STRUCTURAL RELIABILITY ANALYSIS USING CHARGED SYSTEM SEARCH ALGORITHM
This paper focuses on the design point and the failure probability of problems with continuous random variables. The charged system search (CSS) algorithm is utilized as the optimization tool to achieve minimum reliability index under limit state function. In order to acquire the optimal solution, r...
Gespeichert in:
| Veröffentlicht in: | Iranian journal of science and technology. Transactions of civil engineering 2014-08, Vol.38 (C2), p.439-439 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 439 |
|---|---|
| container_issue | C2 |
| container_start_page | 439 |
| container_title | Iranian journal of science and technology. Transactions of civil engineering |
| container_volume | 38 |
| creator | Kaveh, A Massoudi, M S Bagha, M Ghanoonini |
| description | This paper focuses on the design point and the failure probability of problems with continuous random variables. The charged system search (CSS) algorithm is utilized as the optimization tool to achieve minimum reliability index under limit state function. In order to acquire the optimal solution, random variables such as elastic modulus, loads, and geometric parameters are selected as decision variables of the problem which are optimized by means of the CSS algorithm. This algorithm is inspired by the Coulomb and Gauss's laws of electrostatics from physics. In order to evaluate the accuracy and efficiency of this algorithm, several numerical examples are studied and the results are compared to those of the existing methods. The proposed method is capable of finding a design point over the failure surface and calculates the reliability index with a reasonable accurately. As the proposed framework enforces low computational time and holds a satisfactory convergence rate, it is a competent methodology to calculate different types of reliability problems. |
| format | Article |
| fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_1642217761</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1642217761</sourcerecordid><originalsourceid>FETCH-LOGICAL-p216t-8c3c02de1e7cda30637959e6a45bbd982da467c2a360b6f514b560c86ef9678f3</originalsourceid><addsrcrecordid>eNpdj0FrgzAYhj1ssNL1PwR22UVIon6Jx8w5DaQtJPHgqUSNsOJq19T_P2E77fReHl6e5yHaUEp5DATwU7QL4YwxJpglGPgmKo3VTWEbLRTSpZLiTSppWyQOQrVGGtQYeahQUQtdle_ItMaWe2RKoYsaCVUdtbT1_jl6HN0U_O5vt1HzUdqijtWxkoVQ8ZUSuMe8T3pMB0886we3CiQsz3IPLs26bsg5HVwKrKcuAdzBmJG0ywD3HPyYA-Njso1ef3-vt_l78eF--voMvZ8md_HzEk4EUkoJY0BW9OUfep6X22W1WynC13iWpskP9GROBA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1618068744</pqid></control><display><type>article</type><title>STRUCTURAL RELIABILITY ANALYSIS USING CHARGED SYSTEM SEARCH ALGORITHM</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Kaveh, A ; Massoudi, M S ; Bagha, M Ghanoonini</creator><creatorcontrib>Kaveh, A ; Massoudi, M S ; Bagha, M Ghanoonini</creatorcontrib><description>This paper focuses on the design point and the failure probability of problems with continuous random variables. The charged system search (CSS) algorithm is utilized as the optimization tool to achieve minimum reliability index under limit state function. In order to acquire the optimal solution, random variables such as elastic modulus, loads, and geometric parameters are selected as decision variables of the problem which are optimized by means of the CSS algorithm. This algorithm is inspired by the Coulomb and Gauss's laws of electrostatics from physics. In order to evaluate the accuracy and efficiency of this algorithm, several numerical examples are studied and the results are compared to those of the existing methods. The proposed method is capable of finding a design point over the failure surface and calculates the reliability index with a reasonable accurately. As the proposed framework enforces low computational time and holds a satisfactory convergence rate, it is a competent methodology to calculate different types of reliability problems.