Site Soundings Density for Geotechnical Investigation with Combined Fuzzy and Probabilistic Input Information
A fuzzy sets decision support system is proposed for geotechnical site investigation. The system considers parameters such as geology and soil variability that affect the required number of soundings to adequately characterize a site. It permits also to consider vagueness and lack of information. On...
Gespeichert in:
Veröffentlicht in: | Geotechnical and geological engineering 2014-04, Vol.32 (2), p.547-559 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 559 |
---|---|
container_issue | 2 |
container_start_page | 547 |
container_title | Geotechnical and geological engineering |
container_volume | 32 |
creator | Boumezerane, Djamalddine Belkacemi, Smain Zlender, Bojan |
description | A fuzzy sets decision support system is proposed for geotechnical site investigation. The system considers parameters such as geology and soil variability that affect the required number of soundings to adequately characterize a site. It permits also to consider vagueness and lack of information. On the basis of available qualitative and quantitative information, the system allows estimating, for common projects, the number of site soundings. Monte Carlo simulations of entry ranges, where each point has a uniform probability distribution, permit to arrange the output in form of histograms fitted with probability functions. The cases presented show that the fuzzy inference system can be used as a systematic decision support for engineers dealing with site characterization. |
doi_str_mv | 10.1007/s10706-014-9733-z |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1762144472</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1762144472</sourcerecordid><originalsourceid>FETCH-LOGICAL-a405t-1caefb6ecccda7364fa7fa7301f14bd46ce110c87657aeb6a4d6504bb2f8cb0b3</originalsourceid><addsrcrecordid>eNqFkcGKFDEQhoMoOK4-gLeAFy-tVUk6mRxldNeFBYXVc0jS6dks3cmYdCszT2_WEQRBhFC5fN9PFT8hLxHeIIB6WxEUyA5QdFpx3p0ekQ32infYM_2YbEBL6Dhu2VPyrNZ7AGAScEPm27gEepvXNMS0r_R9SDUuRzrmQq9CXoK_S9HbiV6n76EucW-XmBP9EZc7usuziykM9HI9nY7UpoF-LtlZF6fYUN-cw7q02cLmX95z8mS0Uw0vfv8X5Ovlhy-7j93Np6vr3bubzgrolw69DaOTwXs_WMWlGK1qjwOOKNwgpA-I4LdK9soGJ60YZA_COTZuvQPHL8jrc-6h5G9r29vMsfowTTaFvFaDSjIUQij2f7TnoLUG5A199Rd6n9eS2iGGsV4rLYXSjcIz5UuutYTRHEqcbTkaBPPQlTl3ZVpX5qErc2oOOzu1sWkfyp_kf0s_AZEqmVc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2259796479</pqid></control><display><type>article</type><title>Site Soundings Density for Geotechnical Investigation with Combined Fuzzy and Probabilistic Input Information</title><source>SpringerLink (Online service)</source><creator>Boumezerane, Djamalddine ; Belkacemi, Smain ; Zlender, Bojan</creator><creatorcontrib>Boumezerane, Djamalddine ; Belkacemi, Smain ; Zlender, Bojan</creatorcontrib><description>A fuzzy sets decision support system is proposed for geotechnical site investigation. The system considers parameters such as geology and soil variability that affect the required number of soundings to adequately characterize a site. It permits also to consider vagueness and lack of information. On the basis of available qualitative and quantitative information, the system allows estimating, for common projects, the number of site soundings. Monte Carlo simulations of entry ranges, where each point has a uniform probability distribution, permit to arrange the output in form of histograms fitted with probability functions. The cases presented show that the fuzzy inference system can be used as a systematic decision support for engineers dealing with site characterization.</description><identifier>ISSN: 0960-3182</identifier><identifier>EISSN: 1573-1529</identifier><identifier>DOI: 10.1007/s10706-014-9733-z</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Civil Engineering ; Computer simulation ; Decision support systems ; Density ; Earth and Environmental Science ; Earth Sciences ; Fuzzy ; Fuzzy logic ; Fuzzy set theory ; Fuzzy sets ; Fuzzy systems ; Geology ; Geotechnical engineering ; Geotechnical Engineering & Applied Earth Sciences ; Geotechnics ; Histograms ; Hydrogeology ; Information systems ; Monte Carlo simulation ; Original Paper ; Probabilistic inference ; Probability distribution ; Probability theory ; Soil ; Soil investigations ; Sounding ; Soundings ; Statistical analysis ; Statistical methods ; Terrestrial Pollution ; Waste Management/Waste Technology</subject><ispartof>Geotechnical and geological engineering, 2014-04, Vol.32 (2), p.547-559</ispartof><rights>Springer International Publishing Switzerland 2014</rights><rights>Geotechnical and Geological Engineering is a copyright of Springer, (2014). