Energy geotechnics: Advances in subsurface energy recovery, storage, exchange, and waste management

McCartney, John S.; Sánchez, Marcelo; Tomac, Ingrid

doi:10.1016/j.compgeo.2016.01.002

Cited by 90 publications

(25 citation statements)

References 287 publications

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“…The thermal volume change behavior of saturated and unsaturated soils has gained interest in geotechnical engineering in recent years due to a wide range of applications involving temperature fluctuations [29]. Examples of such applications include energy piles [5,27,32], thermally-active soil embankments [12], thermally-active retaining walls [2,40], and radioactive waste storage systems [20], among others.…”

Section: Introductionmentioning

confidence: 99%

Thermal volume change of poorly draining soils I: Critical assessment of volume change mechanisms

Coccia

McCartney

2016

Computers and Geotechnics

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a b s t r a c tThe thermal volume change of soils is typically interpreted using the stress history and changes in yield stress with temperature (thermal softening). However, the path followed to reach a given stress state may lead to different thermal volume changes. Alternative mechanisms of thermal volume change are explored using data from the literature and isotropic, drained heating tests on compacted silt. No relationship between thermal volume change and degree of saturation was observed. However, a clear relationship with the secondary compression prior to heating was observed, indicating that thermally accelerated creep may provide better thermal volume change predictions than thermal softening.

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Section: Introductionmentioning

confidence: 99%

Thermal volume change of poorly draining soils I: Critical assessment of volume change mechanisms

Coccia

McCartney

2016

Computers and Geotechnics

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“…Thermal properties of sand, especially, the Effective Thermal Conductivity (ETC), is of importance in many engineering and scientific applications and investigations [1][2][3]. The ETC of sand is influenced by the environmental factors: water content, density, temperature, etc.…”

Section: Introductionmentioning

confidence: 99%

Soft and hard computation methods for estimation of the effective thermal conductivity of sands

et al. 2020

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Thermal properties of sand are of importance in numerous engineering and scientific applications ranging from energy storage and transportation infrastructures to underground construction. All these applications require knowledge of the effective thermal parameters for proper operation. The traditional approaches for determination of the effective thermal property, such as the thermal conductivity are based on very costly, tedious and time-consuming experiments. The recent developments in computer science have allowed the use of soft and hard computational methods to compute the effective thermal conductivity (ETC). Here, two computation methods are presented based on soft and hard computing approaches, namely, the deep neural network (DNN) and the thermal lattice element method (TLEM), respectively, to compute the ETC of sands with varying porosity and moisture content values. The developed models are verified and validated with a small data set reported in the literature. The computation results are compared with the experiments, and the numerical results are found to be within reasonable error bounds. The deep learning method offers fast and robust implementation and computation, even with a small data set due to its superior backpropagation algorithm. However, the TLEM based on micro and meso physical laws outperforms it at accuracy.

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“…The thermal conductivity of geomaterials is a key parameter in the design of many geotechnical engineering systems, including pavement systems in permafrost (Farouki 1981;Humphrey and Eaton 1995;Bosscher et al 1997), crude oil pipelines in cold regions (Bai and Niedzwecki 2014), deep radioactive waste repositories (Tang et al 2008), protection of landfill liners in cold regions (Benson and Olson 1996), geothermal heat exchangers (McCartney et al 2016;Wang et al 2016), geothermal energy storage systems (Baser et al 2018), and energy piles (Loveridge and Powrie 2013). In some of the applications listed above, such as those involving geothermal heat exchangers, geomaterials with higher thermal conductivity are expected to have greater heat transfer efficiency and improved performance.…”

Section: Introductionmentioning

confidence: 99%

Thermal Conductivity of Sand–Tire Shred Mixtures

Xiao

Nan

McCartney

2019

J. Geotech. Geoenviron. Eng.

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Sand-tire shred mixtures are useful as thermal backfills due to their lower unit weight and thermal conductivity than those of most soils. In this study, a series of thermal conductivity tests on sand-tire shred mixtures and pure sand were performed to investigate the effects of volumetric mixing ratio and tire shred particle size. A volumetric mixing ratio of 40% was found to yield the greatest decrease in thermal conductivity from that of pure sand, with a maximum percent difference of 72%. Using tire shreds with larger relative size ratio was found to result in higher thermal conductivity, and the maximum variation in the thermal conductivity percent difference with the relative size ratio can reach about 20% at a volumetric mixing ratio of 40%. An empirical model proposed to predict of the thermal conductivity of quartz sand-tire shred mixtures could capture trends in the experimental data.

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Energy geotechnics: Advances in subsurface energy recovery, storage, exchange, and waste management

Cited by 90 publications

References 287 publications

Thermal volume change of poorly draining soils I: Critical assessment of volume change mechanisms

Thermal volume change of poorly draining soils I: Critical assessment of volume change mechanisms

Soft and hard computation methods for estimation of the effective thermal conductivity of sands

Thermal Conductivity of Sand–Tire Shred Mixtures

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