</description><identifier>ISSN: 2228-6160</identifier><language>eng</language><publisher>Shiraz: Springer Nature B.V</publisher><subject>Algorithms ; Charging ; Design engineering ; Design optimization ; Expected values ; Failure ; Heuristic ; Mathematical analysis ; Mathematical models ; Methods ; Monte Carlo simulation ; Normal distribution ; Optimization ; Optimization techniques ; Probability distribution ; Random variables ; Reliability engineering ; Standard deviation ; Structural engineering ; Studies</subject><ispartof>Iranian journal of science and technology. Transactions of civil engineering, 2014-08, Vol.38 (C2), p.439-439</ispartof><rights>Copyright Iranian Journal of Science and Technology Aug 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780</link.rule.ids></links><search><creatorcontrib>Kaveh, A</creatorcontrib><creatorcontrib>Massoudi, M S</creatorcontrib><creatorcontrib>Bagha, M Ghanoonini</creatorcontrib><title>STRUCTURAL RELIABILITY ANALYSIS USING CHARGED SYSTEM SEARCH ALGORITHM</title><title>Iranian journal of science and technology. Transactions of civil engineering</title><description>This paper focuses on the design point and the failure probability of problems with continuous random variables. The charged system search (CSS) algorithm is utilized as the optimization tool to achieve minimum reliability index under limit state function. In order to acquire the optimal solution, random variables such as elastic modulus, loads, and geometric parameters are selected as decision variables of the problem which are optimized by means of the CSS algorithm. This algorithm is inspired by the Coulomb and Gauss's laws of electrostatics from physics. In order to evaluate the accuracy and efficiency of this algorithm, several numerical examples are studied and the results are compared to those of the existing methods. The proposed method is capable of finding a design point over the failure surface and calculates the reliability index with a reasonable accurately. As the proposed framework enforces low computational time and holds a satisfactory convergence rate, it is a competent methodology to calculate different types of reliability problems.</description><subject>Algorithms</subject><subject>Charging</subject><subject>Design engineering</subject><subject>Design optimization</subject><subject>Expected values</subject><subject>Failure</subject><subject>Heuristic</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Methods</subject><subject>Monte Carlo simulation</subject><subject>Normal distribution</subject><subject>Optimization</subject><subject>Optimization techniques</subject><subject>Probability distribution</subject><subject>Random variables</subject><subject>Reliability engineering</subject><subject>Standard deviation</subject><subject>Structural engineering</subject><subject>Studies</subject><issn>2228-6160</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpdj0FrgzAYhj1ssNL1PwR22UVIon6Jx8w5DaQtJPHgqUSNsOJq19T_P2E77fReHl6e5yHaUEp5DATwU7QL4YwxJpglGPgmKo3VTWEbLRTSpZLiTSppWyQOQrVGGtQYeahQUQtdle_ItMaWe2RKoYsaCVUdtbT1_jl6HN0U_O5vt1HzUdqijtWxkoVQ8ZUSuMe8T3pMB0886we3CiQsz3IPLs26bsg5HVwKrKcuAdzBmJG0ywD3HPyYA-Njso1ef3-vt_l78eF--voMvZ8md_HzEk4EUkoJY0BW9OUfep6X22W1WynC13iWpskP9GROBA</recordid><startdate>20140801</startdate><enddate>20140801</enddate><creator>Kaveh, A</creator><creator>Massoudi, M S</creator><creator>Bagha, M Ghanoonini</creator><general>Springer Nature B.V</general><scope>3V.</scope><scope>7WY</scope><scope>7XB</scope><scope>883</scope><scope>8AF</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>KR7</scope><scope>L.-</scope><scope>L6V</scope><scope>M0F</scope><scope>M2O</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PADUT</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>PYYUZ</scope><scope>Q9U</scope><scope>7SC</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20140801</creationdate><title>STRUCTURAL RELIABILITY ANALYSIS USING CHARGED SYSTEM SEARCH ALGORITHM</title><author>Kaveh, A ; Massoudi, M S ; Bagha, M Ghanoonini</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p216t-8c3c02de1e7cda30637959e6a45bbd982da467c2a360b6f514b560c86ef9678f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Algorithms</topic><topic>Charging</topic><topic>Design engineering</topic><topic>Design optimization</topic><topic>Expected values</topic><topic>Failure</topic><topic>Heuristic</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Methods</topic><topic>Monte