Fracture seepage and the temperature field distribution of rocks surrounding high-temperature tunnels: a numerical analysis

Zhang, Ze; Wang, Shuhong; Yin, Hong Jun; Yang, Tianjiao; Wang, Pengyu

doi:10.1007/s40948-022-00403-4

Cited by 6 publications

(6 citation statements)

References 26 publications

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“…By substituting Equation (31) into Equation (27), a new Equation ( 32) is developed to describe the relationship between the heat transfer coefficient and the eddy volume fraction. Figure 19 shows the change in the total heat transfer coefficient of the 25 models in this study with the eddy volume fraction.…”

Section: Establishment and Verification Of Empirical Model Of Heat Tr...mentioning

confidence: 99%

“…Additionally, 2D models are unable to capture the cross-flow and thermal front in fractures. 31 To compensate for the deficiencies of 2D models, 3D models are adopted to study aperture heterogeneity, flow anisotropy, contact distribution, and other characteristics. However, these models are primarily formed by hypothetical fractures or artificially generated self-similar fractures, or they are derived through simply scanning and stretching methods.…”

Section: Introductionmentioning

confidence: 99%

“…Nonetheless, they cannot precisely reflect the heterogeneity of actual rough fractures, particularly the contact area and spatial changes induced by external forces, chemical, and heat transfer processes. Additionally, 2D models are unable to capture the cross‐flow and thermal front in fractures 31 …”

Section: Introductionmentioning

confidence: 99%

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Influence of normal stress‐induced three‐dimensional rough fracture aperture heterogeneity on nonlinear seepage‐heat transfer coupling processes

Zhang,

Wang,

Han

et al. 2023

Num Anal Meth Geomechanics

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A clear understanding of the dependence of the heat transfer process on the flow field in three‐dimensional (3D) rough fractures is crucial for many underground projects. In this study, 3D rough rock fractures with heterogeneous apertures and mechanical effects are established. Navier‐Stokes flow and local heat balance theory are used to simulate the seepage‐heat transfer coupling process. Five normal stresses and five flow velocities are set to quantify the influence of aperture variability on the flow field and heat transfer behavior of the fractures. The results show that the change in fracture aperture caused by normal stress is the direct cause of the nonlinear distribution of the flow field and temperature fluctuation. A quantitative parameter of temperature fluctuation degree in the fracture is proposed, which decreases exponentially with increasing fracture aperture and increases with greater flow velocity. An empirical model is established to describe the relationship between the heat transfer coefficient and the ratio of hydraulic aperture to mechanical aperture. The correctness of the model is verified by published seepage‐heat transfer coupling test results. The model is extended to establish the relationship between the heat transfer coefficient and the volume fraction of eddy. It is confirmed that the heat transfer coefficient increases with the augmentation of nonlinear flow, and the reason why the results of evaluating the heat transfer coefficient by roughness alone in related experiments are inconsistent is revealed. The results enhance the understanding of convective heat transfer characteristics in 3D rough rock fractures.

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Section: Establishment and Verification Of Empirical Model Of Heat Tr...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Influence of normal stress‐induced three‐dimensional rough fracture aperture heterogeneity on nonlinear seepage‐heat transfer coupling processes

Zhang,

Wang,

Han

et al. 2023

Num Anal Meth Geomechanics

Self Cite

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show abstract

“…However, despite the practical significance of research on coupling mechanisms, existing studies still have some deficiencies in theory and methodology. Current models often overlook the interaction between the temperature and seepage fields or simplify some key influencing factors in the simulation process [16][17][18], such as insufficient consideration of convective heat transfer, leading to inaccurate predictions of dam behavior under different environmental conditions [19][20][21]. Moreover, many studies use parameters and boundary conditions that are too idealized, differing from real operational environments, which limits the widespread application of the models and their predictive capabilities for actual effects.…”

Section: Introductionmentioning

confidence: 99%

Thermodynamic Analysis of Coupled Seepage and Thermal Conduction Effects in Earth-Rock Dams

