Loading…
The 3D analysis and estimation of transient seepage in earth dams through PLAXIS 3D software: neural network
The issue of seepage and its management is essential in earth dams which if exceeded from a certain stage the destruction of dam is probable. Despite the studies run through consulting engineers, the hydraulic behaviors of both body and foundation cannot be predicted. To understand the function of s...
Saved in:
Published in: | Environmental earth sciences 2019-09, Vol.78 (18), p.1-7 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-a999-78837595d10b791c9ab74082a6679e4b818bc6d70944fc7bad489aa6be7db48c3 |
---|---|
cites | |
container_end_page | 7 |
container_issue | 18 |
container_start_page | 1 |
container_title | Environmental earth sciences |
container_volume | 78 |
creator | Bayat, Mandana Eslamian, Saeid Shams, Gholamreza Hajiannia, Alborz |
description | The issue of seepage and its management is essential in earth dams which if exceeded from a certain stage the destruction of dam is probable. Despite the studies run through consulting engineers, the hydraulic behaviors of both body and foundation cannot be predicted. To understand the function of such structures, the geotechnical software PLAXIS 3D based on FEM is applied to determine the transient seepage analysis on the subject earth dam for 1 year. The outputs in downstream drain are compared with the actual obtained results from seepage at the same points with 15-day intervals for 1 year as an experimental sample. The obtained data here thorough PLAXIS 3D in addition to available actual seepage, permeability coefficients in x, y, and z directions, transient head upstream, soil-specific gravity for both the wet and dry conditions, Poisson coefficient, c, ɸ, and elasticity modulus material are trained through a neural network algorithm. Here, an equation is yield through which the seepage is calculated in transient head upstream at any point of the subject earth dam. This equation has a great accuracy of (P value > 0.05), and is applied in calculating the actual seepage of earth dams in critical situations such as earth dam failure due to piping operation or dam body erosion. |
doi_str_mv | 10.1007/s12665-019-8405-y |
format | article |
fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_2292724329</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2292724329</sourcerecordid><originalsourceid>FETCH-LOGICAL-a999-78837595d10b791c9ab74082a6679e4b818bc6d70944fc7bad489aa6be7db48c3</originalsourceid><addsrcrecordid>eNo9j09LwzAYh4MoOOY-gLeA52qSpkleb2P-GwwU3MHbeNOma2fXzCRl7NtbUfxdnuf0wI-Qa85uOWP6LnKhVJExDpmRrMhOZ2TCjVKZEgDn_27YJZnFuGPjcp4DUxPSrRtH8weKPXan2MZRKupiaveYWt9TX9MUsI-t6xONzh1w62jbU4chNbTCfaSpCX7YNvRtNf9Yvv_Eoq_TEYO7p70bAnYj0tGHzytyUWMX3eyPU7J-elwvXrLV6_NyMV9lCACZNibXBRQVZ1YDLwGtlswIVEqDk9ZwY0tVaQZS1qW2WEkDiMo6XVlpynxKbn6zh-C_hvHMZueHMB6MGyFAaCFzAfk3hjRbBQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2292724329</pqid></control><display><type>article</type><title>The 3D analysis and estimation of transient seepage in earth dams through PLAXIS 3D software: neural network</title><source>Springer Nature</source><creator>Bayat, Mandana ; Eslamian, Saeid ; Shams, Gholamreza ; Hajiannia, Alborz</creator><creatorcontrib>Bayat, Mandana ; Eslamian, Saeid ; Shams, Gholamreza ; Hajiannia, Alborz</creatorcontrib><description>The issue of seepage and its management is essential in earth dams which if exceeded from a certain stage the destruction of dam is probable. Despite the studies run through consulting engineers, the hydraulic behaviors of both body and foundation cannot be predicted. To understand the function of such structures, the geotechnical software PLAXIS 3D based on FEM is applied to determine the transient seepage analysis on the subject earth dam for 1 year. The outputs in downstream drain are compared with the actual obtained results from seepage at the same points with 15-day intervals for 1 year as an experimental sample. The obtained data here thorough PLAXIS 3D in addition to available actual seepage, permeability coefficients in x, y, and z directions, transient head upstream, soil-specific gravity for both the wet and dry conditions, Poisson coefficient, c, ɸ, and elasticity modulus material are trained through a neural network algorithm. Here, an equation is yield through which the seepage is calculated in transient head upstream at any point of the subject earth dam. This equation has a great accuracy of (P value > 0.05), and is applied in calculating the actual seepage of earth dams in critical situations such as earth dam failure due to piping operation or dam body erosion.