Predicting the beech wood decay and strength loss in-ground
In the context of reduction of CO2 emissions and costs in the construction industry, substitution of concrete by wood for foundation piles seems to be a promising alternative. To promote the use of local wood in pile foundation, diagnostic and prediction methodology of wood decay in soil need to be...
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Veröffentlicht in: | International biodeterioration & biodegradation 2017-09, Vol.123, p.96-105 |
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creator | Kleindienst, Quentin Besserer, Arnaud Antoine, Marie-Laure Perrin, Christelle Bocquet, Jean-François Bléron, Laurent |
description | In the context of reduction of CO2 emissions and costs in the construction industry, substitution of concrete by wood for foundation piles seems to be a promising alternative. To promote the use of local wood in pile foundation, diagnostic and prediction methodology of wood decay in soil need to be improved. Outdoor mesocosm decay experiments were performed to evaluate the potential use of beech wood as foundation piles. The stochastic occurrence of soil fungal inoculum in contact with mini-stakes and water gradient in wood explained the observed patchy wood decay pattern. Various patterns of wood rotting fungi were identified. The correlation between measured strength loss and mass loss was weak. Multivariate analyses using biochemical and physico-chemical data as inputs allowed section categorizations and prediction of wood strength. Accuracy of the prediction was validated by experimental measurement of the compression parallel to the grain (fc,o). The categorization of unknown sections was computed by PLS-DA and provided clues inferring their service life. The described procedure has the potential to be transferred to on-site measurements to predict the fc,o of wood foundation pile or any potentially damaged timber structure.
•A detailed analysis of beech wood decay in ground was performed.•Stochastic occurrence of fungi explained patchy wood degradation.•Wood strength was accurately predicted from NIR spectra performed on timber samples.•A multivariate model to predict wood strength and infer its service life is proposed.•The procedure is easily transposable to on-site measurements. |
doi_str_mv | 10.1016/j.ibiod.2017.06.006 |
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•A detailed analysis of beech wood decay in ground was performed.•Stochastic occurrence of fungi explained patchy wood degradation.•Wood strength was accurately predicted from NIR spectra performed on timber samples.•A multivariate model to predict wood strength and infer its service life is proposed.•The procedure is easily transposable to on-site measurements.</description><identifier>ISSN: 0964-8305</identifier><identifier>EISSN: 1879-0208</identifier><identifier>DOI: 10.1016/j.ibiod.2017.06.006</identifier><language>eng</language><publisher>Barking: Elsevier Ltd</publisher><subject>Beech ; Beech wood in-ground ; Carbon dioxide ; Carbon dioxide emissions ; Compression ; Concrete ; Concrete construction ; Construction costs ; Construction industry ; Correlation analysis ; Decay ; Decay fungi ; Diagnostic systems ; Emissions ; Engineering Sciences ; Enzymatic activities ; Fungal degradation ; Grain ; Inoculum ; Materials ; Mechanical properties ; NIRS ; Piles ; Predictions ; Predictive model ; Service life ; Soil improvement ; Stochastic models ; Stochasticity ; Structural damage ; Studies ; Supports ; Wood</subject><ispartof>International biodeterioration & biodegradation, 2017-09, Vol.123, p.96-105</ispartof><rights>2017 Elsevier Ltd</rights><rights>Copyright Elsevier BV Sep 2017</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c402t-bfe46d2db8d81050d4a647bea035a5f9f6418580271c409b3b56cd039ed7eb603</citedby><cites>FETCH-LOGICAL-c402t-bfe46d2db8d81050d4a647bea035a5f9f6418580271c409b3b56cd039ed7eb603</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ibiod.2017.06.006$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://hal.science/hal-03120712$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Kleindienst, Quentin</creatorcontrib><creatorcontrib>Besserer, Arnaud</creatorcontrib><creatorcontrib>Antoine, Marie-Laure</creatorcontrib><creatorcontrib>Perrin, Christelle</creatorcontrib><creatorcontrib>Bocquet, Jean-François</creatorcontrib><creatorcontrib>Bléron, Laurent</creatorcontrib><title>Predicting the beech wood decay and strength loss in-ground</title><title>International biodeterioration & biodegradation</title><description>In the context of reduction of CO2 emissions and costs in the construction industry, substitution of concrete by wood for foundation piles seems to be a promising alternative. To promote the use of local wood in pile foundation, diagnostic and prediction methodology of wood decay in soil need to be improved. Outdoor mesocosm decay experiments were performed to evaluate the potential use of beech wood as foundation piles. The stochastic occurrence of soil fungal inoculum in contact with mini-stakes and water gradient in wood explained the observed patchy wood decay pattern. Various patterns of wood rotting fungi were identified. The correlation between measured strength loss and mass loss was weak. Multivariate analyses using biochemical and physico-chemical data as inputs allowed section categorizations and prediction of wood strength. Accuracy of the prediction was validated by experimental measurement of the compression parallel to the grain (fc,o). The categorization of unknown sections was computed by PLS-DA and provided clues inferring their service life. The described procedure has the potential to be transferred to on-site measurements to predict the fc,o of wood foundation pile or any potentially damaged timber structure.
