A New Sampling Approach for Response Surface Method Based Reliability Analysis and Its Application
A response surface method based on the all sample point interpolation approach (ASPIA) is proposed to improve the efficiency of reliability computation. ASPIA obtains new sample points through linear interpolation. These new sample points are occasionally extremely dense, thus easily generating an i...
Gespeichert in:
Veröffentlicht in: | Advances in Mechanical Engineering 2015-01, Vol.7 (1), p.1 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 1 |
container_start_page | 1 |
container_title | Advances in Mechanical Engineering |
container_volume | 7 |
creator | Meng, Xin-Jia Jing, Shi-Kai Zhang, Li-Xiang Liu, Ji-Hong Yang, Hai-Cheng |
description | A response surface method based on the all sample point interpolation approach (ASPIA) is proposed to improve the efficiency of reliability computation. ASPIA obtains new sample points through linear interpolation. These new sample points are occasionally extremely dense, thus easily generating an ill-conditioned problem for approximation functions. A mobile most probable failure point strategy is used to solve this problem. The advantage of the proposed method is proven by two numerical examples. With the ASPIA, the approximated process can rapidly approach the actual limit equation with accuracy. Additionally, there are no difficulties in applying the proposed ASPIA to the response surface model with or without cross terms. Solution results for the numerical examples indicate that the use of the response surface function with cross terms increases time cost, but result accuracy cannot be improved significantly. Finally, the proposed method is successfully used to analyze the reliability of the hydraulic cylinder of a forging hydraulic press by combining MATLAB and ANSYS software. The engineering example confirms the practicality of this method. |
doi_str_mv | 10.1155/2014/305473 |
format | Article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_proquest_journals_1812641940</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1155_2014/305473</sage_id><doaj_id>oai_doaj_org_article_2d057486c21c4a149f5ffc128b6e5b41</doaj_id><sourcerecordid>4152925011</sourcerecordid><originalsourceid>FETCH-LOGICAL-c397t-3c76854071e6f0ae2d8b76cc8c2c6e4dca638c13a9524e52f6d3d0e7774292a63</originalsourceid><addsrcrecordid>eNptkc1q3DAURk1poCHNqi8g6KZQJiPJ-vNyGppkIE0gSdfiWrqaUXAsV_IQ5u3jqcPQRVdX3O9whPRV1RdGLxiTcskpE8uaSqHrD9UpU0YvDBP04_Fc80_VeSmxpZIqSlXTnFbtitzhK3mEl6GL_YashiEncFsSUiYPWIbUFySPuxzAIfmF4zZ58gMK-intIrSxi-OerHro9iUWAr0n67EcPF10MMbUf65OAnQFz9_nWfX76ufT5c3i9v56fbm6Xbi60eOidloZKahmqAIF5N60WjlnHHcKhXegauNYDY3kAiUPyteeotZa8IZP4Vm1nr0-wbMdcnyBvLcJov27SHljIY_RdWi5p1ILoxxnTgATTZAhOMZNq1C2gk2ur7Nr-o0_OyyjfU67PD2yWGYYV4I1gk7U95lyOZWSMRxvZdQeOrGHTuzcyUR_m-kCG_zH9x_0DTpoiHY</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1812641940</pqid></control><display><type>article</type><title>A New Sampling Approach for Response Surface Method Based Reliability Analysis and Its Application</title><source>DOAJ Directory of Open Access Journals</source><source>Sage Journals GOLD Open Access 2024</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Meng, Xin-Jia ; Jing, Shi-Kai ; Zhang, Li-Xiang ; Liu, Ji-Hong ; Yang, Hai-Cheng</creator><creatorcontrib>Meng, Xin-Jia ; Jing, Shi-Kai ; Zhang, Li-Xiang ; Liu, Ji-Hong ; Yang, Hai-Cheng</creatorcontrib><description>A response surface method based on the all sample point interpolation approach (ASPIA) is proposed to improve the efficiency of reliability computation. ASPIA obtains new sample points through linear interpolation. These new sample points are occasionally extremely dense, thus easily generating an ill-conditioned problem for approximation functions. A mobile most probable failure point strategy is used to solve this problem. The advantage of the proposed method is proven by two numerical examples. With the ASPIA, the approximated process can rapidly approach the actual limit equation with accuracy. Additionally, there are no difficulties in applying the proposed ASPIA to the response surface model with or without cross terms. Solution results for the numerical examples indicate that the use of the response surface function with cross terms increases time cost, but result accuracy cannot be improved significantly. Finally, the proposed method is successfully used to analyze the reliability of the hydraulic cylinder of a forging hydraulic press by combining MATLAB and ANSYS software. The engineering example confirms the practicality of this method.