Determination of the Thermal Conductivity in Adobe With Several Models
The thermal conductivity of the earth materials conditions their ability as thermal isolator and its heating capacity, which has a direct impact on the energy consumption of the buildings built with these materials. Two original mathematical models have been developed (models MA-1 and MA-2) to calcu...
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description | The thermal conductivity of the earth materials conditions their ability as thermal isolator and its heating capacity, which has a direct impact on the energy consumption of the buildings built with these materials. Two original mathematical models have been developed (models MA-1 and MA-2) to calculate the effective thermal conductivity (λE) of adobes and their results have been compared with other models already known for other materials and with experimental measures done on adobes. The model MA-1 starts from the electric analogy of the transmission of heat in series and in parallel. The model MA-2 is obtained with a regression curve from experimental and literature values of λE in adobes. The λE in adobes has been measured by the thermal needle probe (TNP) procedure using 10 min as the measuring time. For dry adobes, with average environmental conditions of 19 °C and 41% of relative moisture, the values of λE measured were 0.80 W/(m·K) ± 10%. For natural hygroscopic moisture of 1.67% in the same environmental conditions, a λE of 0.90 W/(m·K) ± 10% was measured. Only five of the 18 models analyzed adjust to the values experimentally measured, and their precision depends on the values of λ of the components, which are obtained from the literature. Of the proposed models, the MA-1 fits for the values of the dry and wet material and with some determined values of the literature. The model MA-2 fits in all cases since it does not depend on the values of the literature but on the density of the material and its moisture content. |
doi_str_mv | 10.1115/1.4025560 |
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Two original mathematical models have been developed (models MA-1 and MA-2) to calculate the effective thermal conductivity (λE) of adobes and their results have been compared with other models already known for other materials and with experimental measures done on adobes. The model MA-1 starts from the electric analogy of the transmission of heat in series and in parallel. The model MA-2 is obtained with a regression curve from experimental and literature values of λE in adobes. The λE in adobes has been measured by the thermal needle probe (TNP) procedure using 10 min as the measuring time. For dry adobes, with average environmental conditions of 19 °C and 41% of relative moisture, the values of λE measured were 0.80 W/(m·K) ± 10%. For natural hygroscopic moisture of 1.67% in the same environmental conditions, a λE of 0.90 W/(m·K) ± 10% was measured. Only five of the 18 models analyzed adjust to the values experimentally measured, and their precision depends on the values of λ of the components, which are obtained from the literature. Of the proposed models, the MA-1 fits for the values of the dry and wet material and with some determined values of the literature. The model MA-2 fits in all cases since it does not depend on the values of the literature but on the density of the material and its moisture content.</description><identifier>ISSN: 0022-1481</identifier><identifier>EISSN: 1528-8943</identifier><identifier>DOI: 10.1115/1.4025560</identifier><identifier>CODEN: JHTRAO</identifier><language>eng</language><publisher>New York, NY: ASME</publisher><subject>Applied sciences ; Building structure ; Buildings. Public works ; Conduction ; Construction (buildings and works) ; Density ; Drying ; Earth structure ; Exact sciences and technology ; Heat transfer ; Mathematical models ; Moisture ; Moisture content ; Regression ; Thermal conductivity</subject><ispartof>Journal of heat transfer, 2014-03, Vol.136 (3)</ispartof><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a353t-738312cc2ba7f40826aa72baae0afcefb8812d9e9ff4fbb5e2bb0d88ccc1f0363</citedby><cites>FETCH-LOGICAL-a353t-738312cc2ba7f40826aa72baae0afcefb8812d9e9ff4fbb5e2bb0d88ccc1f0363</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902,38497</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28525702$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Mosquera, P</creatorcontrib><creatorcontrib>Cañas, I</creatorcontrib><creatorcontrib>Cid-Falceto, J</creatorcontrib><creatorcontrib>Marcos, F</creatorcontrib><title>Determination of the Thermal Conductivity in Adobe With Several Models</title><title>Journal of heat transfer</title><addtitle>J. Heat Transfer</addtitle><description>The thermal conductivity of the earth materials conditions their ability as thermal isolator and its heating capacity, which has a direct impact on the energy consumption of the buildings built with these materials. Two original mathematical models have been developed (models MA-1 and MA-2) to calculate the effective thermal conductivity (λE) of adobes and their results have been compared with other models already known for other materials and with experimental measures done on adobes. The model MA-1 starts from the electric analogy of the transmission of heat in series and in parallel. The model MA-2 is obtained with a regression curve from experimental and literature values of λE in adobes. The λE in adobes has been measured by the thermal needle probe (TNP) procedure using 10 min as the measuring time. For dry adobes, with average environmental conditions of 19 °C and 41% of relative moisture, the values of λE measured were 0.80 W/(m·K) ± 10%. For natural hygroscopic moisture of 1.67% in the same environmental conditions, a λE of 0.90 W/(m·K) ± 10% was measured. Only five of the 18 models analyzed adjust to the values experimentally measured, and their precision depends on the values of λ of the components, which are obtained from the literature. Of the proposed models, the MA-1 fits for the values of the dry and wet material and with some determined values of the literature. The model MA-2 fits in all cases since it does not depend on the values of the literature but on the density of the material and its moisture content.