Recovery of microstructure properties: random variability of soil solid thermal conductivity

In this work, the complex microstructure of the soil solid, at the microscale, is modeled by prescribing the spatial variability of thermal conductivity coefficient to distinct soil separates. We postulate that the variation of thermal conductivity coefficient of each soil separate can be characteri...

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Main Authors: Stefaniuk Damian, Różański Adrian, Łydżba Dariusz
Format: Article
Language:English
Published: Sciendo 2016-03-01
Series:Studia Geotechnica et Mechanica
Subjects:
Online Access:http://www.degruyter.com/view/j/sgem.2016.38.issue-1/sgem-2016-0011/sgem-2016-0011.xml?format=INT
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spelling doaj-cc044057b0f6464e9d7aa26d32a2e22a2020-11-24T23:49:17ZengSciendoStudia Geotechnica et Mechanica0137-63652083-831X2016-03-013819910710.1515/sgem-2016-0011sgem-2016-0011Recovery of microstructure properties: random variability of soil solid thermal conductivityStefaniuk Damian0Różański Adrian1Łydżba Dariusz2Wrocław University of Science and Technology, Faculty of Civil Engineering, Wrocław, PolandWrocław University of Science and Technology, Faculty of Civil Engineering, Wrocław, PolandWrocław University of Science and Technology, Faculty of Civil Engineering, Wrocław, PolandIn this work, the complex microstructure of the soil solid, at the microscale, is modeled by prescribing the spatial variability of thermal conductivity coefficient to distinct soil separates. We postulate that the variation of thermal conductivity coefficient of each soil separate can be characterized by some probability density functions: fCl(λ), fSi(λ), fSa(λ), for clay, silt and sand separates, respectively. The main goal of the work is to recover/identify these functions with the use of back analysis based on both computational micromechanics and simulated annealing approaches. In other words, the following inverse problem is solved: given the measured overall thermal conductivities of composite soil find the probability density function f(λ) for each soil separate. For that purpose, measured thermal conductivities of 32 soils (of various fabric compositions) at saturation are used. Recovered functions f(λ) are then applied to the computational micromechanics approach; predicted conductivities are in a good agreement with laboratory results.http://www.degruyter.com/view/j/sgem.2016.38.issue-1/sgem-2016-0011/sgem-2016-0011.xml?format=INTsimulated annealingheat transferhomogenizationsaturated soil
collection DOAJ
language English
format Article
sources DOAJ
author Stefaniuk Damian
Różański Adrian
Łydżba Dariusz
spellingShingle Stefaniuk Damian
Różański Adrian
Łydżba Dariusz
Recovery of microstructure properties: random variability of soil solid thermal conductivity
Studia Geotechnica et Mechanica
simulated annealing
heat transfer
homogenization
saturated soil
author_facet Stefaniuk Damian
Różański Adrian
Łydżba Dariusz
author_sort Stefaniuk Damian
title Recovery of microstructure properties: random variability of soil solid thermal conductivity
title_short Recovery of microstructure properties: random variability of soil solid thermal conductivity
title_full Recovery of microstructure properties: random variability of soil solid thermal conductivity
title_fullStr Recovery of microstructure properties: random variability of soil solid thermal conductivity
title_full_unstemmed Recovery of microstructure properties: random variability of soil solid thermal conductivity
title_sort recovery of microstructure properties: random variability of soil solid thermal conductivity
publisher Sciendo
series Studia Geotechnica et Mechanica
issn 0137-6365
2083-831X
publishDate 2016-03-01
description In this work, the complex microstructure of the soil solid, at the microscale, is modeled by prescribing the spatial variability of thermal conductivity coefficient to distinct soil separates. We postulate that the variation of thermal conductivity coefficient of each soil separate can be characterized by some probability density functions: fCl(λ), fSi(λ), fSa(λ), for clay, silt and sand separates, respectively. The main goal of the work is to recover/identify these functions with the use of back analysis based on both computational micromechanics and simulated annealing approaches. In other words, the following inverse problem is solved: given the measured overall thermal conductivities of composite soil find the probability density function f(λ) for each soil separate. For that purpose, measured thermal conductivities of 32 soils (of various fabric compositions) at saturation are used. Recovered functions f(λ) are then applied to the computational micromechanics approach; predicted conductivities are in a good agreement with laboratory results.
topic simulated annealing
heat transfer
homogenization
saturated soil
url http://www.degruyter.com/view/j/sgem.2016.38.issue-1/sgem-2016-0011/sgem-2016-0011.xml?format=INT
work_keys_str_mv AT stefaniukdamian recoveryofmicrostructurepropertiesrandomvariabilityofsoilsolidthermalconductivity
AT rozanskiadrian recoveryofmicrostructurepropertiesrandomvariabilityofsoilsolidthermalconductivity
AT łydzbadariusz recoveryofmicrostructurepropertiesrandomvariabilityofsoilsolidthermalconductivity
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