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a405t-1caefb6ecccda7364fa7fa7301f14bd46ce110c87657aeb6a4d6504bb2f8cb0b3</citedby><cites>FETCH-LOGICAL-a405t-1caefb6ecccda7364fa7fa7301f14bd46ce110c87657aeb6a4d6504bb2f8cb0b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10706-014-9733-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10706-014-9733-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Boumezerane, Djamalddine</creatorcontrib><creatorcontrib>Belkacemi, Smain</creatorcontrib><creatorcontrib>Zlender, Bojan</creatorcontrib><title>Site Soundings Density for Geotechnical Investigation with Combined Fuzzy and Probabilistic Input Information</title><title>Geotechnical and geological engineering</title><addtitle>Geotech Geol Eng</addtitle><description>A fuzzy sets decision support system is proposed for geotechnical site investigation. The system considers parameters such as geology and soil variability that affect the required number of soundings to adequately characterize a site. It permits also to consider vagueness and lack of information. On the basis of available qualitative and quantitative information, the system allows estimating, for common projects, the number of site soundings. Monte Carlo simulations of entry ranges, where each point has a uniform probability distribution, permit to arrange the output in form of histograms fitted with probability functions. The cases presented show that the fuzzy inference system can be used as a systematic decision support for engineers dealing with site characterization.</description><subject>Civil Engineering</subject><subject>Computer simulation</subject><subject>Decision support systems</subject><subject>Density</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Fuzzy</subject><subject>Fuzzy logic</subject><subject>Fuzzy set theory</subject><subject>Fuzzy sets</subject><subject>Fuzzy systems</subject><subject>Geology</subject><subject>Geotechnical engineering</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Geotechnics</subject><subject>Histograms</subject><subject>Hydrogeology</subject><subject>Information systems</subject><subject>Monte Carlo simulation</subject><subject>Original Paper</subject><subject>Probabilistic inference</subject><subject>Probability distribution</subject><subject>Probability theory</subject><subject>Soil</subject><subject>Soil investigations</subject><subject>Sounding</subject><subject>Soundings</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Terrestrial Pollution</subject><subject>Waste Management/Waste Technology</subject><issn>0960-3182</issn><issn>1573-1529</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqFkcGKFDEQhoMoOK4-gLeAFy-tVUk6mRxldNeFBYXVc0jS6dks3cmYdCszT2_WEQRBhFC5fN9PFT8hLxHeIIB6WxEUyA5QdFpx3p0ekQ32infYM_2YbEBL6Dhu2VPyrNZ7AGAScEPm27gEepvXNMS0r_R9SDUuRzrmQq9CXoK_S9HbiV6n76EucW-XmBP9EZc7usuziykM9HI9nY7UpoF-LtlZF6fYUN-cw7q02cLmX95z8mS0Uw0vfv8X5Ovlhy-7j93Np6vr3bubzgrolw69DaOTwXs_WMWlGK1qjwOOKNwgpA-I4LdK9soGJ60YZA_COTZuvQPHL8jrc-6h5G9r29vMsfowTTaFvFaDSjIUQij2f7TnoLUG5A199Rd6n9eS2iGGsV4rLYXSjcIz5UuutYTRHEqcbTkaBPPQlTl3ZVpX5qErc2oOOzu1sWkfyp_kf0s_AZEqmVc</recordid><startdate>20140401</startdate><enddate>20140401</enddate><creator>Boumezerane, Djamalddine</creator><creator>Belkacemi, Smain</creator><creator>Zlender, Bojan</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TN</scope><scope>7UA</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>H96</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>L6V</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>7SC</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20140401</creationdate><title>Site Soundings Density for Geotechnical Investigation with Combined Fuzzy and Probabilistic Input Information</title><author>Boumezerane, Djamalddine ; Belkacemi, Smain ; Zlender, Bojan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a405t-1caefb6ecccda7364fa7fa7301f14bd46ce110c87657aeb6a4d6504bb2f8cb0b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Civil