Adiabatic Temperature Rise and Thermal Analysis of High-Performance Concrete Bridge Elements

Do, Tu Anh; Nguyen, Thuan Huu; Vu, Thanh Xuan; Hoang, Tuyet Thi; Tran, Tam Duc; Bui, Thanh T.

doi:10.1007/978-981-15-5144-4_36

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…ANSYS is a widespread finite element modeling software for solving different varieties of numerical problems. Solid 278 element having one degree of freedom at every node was used to model the concrete slab thermal properties in ANSYS software (Do et al , 2020). 3D thermal conduction features are included in SOLID278.…”

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%