Air losses in compressed air tunnelling: a prediction model

Data (measurements) from a tunnel in Munich, Germany, were used to develop and validate a model to predict air loss volumes in the process of compressed air tunnelling. In the implemented case study, compressed air was used as a measure to control the groundwater followed by placing of a shotcrete l...

Full description

Saved in:
Bibliographic Details
Published in:Proceedings of the Institution of Civil Engineers. Engineering and computational mechanics 2016-09, Vol.169 (3), p.140-147
Main Authors: Ahangar Asr, Alireza, Javadi, Akbar
Format: Article
Language:English
Citations: Items that this one cites
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-c307t-e998d4f08fc8d2c6eef08cceda273414f0fd402be7518b57a9cf426891ba906f3
cites cdi_FETCH-LOGICAL-c307t-e998d4f08fc8d2c6eef08cceda273414f0fd402be7518b57a9cf426891ba906f3
container_end_page 147
container_issue 3
container_start_page 140
container_title Proceedings of the Institution of Civil Engineers. Engineering and computational mechanics
container_volume 169
creator Ahangar Asr, Alireza
Javadi, Akbar
description Data (measurements) from a tunnel in Munich, Germany, were used to develop and validate a model to predict air loss volumes in the process of compressed air tunnelling. In the implemented case study, compressed air was used as a measure to control the groundwater followed by placing of a shotcrete lining as temporary support. Evolutionary polynomial regression (EPR) was used for modelling. EPR is a data-driven method based on evolutionary computing that aims to search for an explicit and structured polynomial model representing air losses. Comparisons made between the actual measurements and the model predictions showed robustness of the suggested model in learning and predicting the behaviour of the system. A sensitivity analysis was also performed on the developed model; this revealed the reliability of the model by correctly presenting the expected effects from air permeability of the soil despite the non-homogeneous and layered nature of the geo-materials involved in this case study.
doi_str_mv 10.1680/jencm.15.00023
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1877429308</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4320730391</sourcerecordid><originalsourceid>FETCH-LOGICAL-c307t-e998d4f08fc8d2c6eef08cceda273414f0fd402be7518b57a9cf426891ba906f3</originalsourceid><addsrcrecordid>eNo9kDFPwzAQhS0EEqWwMltiTjg7cezAVFUUkCqxwGy59hmlSpxiJwP_HtMipnun93Sn9xFyy6BkjYL7PQY7lEyUAMCrM7JgUogCpBLn_1rKS3KV0h6g4aBgQR5XXaT9mBIm2gVqx-EQMW-OmmxMcwjY9134fKCGZsd1durGQIfRYX9NLrzpE978zSX52Dy9r1-K7dvz63q1LWwFciqwbZWrPShvleO2QczaWnSGy6pm2fGuBr5DKZjaCWla62veqJbtTAuNr5bk7nT3EMevGdOk9-McQ36pmZKy5m0FKqfKU8rGXCei14fYDSZ-awb6F5A-AtJM6COg6gePIlmT</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1877429308</pqid></control><display><type>article</type><title>Air losses in compressed air tunnelling: a prediction model</title><source>ICE Virtual Library Journals</source><creator>Ahangar Asr, Alireza ; Javadi, Akbar</creator><creatorcontrib>Ahangar Asr, Alireza ; Javadi, Akbar</creatorcontrib><description>Data (measurements) from a tunnel in Munich, Germany, were used to develop and validate a model to predict air loss volumes in the process of compressed air tunnelling. In the implemented case study, compressed air was used as a measure to control the groundwater followed by placing of a shotcrete lining as temporary support. Evolutionary polynomial regression (EPR) was used for modelling. EPR is a data-driven method based on evolutionary computing that aims to search for an explicit and structured polynomial model representing air losses. Comparisons made between the actual measurements and the model predictions showed robustness of the suggested model in learning and predicting the behaviour of the system. A sensitivity analysis was also performed on the developed model; this revealed the reliability of the model by correctly presenting the expected effects from air permeability of the soil despite the non-homogeneous and layered nature of the geo-materials involved in this case study.</description><identifier>ISSN: 1755-0777</identifier><identifier>EISSN: 1755-0785</identifier><identifier>DOI: 10.1680/jencm.15.00023</identifier><language>eng</language><publisher>London: ICE Publishing</publisher><ispartof>Proceedings of the Institution of Civil Engineers. Engineering and computational mechanics, 2016-09, Vol.169 (3), p.140-147</ispartof><rights>ICE Publishing: All rights reserved</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c307t-e998d4f08fc8d2c6eef08cceda273414f0fd402be7518b57a9cf426891ba906f3</citedby><cites>FETCH-LOGICAL-c307t-e998d4f08fc8d2c6eef08cceda273414f0fd402be7518b57a9cf426891ba906f3</cites></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>Ahangar Asr, Alireza</creatorcontrib><creatorcontrib>Javadi, Akbar</creatorcontrib><title>Air losses in compressed air tunnelling: a prediction model</title><title>Proceedings of the Institution of Civil Engineers. Engineering and computational