</description><identifier>ISSN: 1687-8132</identifier><identifier>EISSN: 1687-8140</identifier><identifier>EISSN: 1687-8132</identifier><identifier>DOI: 10.1155/2014/305473</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><ispartof>Advances in Mechanical Engineering, 2015-01, Vol.7 (1), p.1</ispartof><rights>2015 Xin-Jia Meng et al.</rights><rights>Copyright Sage Publications Ltd. Jan 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c397t-3c76854071e6f0ae2d8b76cc8c2c6e4dca638c13a9524e52f6d3d0e7774292a63</citedby><cites>FETCH-LOGICAL-c397t-3c76854071e6f0ae2d8b76cc8c2c6e4dca638c13a9524e52f6d3d0e7774292a63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1155/2014/305473$$EPDF$$P50$$Gsage$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1155/2014/305473$$EHTML$$P50$$Gsage$$Hfree_for_read</linktohtml><link.rule.ids>314,778,782,862,21953,27840,27911,27912,44932,45320</link.rule.ids></links><search><creatorcontrib>Meng, Xin-Jia</creatorcontrib><creatorcontrib>Jing, Shi-Kai</creatorcontrib><creatorcontrib>Zhang, Li-Xiang</creatorcontrib><creatorcontrib>Liu, Ji-Hong</creatorcontrib><creatorcontrib>Yang, Hai-Cheng</creatorcontrib><title>A New Sampling Approach for Response Surface Method Based Reliability Analysis and Its Application</title><title>Advances in Mechanical Engineering</title><description>A response surface method based on the all sample point interpolation approach (ASPIA) is proposed to improve the efficiency of reliability computation. ASPIA obtains new sample points through linear interpolation. These new sample points are occasionally extremely dense, thus easily generating an ill-conditioned problem for approximation functions. A mobile most probable failure point strategy is used to solve this problem. The advantage of the proposed method is proven by two numerical examples. With the ASPIA, the approximated process can rapidly approach the actual limit equation with accuracy. Additionally, there are no difficulties in applying the proposed ASPIA to the response surface model with or without cross terms. Solution results for the numerical examples indicate that the use of the response surface function with cross terms increases time cost, but result accuracy cannot be improved significantly. Finally, the proposed method is successfully used to analyze the reliability of the hydraulic cylinder of a forging hydraulic press by combining MATLAB and ANSYS software. The engineering example confirms the practicality of this method.</description><issn>1687-8132</issn><issn>1687-8140</issn><issn>1687-8132</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>AFRWT</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>DOA</sourceid><recordid>eNptkc1q3DAURk1poCHNqi8g6KZQJiPJ-vNyGppkIE0gSdfiWrqaUXAsV_IQ5u3jqcPQRVdX3O9whPRV1RdGLxiTcskpE8uaSqHrD9UpU0YvDBP04_Fc80_VeSmxpZIqSlXTnFbtitzhK3mEl6GL_YashiEncFsSUiYPWIbUFySPuxzAIfmF4zZ58gMK-intIrSxi-OerHro9iUWAr0n67EcPF10MMbUf65OAnQFz9_nWfX76ufT5c3i9v56fbm6Xbi60eOidloZKahmqAIF5N60WjlnHHcKhXegauNYDY3kAiUPyteeotZa8IZP4Vm1nr0-wbMdcnyBvLcJov27SHljIY_RdWi5p1ILoxxnTgATTZAhOMZNq1C2gk2ur7Nr-o0_OyyjfU67PD2yWGYYV4I1gk7U95lyOZWSMRxvZdQeOrGHTuzcyUR_m-kCG_zH9x_0DTpoiHY</recordid><startdate>201501</startdate><enddate>201501</enddate><creator>Meng, Xin-Jia</creator><creator>Jing, Shi-Kai</creator><creator>Zhang, Li-Xiang</creator><creator>Liu, Ji-Hong</creator><creator>Yang, Hai-Cheng</creator><general>SAGE Publications</general><general>Sage Publications Ltd</general><general>SAGE