Probability Integration by Directional Simulation
Reliability evaluation methods based on directional simulation for structural reliability analysis is treated herein. The methods can be used to check results obtained by a first- or second-order reliability method. Directional importance sampling based on first- and second-order reliability results...
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Veröffentlicht in: | Journal of engineering mechanics 1988-08, Vol.114 (8), p.1285-1302 |
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container_title | Journal of engineering mechanics |
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description | Reliability evaluation methods based on directional simulation for structural reliability analysis is treated herein. The methods can be used to check results obtained by a first- or second-order reliability method. Directional importance sampling based on first- and second-order reliability results is used to reduce the variance on the probability estimator. Sampling densities and procedures for important types of failure surfaces considered in the space of independent and standardized Gaussian variables are set up. The types include hyper-spheres, hyperplanes, rotationally symmetrical hyperparaboloids, surfaces defining a convex polyhedral failure set, as well as series-systems failure surfaces. |
doi_str_mv | 10.1061/(ASCE)0733-9399(1988)114:8(1285) |
format | Article |
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The methods can be used to check results obtained by a first- or second-order reliability method. Directional importance sampling based on first- and second-order reliability results is used to reduce the variance on the probability estimator. Sampling densities and procedures for important types of failure surfaces considered in the space of independent and standardized Gaussian variables are set up. The types include hyper-spheres, hyperplanes, rotationally symmetrical hyperparaboloids, surfaces defining a convex polyhedral failure set, as well as series-systems failure surfaces.</description><identifier>ISSN: 0733-9399</identifier><identifier>EISSN: 1943-7889</identifier><identifier>DOI: 10.1061/(ASCE)0733-9399(1988)114:8(1285)</identifier><identifier>CODEN: JENMDT</identifier><language>eng</language><publisher>Reston, VA: American Society of Civil Engineers</publisher><subject>Applied sciences ; Buildings. Public works ; Computation methods. Tables. 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The methods can be used to check results obtained by a first- or second-order reliability method. Directional importance sampling based on first- and second-order reliability results is used to reduce the variance on the probability estimator. Sampling densities and procedures for important types of failure surfaces considered in the space of independent and standardized Gaussian variables are set up. The types include hyper-spheres, hyperplanes, rotationally symmetrical hyperparaboloids, surfaces defining a convex polyhedral failure set, as well as series-systems failure surfaces.</description><subject>Applied sciences</subject><subject>Buildings. Public works</subject><subject>Computation methods. Tables. Charts</subject><subject>Exact sciences and technology</subject><subject>Structural analysis. 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Public works</topic><topic>Computation methods. Tables. Charts</topic><topic>Exact sciences and technology</topic><topic>Structural analysis. Stresses</topic><topic>TECHNICAL PAPERS</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bjerager, Peter</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Earthquake Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><jtitle>Journal of engineering mechanics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bjerager, Peter</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Probability Integration by Directional Simulation</atitle><jtitle>Journal of engineering mechanics</jtitle><date>1988-08-01</date><risdate>1988</risdate><volume>114</volume><issue>8</issue><spage>1285</spage><epage>1302</epage><pages>1285-1302</pages><issn>0733-9399</issn><eissn>1943-7889</eissn><coden>JENMDT</coden><abstract>Reliability evaluation methods based on directional simulation for structural reliability analysis is treated herein. The methods can be used to check results obtained by a first- or second-order reliability method. Directional importance sampling based on first- and second-order reliability results is used to reduce the variance on the probability estimator. Sampling densities and procedures for important types of failure surfaces considered in the space of independent and standardized Gaussian variables are set up. The types include hyper-spheres, hyperplanes, rotationally symmetrical hyperparaboloids, surfaces defining a convex polyhedral failure set, as well as series-systems failure surfaces.</abstract><cop>Reston, VA</cop><pub>American Society of Civil Engineers</pub><doi>10.1061/(ASCE)0733-9399(1988)114:8(1285)</doi><tpages>18</tpages></addata></record> |
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source | American Society of Civil Engineers:NESLI2:Journals:2014 |
subjects | Applied sciences Buildings. Public works Computation methods. Tables. Charts Exact sciences and technology Structural analysis. Stresses TECHNICAL PAPERS |
title | Probability Integration by Directional Simulation |
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