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...
| Main Authors: | , , |
|---|---|
| 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 |
| _version_ | 1818511351004266496 |
|---|---|
| author | Stefaniuk Damian Różański Adrian Łydżba Dariusz |
| author_facet | Stefaniuk Damian Różański Adrian Łydżba Dariusz |
| author_sort | Stefaniuk Damian |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-10T23:32:08Z |
| format | Article |
| id | doaj.art-cc044057b0f6464e9d7aa26d32a2e22a |
| institution | Directory Open Access Journal |
| issn | 0137-6365 2083-831X |
| language | English |
| last_indexed | 2024-12-10T23:32:08Z |
| publishDate | 2016-03-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Studia Geotechnica et Mechanica |
| spelling | doaj.art-cc044057b0f6464e9d7aa26d32a2e22a2022-12-22T01:29:20ZengSciendoStudia 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 |
| 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 |
| title | 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_short | Recovery of microstructure properties: random variability of soil solid thermal conductivity |
| title_sort | recovery of microstructure properties random variability of soil solid thermal conductivity |
| 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 |