Publishing</general><scope>AFRWT</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>L7M</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>DOA</scope></search><sort><creationdate>201501</creationdate><title>A New Sampling Approach for Response Surface Method Based Reliability Analysis and Its Application</title><author>Meng, Xin-Jia ; Jing, Shi-Kai ; Zhang, Li-Xiang ; Liu, Ji-Hong ; Yang, Hai-Cheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c397t-3c76854071e6f0ae2d8b76cc8c2c6e4dca638c13a9524e52f6d3d0e7774292a63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Meng, Xin-Jia</creatorcontrib><creatorcontrib>Jing, Shi-Kai</creatorcontrib><creatorcontrib>Zhang, Li-Xiang</creatorcontrib><creatorcontrib>Liu, Ji-Hong</creatorcontrib><creatorcontrib>Yang, Hai-Cheng</creatorcontrib><collection>Sage Journals GOLD Open Access 2024</collection><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Engineering Database</collection><collection>Publicly Available Content 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>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Advances in Mechanical Engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Meng, Xin-Jia</au><au>Jing, Shi-Kai</au><au>Zhang, Li-Xiang</au><au>Liu, Ji-Hong</au><au>Yang, Hai-Cheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A New Sampling Approach for Response Surface Method Based Reliability Analysis and Its Application</atitle><jtitle>Advances in Mechanical Engineering</jtitle><date>2015-01</date><risdate>2015</risdate><volume>7</volume><issue>1</issue><spage>1</spage><pages>1-</pages><issn>1687-8132</issn><eissn>1687-8140</eissn><eissn>1687-8132</eissn><abstract>A response surface method based on the all sample point interpolation approach (ASPIA) is proposed to improve the efficiency of reliability computation. ASPIA obtains new sample points through linear interpolation. These new sample points are occasionally extremely dense, thus easily generating an ill-conditioned problem for approximation functions. A mobile most probable failure point strategy is used to solve this problem. The advantage of the proposed method is proven by two numerical examples. With the ASPIA, the approximated process can rapidly approach the actual limit equation with accuracy. Additionally, there are no difficulties in applying the proposed ASPIA to the response surface model with or without cross terms. Solution results for the numerical examples indicate that the use of the response surface function with cross terms increases time cost, but result accuracy cannot be improved significantly. Finally, the proposed method is successfully used to analyze the reliability of the hydraulic cylinder of a forging hydraulic press by combining MATLAB and ANSYS software. The engineering example confirms the practicality of this method.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><doi>10.1155/2014/305473</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1687-8132 |
ispartof | Advances in Mechanical Engineering, 2015-01, Vol.7 (1), p.1 |
issn | 1687-8132 1687-8140 1687-8132 |
language | eng |
recordid | cdi_proquest_journals_1812641940 |
source | DOAJ Directory of Open Access Journals; Sage Journals GOLD Open Access 2024; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
title | A New Sampling Approach for Response Surface Method Based Reliability Analysis and Its Application |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T10%3A36%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20New%20Sampling%20Approach%20for%20Response%20Surface%20Method%20Based%20Reliability%20Analysis%20and%20Its%20Application&rft.jtitle=Advances%20in%20Mechanical%20Engineering&rft.au=Meng,%20Xin-Jia&rft.date=2015-01&rft.volume=7&rft.issue=1&rft.spage=1&rft.pages=1-&rft.issn=1687-8132&rft.eissn=1687-8140&rft_id=info:doi/10.1155/2014/305473&rft_dat=%3Cproquest_doaj_%3E4152925011%3C/proquest_doaj_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1812641940&rft_id=info:pmid/&rft_sage_id=10.1155_2014/305473&rft_doaj_id=oai_doaj_org_article_2d057486c21c4a149f5ffc128b6e5b41&rfr_iscdi=true |