Engineering</topic><topic>Computer simulation</topic><topic>Decision support systems</topic><topic>Density</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Fuzzy</topic><topic>Fuzzy logic</topic><topic>Fuzzy set theory</topic><topic>Fuzzy sets</topic><topic>Fuzzy systems</topic><topic>Geology</topic><topic>Geotechnical engineering</topic><topic>Geotechnical Engineering & Applied Earth Sciences</topic><topic>Geotechnics</topic><topic>Histograms</topic><topic>Hydrogeology</topic><topic>Information systems</topic><topic>Monte Carlo simulation</topic><topic>Original Paper</topic><topic>Probabilistic inference</topic><topic>Probability distribution</topic><topic>Probability theory</topic><topic>Soil</topic><topic>Soil investigations</topic><topic>Sounding</topic><topic>Soundings</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Terrestrial Pollution</topic><topic>Waste Management/Waste Technology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Boumezerane, Djamalddine</creatorcontrib><creatorcontrib>Belkacemi, Smain</creatorcontrib><creatorcontrib>Zlender, Bojan</creatorcontrib><collection>CrossRef</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering 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><jtitle>Geotechnical and geological engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Boumezerane, Djamalddine</au><au>Belkacemi, Smain</au><au>Zlender, Bojan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Site Soundings Density for Geotechnical Investigation with Combined Fuzzy and Probabilistic Input Information</atitle><jtitle>Geotechnical and geological engineering</jtitle><stitle>Geotech Geol Eng</stitle><date>2014-04-01</date><risdate>2014</risdate><volume>32</volume><issue>2</issue><spage>547</spage><epage>559</epage><pages>547-559</pages><issn>0960-3182</issn><eissn>1573-1529</eissn><abstract>A fuzzy sets decision support system is proposed for geotechnical site investigation. The system considers parameters such as geology and soil variability that affect the required number of soundings to adequately characterize a site. It permits also to consider vagueness and lack of information. On the basis of available qualitative and quantitative information, the system allows estimating, for common projects, the number of site soundings. Monte Carlo simulations of entry ranges, where each point has a uniform probability distribution, permit to arrange the output in form of histograms fitted with probability functions. The cases presented show that the fuzzy inference system can be used as a systematic decision support for engineers dealing with site characterization.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s10706-014-9733-z</doi><tpages>13</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0960-3182 |
ispartof | Geotechnical and geological engineering, 2014-04, Vol.32 (2), p.547-559 |
issn | 0960-3182 1573-1529 |
language | eng |
recordid | cdi_proquest_miscellaneous_1762144472 |
source | SpringerLink (Online service) |
subjects | Civil Engineering Computer simulation Decision support systems Density Earth and Environmental Science Earth Sciences Fuzzy Fuzzy logic Fuzzy set theory Fuzzy sets Fuzzy systems Geology Geotechnical engineering Geotechnical Engineering & Applied Earth Sciences Geotechnics Histograms Hydrogeology Information systems Monte Carlo simulation Original Paper Probabilistic inference Probability distribution Probability theory Soil Soil investigations Sounding Soundings Statistical analysis Statistical methods Terrestrial Pollution Waste Management/Waste Technology |
title | Site Soundings Density for Geotechnical Investigation with Combined Fuzzy and Probabilistic Input Information |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T07%3A33%3A50IST&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=Site%20Soundings%20Density%20for%20Geotechnical%20Investigation%20with%20Combined%20Fuzzy%20and%20Probabilistic%20Input%20Information&rft.jtitle=Geotechnical%20and%20geological%20engineering&rft.au=Boumezerane,%20Djamalddine&rft.date=2014-04-01&rft.volume=32&rft.issue=2&rft.spage=547&rft.epage=559&rft.pages=547-559&rft.issn=0960-3182&rft.eissn=1573-1529&rft_id=info:doi/10.1007/s10706-014-9733-z&rft_dat=%3Cproquest_cross%3E1762144472%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=2259796479&rft_id=info:pmid/&rfr_iscdi=true |