•A detailed analysis of beech wood decay in ground was performed.•Stochastic occurrence of fungi explained patchy wood degradation.•Wood strength was accurately predicted from NIR spectra performed on timber samples.•A multivariate model to predict wood strength and infer its service life is proposed.•The procedure is easily transposable to on-site measurements.</description><subject>Beech</subject><subject>Beech wood in-ground</subject><subject>Carbon dioxide</subject><subject>Carbon dioxide emissions</subject><subject>Compression</subject><subject>Concrete</subject><subject>Concrete construction</subject><subject>Construction costs</subject><subject>Construction industry</subject><subject>Correlation analysis</subject><subject>Decay</subject><subject>Decay fungi</subject><subject>Diagnostic systems</subject><subject>Emissions</subject><subject>Engineering Sciences</subject><subject>Enzymatic activities</subject><subject>Fungal degradation</subject><subject>Grain</subject><subject>Inoculum</subject><subject>Materials</subject><subject>Mechanical properties</subject><subject>NIRS</subject><subject>Piles</subject><subject>Predictions</subject><subject>Predictive model</subject><subject>Service life</subject><subject>Soil improvement</subject><subject>Stochastic models</subject><subject>Stochasticity</subject><subject>Structural damage</subject><subject>Studies</subject><subject>Supports</subject><subject>Wood</subject><issn>0964-8305</issn><issn>1879-0208</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LxDAQhoMouK7-Ai8FTx5aJ22apoiHZfELFvSg55Am023K2qxJd2X_va0Vj54Ghvd5mXkIuaSQUKD8pk1sZZ1JUqBFAjwB4EdkRkVRxpCCOCYzKDmLRQb5KTkLoQUAmgs6I7evHo3Vve3WUd9gVCHqJvpyzkQGtTpEqjNR6D12676JNi6EyHbx2rtdZ87JSa02AS9-55y8P9y_LZ_i1cvj83KxijWDtI-rGhk3qamEERRyMExxVlSoIMtVXpc1Z1TkAtKCDkBZZVXOtYGsRFNgxSGbk-upt1EbufX2Q_mDdMrKp8VKjjvIaAoFTfd0yF5N2a13nzsMvWzdznfDeZKWHErBSjamsiml_fCRx_qvloIcjcpW_hiVo1EJXA5GB-puonB4dm_Ry6AtdnoQ6FH30jj7L_8NHgd9sQ</recordid><startdate>20170901</startdate><enddate>20170901</enddate><creator>Kleindienst, Quentin</creator><creator>Besserer, Arnaud</creator><creator>Antoine, Marie-Laure</creator><creator>Perrin, Christelle</creator><creator>Bocquet, Jean-François</creator><creator>Bléron, Laurent</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QL</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M7N</scope><scope>P64</scope><scope>1XC</scope></search><sort><creationdate>20170901</creationdate><title>Predicting the beech wood decay and strength loss in-ground</title><author>Kleindienst, Quentin ; Besserer, Arnaud ; Antoine, Marie-Laure ; Perrin, Christelle ; Bocquet, Jean-François ; Bléron, Laurent</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c402t-bfe46d2db8d81050d4a647bea035a5f9f6418580271c409b3b56cd039ed7eb603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Beech</topic><topic>Beech wood in-ground</topic><topic>Carbon dioxide</topic><topic>Carbon dioxide emissions</topic><topic>Compression</topic><topic>Concrete</topic><topic>Concrete construction</topic><topic>Construction costs</topic><topic>Construction industry</topic><topic>Correlation analysis</topic><topic>Decay</topic><topic>Decay fungi</topic><topic>Diagnostic systems</topic><topic>Emissions</topic><topic>Engineering Sciences</topic><topic>Enzymatic activities</topic><topic>Fungal degradation</topic><topic>Grain</topic><topic>Inoculum</topic><topic>Materials</topic><topic>Mechanical properties</topic><topic>NIRS</topic><topic>Piles</topic><topic>Predictions</topic><topic>Predictive model</topic><topic>Service life</topic><topic>Soil