Theoretical and computational modeling of thermal properties of lightweight concrete
<p dir="ltr">There is an increasing interest in developing and utilizing lightweight concrete (LWC) due to its environmental, structural, and economic benefits. In addition, replacing natural sand with lightweight particles has a direct positive impact on the thermal properties of th...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , , |
| منشور في: |
2021
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1864513553293115392 |
|---|---|
| author | Ayman Karaki (14779591) |
| author2 | Malek Mohammad (17150977) Eyad Masad (14153484) Marwan Khraisheh (15842653) |
| author2_role | author author author |
| author_facet | Ayman Karaki (14779591) Malek Mohammad (17150977) Eyad Masad (14153484) Marwan Khraisheh (15842653) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ayman Karaki (14779591) Malek Mohammad (17150977) Eyad Masad (14153484) Marwan Khraisheh (15842653) |
| dc.date.none.fl_str_mv | 2021-12-03T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.csite.2021.101683 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Theoretical_and_computational_modeling_of_thermal_properties_of_lightweight_concrete/24314248 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Fluid mechanics and thermal engineering Mechanical engineering Lightweight concrete Expanded perlite Thermal conductivity Analytical models Thermal simulation Micro-computed tomography |
| dc.title.none.fl_str_mv | Theoretical and computational modeling of thermal properties of lightweight concrete |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">There is an increasing interest in developing and utilizing lightweight concrete (LWC) due to its environmental, structural, and economic benefits. In addition, replacing natural sand with lightweight particles has a direct positive impact on the thermal properties of the concrete mix. While there are many experimental studies available on the thermal properties of LWC, limited predictive capabilities exist. In this work, we examine a number of analytical models and assess their capabilities of predicting the effective thermal conductivity (ETC) of LWC mixtures. Six different mixtures were prepared by replacing 0%, 20%, 40%, 60%, 80%, and 100% of natural sand by volume with expanded perlite (EP) aggregate. Experimental measurements were conducted to evaluate their thermal conductivities (TC), thermal diffusivities, and volumetric heat capacities. In addition, X-ray computed tomography (CT) images coupled with numerical simulations were employed to perform microstructure analysis and numerical simulations of the ETC. This paper presents a comparison between the experimental and analytical results, and it discusses the predictive capabilities of the analytical models. Experimentally, the use of EP reduced the ETC from 1.81 <i>W. m</i><sup><em>-1</em></sup><i>. K</i><sup><em>-1</em></sup> at 0% EP to 0.688 <i>W. m</i><sup><em>-1</em></sup><i>. K</i><sup><em>-1</em></sup> at 100% EP. Among the analytical models, the Woodside & Messmer model exhibited the best prediction of the experimental data with a maximum error of 18.7%. The numerical simulations provided predictions of the ETC at 0%, 60%, and 100% EP with an error up to 10.5%. Based on the concerned application, the incorporated EP percentage can be optimized emanate on the relationship between ETC and the unit weight of LWC. The analytical Woodside & Messmer model and the numerical simulations using of X-ray CT images model can be used in the design of LWC mixtures with desired thermal properties.</p><h2>Other Information</h2><p dir="ltr">Published in: Case Studies in Thermal Engineering<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.csite.2021.101683" target="_blank">https://dx.doi.org/10.1016/j.csite.2021.101683</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_801e83da4023fdc8df5b0e431838d164 |
| identifier_str_mv | 10.1016/j.csite.2021.101683 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24314248 |
| publishDate | 2021 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Theoretical and computational modeling of thermal properties of lightweight concreteAyman Karaki (14779591)Malek Mohammad (17150977)Eyad Masad (14153484)Marwan Khraisheh (15842653)EngineeringFluid mechanics and thermal engineeringMechanical engineeringLightweight concreteExpanded perliteThermal conductivityAnalytical modelsThermal simulationMicro-computed tomography<p dir="ltr">There is an increasing interest in developing and utilizing lightweight concrete (LWC) due to its environmental, structural, and economic benefits. In addition, replacing natural sand with lightweight particles has a direct positive impact on the thermal properties of the concrete mix. While there are many experimental studies available on the thermal properties of LWC, limited predictive capabilities exist. In this work, we examine a number of analytical models and assess their capabilities of predicting the effective thermal conductivity (ETC) of LWC mixtures. Six different mixtures were prepared by replacing 0%, 20%, 40%, 60%, 80%, and 100% of natural sand by volume with expanded perlite (EP) aggregate. Experimental measurements were conducted to evaluate their thermal conductivities (TC), thermal diffusivities, and volumetric heat capacities. In addition, X-ray computed tomography (CT) images coupled with numerical simulations were employed to perform microstructure analysis and numerical simulations of the ETC. This paper presents a comparison between the experimental and analytical results, and it discusses the predictive capabilities of the analytical models. Experimentally, the use of EP reduced the ETC from 1.81 <i>W. m</i><sup><em>-1</em></sup><i>. K</i><sup><em>-1</em></sup> at 0% EP to 0.688 <i>W. m</i><sup><em>-1</em></sup><i>. K</i><sup><em>-1</em></sup> at 100% EP. Among the analytical models, the Woodside & Messmer model exhibited the best prediction of the experimental data with a maximum error of 18.7%. The numerical simulations provided predictions of the ETC at 0%, 60%, and 100% EP with an error up to 10.5%. Based on the concerned application, the incorporated EP percentage can be optimized emanate on the relationship between ETC and the unit weight of LWC. The analytical Woodside & Messmer model and the numerical simulations using of X-ray CT images model can be used in the design of LWC mixtures with desired thermal properties.</p><h2>Other Information</h2><p dir="ltr">Published in: Case Studies in Thermal Engineering<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.csite.2021.101683" target="_blank">https://dx.doi.org/10.1016/j.csite.2021.101683</a></p>2021-12-03T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.csite.2021.101683https://figshare.com/articles/journal_contribution/Theoretical_and_computational_modeling_of_thermal_properties_of_lightweight_concrete/24314248CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/243142482021-12-03T00:00:00Z |
| spellingShingle | Theoretical and computational modeling of thermal properties of lightweight concrete Ayman Karaki (14779591) Engineering Fluid mechanics and thermal engineering Mechanical engineering Lightweight concrete Expanded perlite Thermal conductivity Analytical models Thermal simulation Micro-computed tomography |
| status_str | publishedVersion |
| title | Theoretical and computational modeling of thermal properties of lightweight concrete |
| title_full | Theoretical and computational modeling of thermal properties of lightweight concrete |
| title_fullStr | Theoretical and computational modeling of thermal properties of lightweight concrete |
| title_full_unstemmed | Theoretical and computational modeling of thermal properties of lightweight concrete |
| title_short | Theoretical and computational modeling of thermal properties of lightweight concrete |
| title_sort | Theoretical and computational modeling of thermal properties of lightweight concrete |
| topic | Engineering Fluid mechanics and thermal engineering Mechanical engineering Lightweight concrete Expanded perlite Thermal conductivity Analytical models Thermal simulation Micro-computed tomography |