Comparison of the Thermal Behaviour of the Asphaltic Concrete Facing Protected by the Reflective Surface and Reinforced Concrete, Case of the Bouhnifia Dam, Northwest Algeria

Chebbah, Lynda; Djemili, Lakhdar; Chiblak, Mohamed; Bouziane, Mohammed Tawfik

doi:10.1007/s13369-019-04333-4

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…Along with the measured room temperature, convection (convection coefficient 4 W/m 2 K) was considered on the top surface (emissivity or radiation does not affect the top cold surface). The bottom surface was subjected to heat; hence, both convection (convection coefficient 25 W/m 2 K) and radiation (0.8 assumed from the literature) were considered (Chebbah et al , 2020). The highest temperature observed on the slab bottom surface from the adiabatic experiment was considered as the boundary condition in Kelvin.…”

Section: Validation Analysis In Ansysmentioning

confidence: 99%

Thermal analysis of concrete slabs with insulating materials using ANSYS

Kumar²

2022

WJE

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Purpose This study aims to assess the efficacy of thermal analysis of concrete slabs by including different insulation materials using ANSYS. Regression equations were proposed to predict the thermal conductivity using concrete density. As these simulation and regression analyses are essential tools in designing the thermal insulation concretes with various densities, they sequentially reduce the associated time, effort and cost. Design/methodology/approach Two grades of concretes were taken for thermal analysis. They were designed by replacing the natural fine aggregates with thermal insulation aggregates: expanded polystyrene, exfoliated vermiculite and light expanded clay. Density, temperature difference, specific heat capacity, thermal conductivity and time were measured by conducting experiments. This data was used to simulate concrete slabs in ANSYS. Regression analysis was performed to obtain the relation between density and thermal conductivity. Finally, the quality of the predicted regression equations was assessed using root mean square error (RMSE), mean absolute error (MAE), integral absolute error (IAE) and normal efficiency (NE). Findings ANSYS analysis on concrete slabs accurately estimates the thermal behavior of concrete, with lesser error value ranges between 0.19 and 7.92%. Further, the developed regression equations proved accurate with lower values of RMSE (0.013 to 0.089), MAE (0.009 to 0.088); IAE (0.216 to 5.828%) and higher values of NE (94.16 to 99.97%). Originality/value The thermal analysis accurately simulates the experimental transfer of heat across the concrete slab. Obtained regression equations proved helpful while designing the thermal insulation concrete.

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Section: Validation Analysis In Ansysmentioning

confidence: 99%

Thermal analysis of concrete slabs with insulating materials using ANSYS

Kumar²

2022

WJE

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Experimental Study and Mechanism Analysis on Compression–Shear Behavior of Hydraulic Asphalt Concrete at Different Temperatures

Yu,

Yang,

Tang

et al. 2024

Journal of Testing and Evaluation

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Hydraulic asphalt concrete (HAC), typically employed as an impermeable structure in embankment dams, is increasingly recognized for its widespread engineering applications. However, investigations of the mechanical performance of HAC under combined compressive–shear stress remain limited, particularly given its temperature sensitivity. Therefore, this study investigates the mechanical behaviors of HAC under combined compressive–shear stress at diverse temperatures and normal compressive stresses. Specifically, the failure modes, stress–strain curves, peak shear stress, and strain of HAC under various temperatures and normal compressive stresses are obtained for analysis. Experimental results demonstrate that the combination of normal compressive stress and temperature induces changes in peak shear stress and correlated shear strain. Increased normal compressive stress results in vertical restriction and the emergence of horizontal cracks, with deformation amplifying at elevated temperatures. All failure modes of HAC under these conditions are absent of spalled fines and debris. It is observed that as the normal compressive stress increases, the peak shear stress progressively increases, whereas an increase in temperature yields a clear decrease in peak shear stress. The shear strength of HAC comprises the cohesion strength of the asphalt matrix and the interfacial adhesion strength between aggregates and asphalt. Finally, three modified compressive–shear failure criteria that exhibit good prediction accuracy are established for HAC at diverse temperatures. This research offers a theoretical reference for the future investigation and engineering application of HAC.

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Comparison of the Thermal Behaviour of the Asphaltic Concrete Facing Protected by the Reflective Surface and Reinforced Concrete, Case of the Bouhnifia Dam, Northwest Algeria

Cited by 2 publications

References 5 publications

Thermal analysis of concrete slabs with insulating materials using ANSYS

Thermal analysis of concrete slabs with insulating materials using ANSYS

Experimental Study and Mechanism Analysis on Compression–Shear Behavior of Hydraulic Asphalt Concrete at Different Temperatures

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