Matric Suction Prediction Model in New AASHTO Mechanistic–Empirical Pavement Design Guide

Equilibrium moisture beneath highway pavements is critical to pavement design because it directly affects the strength and stiffness of pavement systems. Moisture is related to soil suction by means of the soil water characteristic curve (SWCC). Previous research has indicated a correlation of sucti...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Transportation research record 2009-01, Vol.2101 (1), p.53-62
Hauptverfasser: Zapata, Claudia E., Perera, Yugantha Y., Houston, William N.
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 62
container_issue 1
container_start_page 53
container_title Transportation research record
container_volume 2101
creator Zapata, Claudia E.
Perera, Yugantha Y.
Houston, William N.
description Equilibrium moisture beneath highway pavements is critical to pavement design because it directly affects the strength and stiffness of pavement systems. Moisture is related to soil suction by means of the soil water characteristic curve (SWCC). Previous research has indicated a correlation of suction with Thornthwaite's moisture index and soil type; however, these suction correlations exhibit large variability. Under NCHRP Project 9-23, Environmental Effects in Pavement Mix and Structural Design, sponsored by FHWA, soil samples were collected from beneath 30 pavement sections throughout the United States. The SWCCs and index properties of collected samples were measured at Arizona State University. The in situ degree of saturation was obtained and the corresponding in situ soil suction was found from measured SWCCs. On the basis of the field and laboratory data, two models were developed to predict equilibrium suction under pavements: one for granular non-plastic materials and another for fine-grained plastic materials. These models were adopted in the new AASHTO Mechanistic–Empirical Pavement Design Guide because they exhibited good results, with variability within acceptable limits. Model development is presented.
doi_str_mv 10.3141/2101-07
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_34777011</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.3141_2101-07</sage_id><sourcerecordid>34777011</sourcerecordid><originalsourceid>FETCH-LOGICAL-c346t-3501ef190558ad48a2a99c2973246e0b09841149c42b9936ed726554e18289c93</originalsourceid><addsrcrecordid>eNpl0M1OAjEQB_DGaCKi8RV6MHpa7bTdjx4JIpiAkIAnD03pDliyH7jd1XjzHXxDn8Ql683TzOE3k_z_hFwCuxUg4Y4Dg4DFR6THIVKBZCE_Jj0mIghAJXBKzrzfMSaEjEWPvMxMXTlLl42tXVnQRYWp69ZZmWJGXUGf8IMOBsvJak5naF9N4Xzt7M_X9yjfu_bYZHRh3jHHoqb36N22oOPGpXhOTjYm83jxN_vk-WG0Gk6C6Xz8OBxMAytkVAciZIAbUCwME5PKxHCjlOUqFlxGyNZMJRJAKiv5WikRYRrzKAwlQsITZZXok-vu774q3xr0tc6dt5hlpsCy8bpNGscMoIU3HbRV6X2FG72vXG6qTw1MH8rTh_I0i1t51Ulvtqh3ZVMVbYJ_7Bf5Fmq_</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>34777011</pqid></control><display><type>article</type><title>Matric Suction Prediction Model in New AASHTO Mechanistic–Empirical Pavement Design Guide</title><source>SAGE Complete A-Z List</source><creator>Zapata, Claudia E. ; Perera, Yugantha Y. ; Houston, William N.</creator><creatorcontrib>Zapata, Claudia E. ; Perera, Yugantha Y. ; Houston, William N.</creatorcontrib><description>Equilibrium moisture beneath highway pavements is critical to pavement design because it directly affects the strength and stiffness of pavement systems. Moisture is related to soil suction by means of the soil water characteristic curve (SWCC). Previous research has indicated a correlation of suction with Thornthwaite's moisture index and soil type; however, these suction correlations exhibit large variability. Under NCHRP Project 9-23, Environmental Effects in Pavement Mix and Structural Design, sponsored by FHWA, soil samples were collected from beneath 30 pavement sections throughout the United States. The SWCCs and index properties of collected samples were measured at Arizona State University. The in situ degree of saturation was obtained and the corresponding in situ soil suction was found from measured SWCCs. On the basis of the field and laboratory data, two models were developed to predict equilibrium suction under pavements: one for granular non-plastic materials and another for fine-grained plastic materials. These models were adopted in the new AASHTO Mechanistic–Empirical Pavement Design Guide because they exhibited good results, with variability within acceptable limits. Model development is presented.</description><identifier>ISSN: 0361-1981</identifier><identifier>EISSN: 2169-4052</identifier><identifier>DOI: 10.3141/2101-07</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><ispartof>Transportation research record, 2009-01, Vol.2101 (1), p.53-62</ispartof><rights>2009 National Academy of Sciences</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c346t-3501ef190558ad48a2a99c2973246e0b09841149c42b9936ed726554e18289c93</citedby><cites>FETCH-LOGICAL-c346t-3501ef190558ad48a2a99c2973246e0b09841149c42b9936ed726554e18289c93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.3141/2101-07$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.3141/2101-07$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,776,780,21798,27901,27902,43597,43598</link.rule.ids></links><search><creatorcontrib>Zapata, Claudia E.</creatorcontrib><creatorcontrib>Perera, Yugantha Y.</creatorcontrib><creatorcontrib>Houston, William N.