</description><identifier>ISSN: 1866-6280</identifier><identifier>EISSN: 1866-6299</identifier><identifier>DOI: 10.1007/s12665-019-8405-y</identifier><language>eng</language><publisher>Heidelberg: Springer Nature B.V</publisher><subject>Algorithms ; Coefficients ; Computer programs ; Dam engineering ; Dam failure ; Dams ; Downstream effects ; Earth ; Earth dams ; Elasticity ; Erosion ; Mathematical analysis ; Neural networks ; Permeability ; Piping ; Seepage ; Software ; Soil ; Soil permeability ; Specific gravity ; Upstream</subject><ispartof>Environmental earth sciences, 2019-09, Vol.78 (18), p.1-7</ispartof><rights>Environmental Earth Sciences is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a999-78837595d10b791c9ab74082a6679e4b818bc6d70944fc7bad489aa6be7db48c3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Bayat, Mandana</creatorcontrib><creatorcontrib>Eslamian, Saeid</creatorcontrib><creatorcontrib>Shams, Gholamreza</creatorcontrib><creatorcontrib>Hajiannia, Alborz</creatorcontrib><title>The 3D analysis and estimation of transient seepage in earth dams through PLAXIS 3D software: neural network</title><title>Environmental earth sciences</title><description>The issue of seepage and its management is essential in earth dams which if exceeded from a certain stage the destruction of dam is probable. Despite the studies run through consulting engineers, the hydraulic behaviors of both body and foundation cannot be predicted. To understand the function of such structures, the geotechnical software PLAXIS 3D based on FEM is applied to determine the transient seepage analysis on the subject earth dam for 1 year. The outputs in downstream drain are compared with the actual obtained results from seepage at the same points with 15-day intervals for 1 year as an experimental sample. The obtained data here thorough PLAXIS 3D in addition to available actual seepage, permeability coefficients in x, y, and z directions, transient head upstream, soil-specific gravity for both the wet and dry conditions, Poisson coefficient, c, ɸ, and elasticity modulus material are trained through a neural network algorithm. Here, an equation is yield through which the seepage is calculated in transient head upstream at any point of the subject earth dam. This equation has a great accuracy of (P value > 0.05), and is applied in calculating the actual seepage of earth dams in critical situations such as earth dam failure due to piping operation or dam body erosion.</description><subject>Algorithms</subject><subject>Coefficients</subject><subject>Computer programs</subject><subject>Dam engineering</subject><subject>Dam failure</subject><subject>Dams</subject><subject>Downstream effects</subject><subject>Earth</subject><subject>Earth dams</subject><subject>Elasticity</subject><subject>Erosion</subject><subject>Mathematical analysis</subject><subject>Neural networks</subject><subject>Permeability</subject><subject>Piping</subject><subject>Seepage</subject><subject>Software</subject><subject>Soil</subject><subject>Soil permeability</subject><subject>Specific gravity</subject><subject>Upstream</subject><issn>1866-6280</issn><issn>1866-6299</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNo9j09LwzAYh4MoOOY-gLeA52qSpkleb2P-GwwU3MHbeNOma2fXzCRl7NtbUfxdnuf0wI-Qa85uOWP6LnKhVJExDpmRrMhOZ2TCjVKZEgDn_27YJZnFuGPjcp4DUxPSrRtH8weKPXan2MZRKupiaveYWt9TX9MUsI-t6xONzh1w62jbU4chNbTCfaSpCX7YNvRtNf9Yvv_Eoq_TEYO7p70bAnYj0tGHzytyUWMX3eyPU7J-elwvXrLV6_NyMV9lCACZNibXBRQVZ1YDLwGtlswIVEqDk9ZwY0tVaQZS1qW2WEkDiMo6XVlpynxKbn6zh-C_hvHMZueHMB6MGyFAaCFzAfk3hjRbBQ</recordid><startdate>20190901</startdate><enddate>20190901</enddate><creator>Bayat, Mandana</creator><creator>Eslamian, Saeid</creator><creator>Shams, Gholamreza</creator><creator>Hajiannia, Alborz</creator><general>Springer Nature B.V</general><scope>3V.