mechanics</title><description>Data (measurements) from a tunnel in Munich, Germany, were used to develop and validate a model to predict air loss volumes in the process of compressed air tunnelling. In the implemented case study, compressed air was used as a measure to control the groundwater followed by placing of a shotcrete lining as temporary support. Evolutionary polynomial regression (EPR) was used for modelling. EPR is a data-driven method based on evolutionary computing that aims to search for an explicit and structured polynomial model representing air losses. Comparisons made between the actual measurements and the model predictions showed robustness of the suggested model in learning and predicting the behaviour of the system. A sensitivity analysis was also performed on the developed model; this revealed the reliability of the model by correctly presenting the expected effects from air permeability of the soil despite the non-homogeneous and layered nature of the geo-materials involved in this case study.</description><issn>1755-0777</issn><issn>1755-0785</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNo9kDFPwzAQhS0EEqWwMltiTjg7cezAVFUUkCqxwGy59hmlSpxiJwP_HtMipnun93Sn9xFyy6BkjYL7PQY7lEyUAMCrM7JgUogCpBLn_1rKS3KV0h6g4aBgQR5XXaT9mBIm2gVqx-EQMW-OmmxMcwjY9134fKCGZsd1durGQIfRYX9NLrzpE978zSX52Dy9r1-K7dvz63q1LWwFciqwbZWrPShvleO2QczaWnSGy6pm2fGuBr5DKZjaCWla62veqJbtTAuNr5bk7nT3EMevGdOk9-McQ36pmZKy5m0FKqfKU8rGXCei14fYDSZ-awb6F5A-AtJM6COg6gePIlmT</recordid><startdate>201609</startdate><enddate>201609</enddate><creator>Ahangar Asr, Alireza</creator><creator>Javadi, Akbar</creator><general>ICE Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</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>201609</creationdate><title>Air losses in compressed air tunnelling: a prediction model</title><author>Ahangar Asr, Alireza ; Javadi, Akbar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c307t-e998d4f08fc8d2c6eef08cceda273414f0fd402be7518b57a9cf426891ba906f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ahangar Asr, Alireza</creatorcontrib><creatorcontrib>Javadi, Akbar</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical &amp; Transportation Engineering 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>Proceedings of the Institution of Civil Engineers. Engineering and computational mechanics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ahangar Asr, Alireza</au><au>Javadi, Akbar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Air losses in compressed air tunnelling: a prediction model</atitle><jtitle>Proceedings of the Institution of Civil Engineers. Engineering and computational mechanics</jtitle><date>2016-09</date><risdate>2016</risdate><volume>169</volume><issue>3</issue><spage>140</spage><epage>147</epage><pages>140-147</pages><issn>1755-0777</issn><eissn>1755-0785</eissn><abstract>Data (measurements) from a tunnel in Munich, Germany, were used to develop and validate a model to predict air loss volumes in the process of compressed air tunnelling. In the implemented case study, compressed air was used as a measure to control the groundwater followed by placing of a shotcrete lining as temporary support. Evolutionary polynomial regression (EPR) was used for modelling. EPR is a data-driven method based on evolutionary computing that aims to search for an explicit and structured polynomial model representing air losses. Comparisons made between the actual measurements and the model predictions showed robustness of the suggested model in learning and predicting the behaviour of the system. A sensitivity analysis was also performed on the developed model; this revealed the reliability of the model by correctly presenting the expected effects from air permeability of the soil despite the non-homogeneous and layered nature of the geo-materials involved in this case study.</abstract><cop>London</cop><pub>ICE Publishing</pub><doi>10.1680/jencm.15.00023</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1755-0777
ispartof Proceedings of the Institution of Civil Engineers. Engineering and computational mechanics, 2016-09, Vol.169 (3), p.140-147
issn 1755-0777
1755-0785
language eng
recordid cdi_proquest_journals_1877429308
source ICE Virtual Library Journals
title Air losses in compressed air tunnelling: a prediction model
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T14%3A08%3A37IST&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=Air%20losses%20in%20compressed%20air%20tunnelling:%20a%20prediction%20model&rft.jtitle=Proceedings%20of%20the%20Institution%20of%20Civil%20Engineers.%20Engineering%20and%20computational%20mechanics&rft.au=Ahangar%20Asr,%20Alireza&rft.date=2016-09&rft.volume=169&rft.issue=3&rft.spage=140&rft.epage=147&rft.pages=140-147&rft.issn=1755-0777&rft.eissn=1755-0785&rft_id=info:doi/10.1680/jencm.15.00023&rft_dat=%3Cproquest_cross%3E4320730391%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c307t-e998d4f08fc8d2c6eef08cceda273414f0fd402be7518b57a9cf426891ba906f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1877429308&rft_id=info:pmid/&rfr_iscdi=true