improvement</topic><topic>Stochastic models</topic><topic>Stochasticity</topic><topic>Structural damage</topic><topic>Studies</topic><topic>Supports</topic><topic>Wood</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kleindienst, Quentin</creatorcontrib><creatorcontrib>Besserer, Arnaud</creatorcontrib><creatorcontrib>Antoine, Marie-Laure</creatorcontrib><creatorcontrib>Perrin, Christelle</creatorcontrib><creatorcontrib>Bocquet, Jean-François</creatorcontrib><creatorcontrib>Bléron, Laurent</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>International biodeterioration & biodegradation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kleindienst, Quentin</au><au>Besserer, Arnaud</au><au>Antoine, Marie-Laure</au><au>Perrin, Christelle</au><au>Bocquet, Jean-François</au><au>Bléron, Laurent</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting the beech wood decay and strength loss in-ground</atitle><jtitle>International biodeterioration & biodegradation</jtitle><date>2017-09-01</date><risdate>2017</risdate><volume>123</volume><spage>96</spage><epage>105</epage><pages>96-105</pages><issn>0964-8305</issn><eissn>1879-0208</eissn><abstract>In the context of reduction of CO2 emissions and costs in the construction industry, substitution of concrete by wood for foundation piles seems to be a promising alternative. To promote the use of local wood in pile foundation, diagnostic and prediction methodology of wood decay in soil need to be improved. Outdoor mesocosm decay experiments were performed to evaluate the potential use of beech wood as foundation piles. The stochastic occurrence of soil fungal inoculum in contact with mini-stakes and water gradient in wood explained the observed patchy wood decay pattern. Various patterns of wood rotting fungi were identified. The correlation between measured strength loss and mass loss was weak. Multivariate analyses using biochemical and physico-chemical data as inputs allowed section categorizations and prediction of wood strength. Accuracy of the prediction was validated by experimental measurement of the compression parallel to the grain (fc,o). The categorization of unknown sections was computed by PLS-DA and provided clues inferring their service life. The described procedure has the potential to be transferred to on-site measurements to predict the fc,o of wood foundation pile or any potentially damaged timber structure.
•A detailed analysis of beech wood decay in ground was performed.•Stochastic occurrence of fungi explained patchy wood degradation.•Wood strength was accurately predicted from NIR spectra performed on timber samples.•A multivariate model to predict wood strength and infer its service life is proposed.•The procedure is easily transposable to on-site measurements.</abstract><cop>Barking</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ibiod.2017.06.006</doi><tpages>10</tpages></addata></record> |
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subjects | Beech Beech wood in-ground Carbon dioxide Carbon dioxide emissions Compression Concrete Concrete construction Construction costs Construction industry Correlation analysis Decay Decay fungi Diagnostic systems Emissions Engineering Sciences Enzymatic activities Fungal degradation Grain Inoculum Materials Mechanical properties NIRS Piles Predictions Predictive model Service life Soil improvement Stochastic models Stochasticity Structural damage Studies Supports Wood |
title | Predicting the beech wood decay and strength loss in-ground |
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