling model[J]. 2015, 36(2): 584-590.
DOI:
WU Zhi-wei, SONG Han-zhou. Numerical simulation of embankment dam seepage monitoring with temperature based on thermal-hydro coupling model[J]. 2015, 36(2): 584-590.DOI: 10.16285/j.rsm.2015.02.039.
Numerical simulation of embankment dam seepage monitoring with temperature based on thermal-hydro coupling model
In order to implement the seepage monitoring with temperature in embankment dam with the popular distributed fiber optic temperature sensor system (DTS)
it’s necessary to study the background characteristics of temperature field. Herein
a saturated-unsaturated seepage field and temperature field coupling model (thermal-hydro coupling
i.e. T-H) is established. The model considers the heat convection-conduction-diffusion
as well as the boundary periodically fluctuation with atmosphere temperature. Some parameters are considered nonlinearly so that the result of simulation is closer to the true state of dam temperature field. For instance
the fluid viscosity is influenced by temperature and thermal conductivity is influenced by moisture
and so on. A clay core embankment dam is taken as a case study. It is shown that the temperature field within the dam has the characteristics of seasonal fluctuation
which is controlled by seepage and atmospheric temperature. Specifically
the heat from the reservoir controls the temperature variation of the saturated zone and the heat from atmosphere controls that of the unsaturated zone. If the core wall leaks
the temperature nearby will reduce as cold reservoir water flowing into. In this case
the distributed fiber sensors lying on the core wall can be used to detect spatial and temporal distributions of leakage. The conclusions are drawn as follows that the seepage monitoring with temperature is effective in theory. In the data analysis
particular attention should be paid to the temperature anomalies caused by atmosphere temperature.
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Related Author
YUAN Yun-hui
YANG Ping
JUANG Tian-qian
YI Jun
JIANG Yong-dong
XUAN Xue-fu
LUO Yun
ZHANG Yu
Related Institution
College of Civil Engineering, Nanjing Forestry University
Second Department of China Railway Tunneling Group Corporation
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Key Laboratory of Exploitation of Southwest Resources & Environmental Disaster Control Engineering, Ministry of Education, Chongqing University
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