</creatorcontrib><title>Matric Suction Prediction Model in New AASHTO Mechanistic–Empirical Pavement Design Guide</title><title>Transportation research record</title><description>Equilibrium moisture beneath highway pavements is critical to pavement design because it directly affects the strength and stiffness of pavement systems. Moisture is related to soil suction by means of the soil water characteristic curve (SWCC). Previous research has indicated a correlation of suction with Thornthwaite's moisture index and soil type; however, these suction correlations exhibit large variability. Under NCHRP Project 9-23, Environmental Effects in Pavement Mix and Structural Design, sponsored by FHWA, soil samples were collected from beneath 30 pavement sections throughout the United States. The SWCCs and index properties of collected samples were measured at Arizona State University. The in situ degree of saturation was obtained and the corresponding in situ soil suction was found from measured SWCCs. On the basis of the field and laboratory data, two models were developed to predict equilibrium suction under pavements: one for granular non-plastic materials and another for fine-grained plastic materials. These models were adopted in the new AASHTO Mechanistic–Empirical Pavement Design Guide because they exhibited good results, with variability within acceptable limits. Model development is presented.</description><issn>0361-1981</issn><issn>2169-4052</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNpl0M1OAjEQB_DGaCKi8RV6MHpa7bTdjx4JIpiAkIAnD03pDliyH7jd1XjzHXxDn8Ql683TzOE3k_z_hFwCuxUg4Y4Dg4DFR6THIVKBZCE_Jj0mIghAJXBKzrzfMSaEjEWPvMxMXTlLl42tXVnQRYWp69ZZmWJGXUGf8IMOBsvJak5naF9N4Xzt7M_X9yjfu_bYZHRh3jHHoqb36N22oOPGpXhOTjYm83jxN_vk-WG0Gk6C6Xz8OBxMAytkVAciZIAbUCwME5PKxHCjlOUqFlxGyNZMJRJAKiv5WikRYRrzKAwlQsITZZXok-vu774q3xr0tc6dt5hlpsCy8bpNGscMoIU3HbRV6X2FG72vXG6qTw1MH8rTh_I0i1t51Ulvtqh3ZVMVbYJ_7Bf5Fmq_</recordid><startdate>20090101</startdate><enddate>20090101</enddate><creator>Zapata, Claudia E.</creator><creator>Perera, Yugantha Y.</creator><creator>Houston, William N.</creator><general>SAGE Publications</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20090101</creationdate><title>Matric Suction Prediction Model in New AASHTO Mechanistic–Empirical Pavement Design Guide</title><author>Zapata, Claudia E. ; Perera, Yugantha Y. ; Houston, William N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c346t-3501ef190558ad48a2a99c2973246e0b09841149c42b9936ed726554e18289c93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zapata, Claudia E.</creatorcontrib><creatorcontrib>Perera, Yugantha Y.</creatorcontrib><creatorcontrib>Houston, William N.</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Transportation research record</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zapata, Claudia E.</au><au>Perera, Yugantha Y.</au><au>Houston, William N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Matric Suction Prediction Model in New AASHTO Mechanistic–Empirical Pavement Design Guide</atitle><jtitle>Transportation research record</jtitle><date>2009-01-01</date><risdate>2009</risdate><volume>2101</volume><issue>1</issue><spage>53</spage><epage>62</epage><pages>53-62</pages><issn>0361-1981</issn><eissn>2169-4052</eissn><abstract>Equilibrium moisture beneath highway pavements is critical to pavement design because it directly affects the strength and stiffness of pavement systems. Moisture is related to soil suction by means of the soil water characteristic curve (SWCC). Previous research has indicated a correlation of suction with Thornthwaite's moisture index and soil type; however, these suction correlations exhibit large variability. Under NCHRP Project 9-23, Environmental Effects in Pavement Mix and Structural Design, sponsored by FHWA, soil samples were collected from beneath 30 pavement sections throughout the United States. The SWCCs and index properties of collected samples were measured at Arizona State University. The in situ degree of saturation was obtained and the corresponding in situ soil suction was found from measured SWCCs. On the basis of the field and laboratory data, two models were developed to predict equilibrium suction under pavements: one for granular non-plastic materials and another for fine-grained plastic materials. These models were adopted in the new AASHTO Mechanistic–Empirical Pavement Design Guide because they exhibited good results, with variability within acceptable limits. Model development is presented.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><doi>10.3141/2101-07</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0361-1981
ispartof Transportation research record, 2009-01, Vol.2101 (1), p.53-62
issn 0361-1981
2169-4052
language eng
recordid cdi_proquest_miscellaneous_34777011
source SAGE Complete A-Z List
title Matric Suction Prediction Model in New AASHTO Mechanistic–Empirical Pavement Design Guide
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T03%3A18%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Matric%20Suction%20Prediction%20Model%20in%20New%20AASHTO%20Mechanistic%E2%80%93Empirical%20Pavement%20Design%20Guide&rft.jtitle=Transportation%20research%20record&rft.au=Zapata,%20Claudia%20E.&rft.date=2009-01-01&rft.volume=2101&rft.issue=1&rft.spage=53&rft.epage=62&rft.pages=53-62&rft.issn=0361-1981&rft.eissn=2169-4052&rft_id=info:doi/10.3141/2101-07&rft_dat=%3Cproquest_cross%3E34777011%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=34777011&rft_id=info:pmid/&rft_sage_id=10.3141_2101-07&rfr_iscdi=true