</description><subject>Applied sciences</subject><subject>Building structure</subject><subject>Buildings. Public works</subject><subject>Conduction</subject><subject>Construction (buildings and works)</subject><subject>Density</subject><subject>Drying</subject><subject>Earth structure</subject><subject>Exact sciences and technology</subject><subject>Heat transfer</subject><subject>Mathematical models</subject><subject>Moisture</subject><subject>Moisture content</subject><subject>Regression</subject><subject>Thermal conductivity</subject><issn>0022-1481</issn><issn>1528-8943</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNo9kE1LAzEQhoMoWKsHz172Iuhhaz672aNUq0LFgxWPIZud0JTtpibZQv-9kRZPwwzPPPC-CF0TPCGEiAcy4ZgKMcUnaEQElaWsOTtFI4wpLQmX5BxdxLjGmDDG6xGaP0GCsHG9Ts73hbdFWkGxXOWb7oqZ79vBJLdzaV-4vnhsfQPFt0ur4hN2EDLy7lvo4iU6s7qLcHWcY_Q1f17OXsvFx8vb7HFRaiZYKismGaHG0EZXlmNJp1pXedGAtTVgGykJbWuoreW2aQTQpsGtlMYYYjGbsjG6O3i3wf8MEJPauGig63QPfoiKVBWmdc1z6DG6P6Am-BgDWLUNbqPDXhGs_rpSRB27yuztUauj0Z0Nujcu_j9QKajI4szdHDgdN6DWfgh9TqtYxbio2S_h93GZ</recordid><startdate>20140301</startdate><enddate>20140301</enddate><creator>Mosquera, P</creator><creator>Cañas, I</creator><creator>Cid-Falceto, J</creator><creator>Marcos, F</creator><general>ASME</general><general>American Society of Mechanical Engineers</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>20140301</creationdate><title>Determination of the Thermal Conductivity in Adobe With Several Models</title><author>Mosquera, P ; Cañas, I ; Cid-Falceto, J ; Marcos, F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a353t-738312cc2ba7f40826aa72baae0afcefb8812d9e9ff4fbb5e2bb0d88ccc1f0363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Applied sciences</topic><topic>Building structure</topic><topic>Buildings. Public works</topic><topic>Conduction</topic><topic>Construction (buildings and works)</topic><topic>Density</topic><topic>Drying</topic><topic>Earth structure</topic><topic>Exact sciences and technology</topic><topic>Heat transfer</topic><topic>Mathematical models</topic><topic>Moisture</topic><topic>Moisture content</topic><topic>Regression</topic><topic>Thermal conductivity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mosquera, P</creatorcontrib><creatorcontrib>Cañas, I</creatorcontrib><creatorcontrib>Cid-Falceto, J</creatorcontrib><creatorcontrib>Marcos, F</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of heat transfer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mosquera, P</au><au>Cañas, I</au><au>Cid-Falceto, J</au><au>Marcos, F</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determination of the Thermal Conductivity in Adobe With Several Models</atitle><jtitle>Journal of heat transfer</jtitle><stitle>J. Heat Transfer</stitle><date>2014-03-01</date><risdate>2014</risdate><volume>136</volume><issue>3</issue><issn>0022-1481</issn><eissn>1528-8943</eissn><coden>JHTRAO</coden><abstract>The thermal conductivity of the earth materials conditions their ability as thermal isolator and its heating capacity, which has a direct impact on the energy consumption of the buildings built with these materials. Two original mathematical models have been developed (models MA-1 and MA-2) to calculate the effective thermal conductivity (λE) of adobes and their results have been compared with other models already known for other materials and with experimental measures done on adobes. The model MA-1 starts from the electric analogy of the transmission of heat in series and in parallel. The model MA-2 is obtained with a regression curve from experimental and literature values of λE in adobes. The λE in adobes has been measured by the thermal needle probe (TNP) procedure using 10 min as the measuring time. For dry adobes, with average environmental conditions of 19 °C and 41% of relative moisture, the values of λE measured were 0.80 W/(m·K) ± 10%. For natural hygroscopic moisture of 1.67% in the same environmental conditions, a λE of 0.90 W/(m·K) ± 10% was measured. Only five of the 18 models analyzed adjust to the values experimentally measured, and their precision depends on the values of λ of the components, which are obtained from the literature. Of the proposed models, the MA-1 fits for the values of the dry and wet material and with some determined values of the literature. The model MA-2 fits in all cases since it does not depend on the values of the literature but on the density of the material and its moisture content.</abstract><cop>New York, NY</cop><pub>ASME</pub><doi>10.1115/1.4025560</doi></addata></record> |
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subjects | Applied sciences Building structure Buildings. Public works Conduction Construction (buildings and works) Density Drying Earth structure Exact sciences and technology Heat transfer Mathematical models Moisture Moisture content Regression Thermal conductivity |
title | Determination of the Thermal Conductivity in Adobe With Several Models |
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