</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope></search><sort><creationdate>20190901</creationdate><title>The 3D analysis and estimation of transient seepage in earth dams through PLAXIS 3D software: neural network</title><author>Bayat, Mandana ; Eslamian, Saeid ; Shams, Gholamreza ; Hajiannia, Alborz</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a999-78837595d10b791c9ab74082a6679e4b818bc6d70944fc7bad489aa6be7db48c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Algorithms</topic><topic>Coefficients</topic><topic>Computer programs</topic><topic>Dam engineering</topic><topic>Dam failure</topic><topic>Dams</topic><topic>Downstream effects</topic><topic>Earth</topic><topic>Earth dams</topic><topic>Elasticity</topic><topic>Erosion</topic><topic>Mathematical analysis</topic><topic>Neural networks</topic><topic>Permeability</topic><topic>Piping</topic><topic>Seepage</topic><topic>Software</topic><topic>Soil</topic><topic>Soil permeability</topic><topic>Specific gravity</topic><topic>Upstream</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bayat, Mandana</creatorcontrib><creatorcontrib>Eslamian, Saeid</creatorcontrib><creatorcontrib>Shams, Gholamreza</creatorcontrib><creatorcontrib>Hajiannia, Alborz</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</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</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Science Database</collection><collection>Environmental Science 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>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Environmental earth sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bayat, Mandana</au><au>Eslamian, Saeid</au><au>Shams, Gholamreza</au><au>Hajiannia, Alborz</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The 3D analysis and estimation of transient seepage in earth dams through PLAXIS 3D software: neural network</atitle><jtitle>Environmental earth sciences</jtitle><date>2019-09-01</date><risdate>2019</risdate><volume>78</volume><issue>18</issue><spage>1</spage><epage>7</epage><pages>1-7</pages><issn>1866-6280</issn><eissn>1866-6299</eissn><abstract>The issue of seepage and its management is essential in earth dams which if exceeded from a certain stage the destruction of dam is probable. Despite the studies run through consulting engineers, the hydraulic behaviors of both body and foundation cannot be predicted. To understand the function of such structures, the geotechnical software PLAXIS 3D based on FEM is applied to determine the transient seepage analysis on the subject earth dam for 1 year. The outputs in downstream drain are compared with the actual obtained results from seepage at the same points with 15-day intervals for 1 year as an experimental sample. The obtained data here thorough PLAXIS 3D in addition to available actual seepage, permeability coefficients in x, y, and z directions, transient head upstream, soil-specific gravity for both the wet and dry conditions, Poisson coefficient, c, ɸ, and elasticity modulus material are trained through a neural network algorithm. Here, an equation is yield through which the seepage is calculated in transient head upstream at any point of the subject earth dam. This equation has a great accuracy of (P value > 0.05), and is applied in calculating the actual seepage of earth dams in critical situations such as earth dam failure due to piping operation or dam body erosion.</abstract><cop>Heidelberg</cop><pub>Springer Nature B.V</pub><doi>10.1007/s12665-019-8405-y</doi><tpages>7</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1866-6280 |
ispartof | Environmental earth sciences, 2019-09, Vol.78 (18), p.1-7 |
issn | 1866-6280 1866-6299 |
language | eng |
recordid | cdi_proquest_journals_2292724329 |
source | Springer Nature |
subjects | Algorithms Coefficients Computer programs Dam engineering Dam failure Dams Downstream effects Earth Earth dams Elasticity Erosion Mathematical analysis Neural networks Permeability Piping Seepage Software Soil Soil permeability Specific gravity Upstream |
title | The 3D analysis and estimation of transient seepage in earth dams through PLAXIS 3D software: neural network |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T20%3A05%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%203D%20analysis%20and%20estimation%20of%20transient%20seepage%20in%20earth%20dams%20through%20PLAXIS%203D%20software:%20neural%20network&rft.jtitle=Environmental%20earth%20sciences&rft.au=Bayat,%20Mandana&rft.date=2019-09-01&rft.volume=78&rft.issue=18&rft.spage=1&rft.epage=7&rft.pages=1-7&rft.issn=1866-6280&rft.eissn=1866-6299&rft_id=info:doi/10.1007/s12665-019-8405-y&rft_dat=%3Cproquest%3E2292724329%3C/proquest%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-a999-78837595d10b791c9ab74082a6679e4b818bc6d70944fc7bad489aa6be7db48c3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2292724329&rft_id=info:pmid/&rfr_iscdi=true |