iMatTOUGH: An open-source Matlab-based graphical user interface for pre- and post-processing of TOUGH2 and iTOUGH2 models

Tran, Anh Phuong; Dafflon, Baptiste; Hubbard, Susan S.

doi:10.1016/j.cageo.2016.02.006

Cited by 7 publications

(2 citation statements)

References 7 publications

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“…It also supports various boundary conditions and initial value settings, allowing for flexible adjustment of simulation settings to accommodate the characteristics of water flow in unsaturated concrete. In recent years, TOUGH2 has been successfully applied in various research disciplines, including carbon storage, environmental remediation, hydrology, geothermal energy, landfilling, nuclear waste, nutrient cycling, and oil and gas, among others [31].…”

Section: Numerical Simulationmentioning

confidence: 99%

Prediction of Wet Area of Underwater Tunnel Lining

Lai,

Zhang,

2024

Buildings

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The issue of water seepage poses a significant challenge in tunnel infrastructure. Wet areas are commonly used to evaluate the degree of water seepage in tunnel projects. To investigate the feasibility for numerical simulation to predict a wet area, we selected concrete test blocks with two types of defects—holes and cracks—as the research specimens. Numerical models for various seepage conditions were constructed using TOUGH2, and the results were validated through laboratory experiments. Additionally, the Shenjiamen Subsea Tunnel was simplified into a numerical model, employing TOUGH2 to forecast its future wet area performance within the scope of national standards. The outcomes of our research revealed that point seepage and line seepage exhibited circular and elliptical morphologies, respectively. Moreover, external water pressure and defect size exerted a significant influence on the expansion of the wet area. Notably, the impact of crack width surpassed that of hole diameter. Encouragingly, the numerical models generated using TOUGH2 for unsaturated concrete demonstrated excellent agreement with laboratory test results concerning the geometry, size, and pattern of the wet area. These findings signified the potential of TOUGH2 numerical simulation as a valuable tool in predicting the lifespan of tunnels.

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Section: Numerical Simulationmentioning

confidence: 99%

Prediction of Wet Area of Underwater Tunnel Lining

Lai,

Zhang,

2024

Buildings

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“…The initial conditions were derived from the measured data at the beginning of the simulation period. For more detailed information about initial and boundary conditions, we refer to Tran et al (2016).…”

Section: Study Site and Datasetsmentioning

confidence: 99%

Quantifying shallow subsurface water and heat dynamics using coupled hydrological-thermal-geophysical inversion

Tran

Dafflon

Hubbard

et al. 2016

Hydrol. Earth Syst. Sci.

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Abstract. Improving our ability to estimate the parameters that control water and heat fluxes in the shallow subsurface is particularly important due to their strong control on recharge, evaporation and biogeochemical processes. The objectives of this study are to develop and test a new inversion scheme to simultaneously estimate subsurface hydrological, thermal and petrophysical parameters using hydrological, thermal and electrical resistivity tomography (ERT) data. The inversion scheme -which is based on a nonisothermal, multiphase hydrological model -provides the desired subsurface property estimates in high spatiotemporal resolution. A particularly novel aspect of the inversion scheme is the explicit incorporation of the dependence of the subsurface electrical resistivity on both moisture and temperature. The scheme was applied to synthetic case studies, as well as to real datasets that were autonomously collected at a biogeochemical field study site in Rifle, Colorado. At the Rifle site, the coupled hydrological-thermal-geophysical inversion approach well predicted the matric potential, temperature and apparent resistivity with the Nash-Sutcliffe efficiency criterion greater than 0.92. Synthetic studies found that neglecting the subsurface temperature variability, and its effect on the electrical resistivity in the hydrogeophysical inversion, may lead to an incorrect estimation of the hydrological parameters. The approach is expected to be especially useful for the increasing number of studies that are taking advantage of autonomously collected ERT and soil measurements to explore complex terrestrial system dynamics.

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