Carlo simulation</topic><topic>Normal distribution</topic><topic>Optimization</topic><topic>Optimization techniques</topic><topic>Probability distribution</topic><topic>Random variables</topic><topic>Reliability engineering</topic><topic>Standard deviation</topic><topic>Structural engineering</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kaveh, A</creatorcontrib><creatorcontrib>Massoudi, M S</creatorcontrib><creatorcontrib>Bagha, M Ghanoonini</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Trade & Industry (Alumni Edition)</collection><collection>STEM Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East & Africa Database</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Trade & Industry</collection><collection>Research Library</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Research Library China</collection><collection>Environmental Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</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>Environmental Science Collection</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Computer Science Collection</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>Iranian journal of science and technology. Transactions of civil engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kaveh, A</au><au>Massoudi, M S</au><au>Bagha, M Ghanoonini</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>STRUCTURAL RELIABILITY ANALYSIS USING CHARGED SYSTEM SEARCH ALGORITHM</atitle><jtitle>Iranian journal of science and technology. Transactions of civil engineering</jtitle><date>2014-08-01</date><risdate>2014</risdate><volume>38</volume><issue>C2</issue><spage>439</spage><epage>439</epage><pages>439-439</pages><issn>2228-6160</issn><abstract>This paper focuses on the design point and the failure probability of problems with continuous random variables. The charged system search (CSS) algorithm is utilized as the optimization tool to achieve minimum reliability index under limit state function. In order to acquire the optimal solution, random variables such as elastic modulus, loads, and geometric parameters are selected as decision variables of the problem which are optimized by means of the CSS algorithm. This algorithm is inspired by the Coulomb and Gauss's laws of electrostatics from physics. In order to evaluate the accuracy and efficiency of this algorithm, several numerical examples are studied and the results are compared to those of the existing methods. The proposed method is capable of finding a design point over the failure surface and calculates the reliability index with a reasonable accurately. As the proposed framework enforces low computational time and holds a satisfactory convergence rate, it is a competent methodology to calculate different types of reliability problems.</abstract><cop>Shiraz</cop><pub>Springer Nature B.V</pub><tpages>1</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2228-6160 |
| ispartof | Iranian journal of science and technology. Transactions of civil engineering, 2014-08, Vol.38 (C2), p.439-439 |
| issn | 2228-6160 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1642217761 |
| source | EZB-FREE-00999 freely available EZB journals |
| subjects | Algorithms Charging Design engineering Design optimization Expected values Failure Heuristic Mathematical analysis Mathematical models Methods Monte Carlo simulation Normal distribution Optimization Optimization techniques Probability distribution Random variables Reliability engineering Standard deviation Structural engineering Studies |
| title | STRUCTURAL RELIABILITY ANALYSIS USING CHARGED SYSTEM SEARCH ALGORITHM |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T13%3A01%3A27IST&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=STRUCTURAL%20RELIABILITY%20ANALYSIS%20USING%20CHARGED%20SYSTEM%20SEARCH%20ALGORITHM&rft.jtitle=Iranian%20journal%20of%20science%20and%20technology.%20Transactions%20of%20civil%20engineering&rft.au=Kaveh,%20A&rft.date=2014-08-01&rft.volume=38&rft.issue=C2&rft.spage=439&rft.epage=439&rft.pages=439-439&rft.issn=2228-6160&rft_id=info:doi/&rft_dat=%3Cproquest%3E1642217761%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1618068744&rft_id=info:pmid/&rfr_iscdi=true |