Thermal performance of fired and unfired earth bricks walls

Bruno, Agostino Walter; Gallipoli, Domenico; Perlot, Céline; Kallel, Hatem

doi:10.1016/j.jobe.2019.101017

Cited by 32 publications

(24 citation statements)

References 36 publications

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“…4 shows the good capability of the model of reproducing the thermal conductivity of earth materials compacted at very high dry densities up to 2310 kg/m 3 and equalised to a degree of saturation ranging from 0.346 up to 0.580. Note that the model validation against the data by Bruno et al [26] is not as strong as that of the other data sets and this is related to the limited number of thermal conductivity measurements. Nevertheless, it is still worth showing that the proposed model can correctly predict the thermal conductivity of geomaterials at a level of dry density up to 2310 kg/m 3 which is more common in soft rocks rather than compacted soils.…”

Section: Model Validationmentioning

confidence: 84%

“…The proposed thermal conductivity model has been validated against experimental data published by Hall and Allinson [23], Mansour et al [24], Song et al [25], Bruno et al [26] and Tang et al [5].…”

Section: Model Validationmentioning

confidence: 91%

“…Bruno et al [26] measured the moisture dependent thermal conductivity of earth samples composed by 0.4% of gravel, 40.4% of sand, 42.9% of silt and 16.3% of illitic clay hypercompacted at a pressure of 100 MPa at the optimum water content of 5.2%. More details on the hypercompaction procedure can be found in Bruno et al [29] and Bruno et al [30].…”

Section: Model Validationmentioning

confidence: 99%

“…4 together with the model prediction. Note that Bruno et al [26] did not measure the dry thermal conductivity dry , which is here extrapolated by assuming a linear relationship between the experimental moisturedependent thermal conductivity and the degree of saturation. Inspection of Fig.…”

Section: Model Validationmentioning

confidence: 99%

“…In particular, Tang et al [5] tested an MX80 bentonite from Wyoming and purchased from CETCO Europe Ltd. The tested bentonite has a liquid limit of 520% and a plastic index of 478%, thus attaining a very high plasticity compared with the soils tested by Hall and Allinson [23], Mansour et al [24], Song et al [25] and Bruno et al [26]. Tang et al [5] used the sensor KD2 from Decagon Devices Inc. to determine the thermal conductivity of the MX80 bentonite compacted at a dry density ranging from 1465 kg/m 3 up to 1801 kg/m 3 and equalised at a degree of saturation ranging from 0.29 up to 0.86.…”

Section: Model Validationmentioning

confidence: 99%

See 4 more Smart Citations

A Simple Thermal Conductivity Model for Unsaturated Geomaterials Accounting for Degree of Saturation and Dry Density

Bruno

Alamoudi

2020

Int. J. of Geosynth. and Ground Eng.

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This paper proposes a simple thermal conductivity model for geomaterials accounting for the combined effect of both degrees of saturation and dry density. The model only requires the determination of the thermal conductivity under dry conditions (i.e., at a degree of saturation equal to zero) and as little as two additional measurements of thermal conductivity performed at different levels of degree of saturation and dry density. The model is a function of only two fitting parameters, namely the moisture factor $${m}_{f}$$ m f and the density factor $${m}_{d}$$ m d . Despite its simplicity, the model can correctly predict the thermal conductivity of geomaterials and this has been validated against five sets of experimental data obtained on a very broad range of materials ranging from fine (e.g., bentonite) to coarser soils (e.g., a mix of gravel, coarse sand and silt) tested at different levels of degree of saturation and dry density. The paper also shows that the model can be applied to different engineering contexts such as (a) the thermal behaviour of earth materials used for building construction, (b) the thermal performance of bentonites employed for the storage of nuclear waste and (c) the estimation of the heat exchange in shallow geothermal reservoirs. Finally, the proposed model can be easily implemented in a finite element code to perform numerical simulations to study the heat transfer in unsaturated geomaterials.

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Section: Model Validationmentioning

confidence: 84%