Liu,

Wang,

Chen

2024

IJHT

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The stability of earth-rock dams is a critical factor in hydraulic engineering, directly impacting the safety of reservoirs and downstream regions. Seepage and thermal conduction, key physical processes influencing dam stability, are typically studied independently. However, as environmental changes become increasingly significant, the interaction between these processes-the coupling effect-cannot be overlooked. This paper delves into the coupled effects of seepage and thermal conduction in earth-rock dams, initially establishing a coupled control equation for the seepage and temperature fields. Subsequently, a numerical model for the seepage process under thermal conduction coupling effects is developed. Through precise simulation, this study aims to enhance the predictive capability of dam behavior under various environmental conditions, thereby providing a scientific basis for dam design and maintenance. The research identifies that existing models often neglect the impact of temperature on seepage characteristics and exhibit biases in parameter selection and boundary condition settings, leading to inaccurate simulations of dam behavior in complex environments. Therefore, the numerical model in this study, considering key parameters such as convective heat transfer coefficients, offers a more comprehensive assessment of the stability and functionality of earth-rock dams in real-world conditions.

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“…Their exploration results revealed that the temperature of the surrounding rock of a roadway decreases gradually, and the temperature rise of the air flow in a roadway is reduced during the process of water injection in rock strata. Zhang [32] investigated the effect of the seepage of cryogenic fluid on the surrounding rock temperature, and found that the fissure seepage can control the distribution of surrounding rock temperature in a high-temperature roadway. Nevertheless, the modeling process in numerical simulation always deviates from the actual situation on the spot, leading to unsatisfactory results.…”

Section: Introductionmentioning

confidence: 99%

Predicting Temperature and Humidity in Roadway with Water Trickling Using Principal Component Analysis-Long Short-Term Memory-Genetic Algorithm Method

Wu,

Jia,

Zhang

et al. 2023

Applied Sciences

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The heat dissipated from high geo-temperature underground surrounding rocks is the main heat source of working faces, while thermal water upwelling and trickling into the roadway will notably deteriorate the mine’s climate and thermal comfort. Predicting airflow temperature and relative humidity (RH) is conductive to intelligent control of air conditioning cooling and ventilation regulation. To accommodate this issue, an intelligent technique was proposed, integrating a genetic algorithm (GA) and long short-term memory (LSTM) based on rock temperature, inlet air temperature, water temperature, water flow rate, RH, and ventilation time. A total of 21 input features including over 200 pieces of data were collected from an independently developed modeling roadway to construct a dataset. Principal component analysis (PCA) was conducted to reduce features, and GA was used to tune the LSTM and PCA-LSTM architectures for best performance. The following research results were yielded. The proposed PCA-LSTM-GA model is more reliable and efficient than the single LSTM model or hybrid LSTM-GA model in predicting the air temperature Tfout and humidity RHout at the end of the water trickling roadway. The importance scores (ISs) indicate that Tfout is mainly influenced by the surrounding rock temperature (IS 0.661) and the inlet air temperature (IS 0.264). While RHout is primarily influenced by the rock temperature in the water trickling section (IS 0.577), the inlet air temperature (IS 0.187), and the trickling water temperature and flow rate (total IS 0.136), and it has an evident time effect. In addition, we developed relevant equipment and provided engineering practice methods to use the machine learning model. The proposed model, which can predict the mine microclimate, serves to facilitate coal and geothermal resource co-mining as well as thermal hazard control.

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Fracture seepage and the temperature field distribution of rocks surrounding high-temperature tunnels: a numerical analysis

Cited by 6 publications

References 26 publications

Influence of normal stress‐induced three‐dimensional rough fracture aperture heterogeneity on nonlinear seepage‐heat transfer coupling processes

Influence of normal stress‐induced three‐dimensional rough fracture aperture heterogeneity on nonlinear seepage‐heat transfer coupling processes

Thermodynamic Analysis of Coupled Seepage and Thermal Conduction Effects in Earth-Rock Dams

Predicting Temperature and Humidity in Roadway with Water Trickling Using Principal Component Analysis-Long Short-Term Memory-Genetic Algorithm Method

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