Probabilistic Durability Assessment of Concrete Structures in Marine Environments： Reliability and Sensitivity Analysis
A probabilistic framework for durability assessment of concrete structures in marine environments was proposed in terms of reliability and sensitivity analysis, which takes into account the uncertainties under the environmental,material, structural and executional conditions. A time-dependent probab...
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| Veröffentlicht in: | China ocean engineering 2017-03, Vol.31 (1), p.63-73 |
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| description | A probabilistic framework for durability assessment of concrete structures in marine environments was proposed in terms of reliability and sensitivity analysis, which takes into account the uncertainties under the environmental,material, structural and executional conditions. A time-dependent probabilistic model of chloride ingress was established first to consider the variations in various governing parameters, such as the chloride concentration,chloride diffusion coefficient, and age factor. Then the Nataf transformation was adopted to transform the nonnormal random variables from the original physical space into the independent standard Normal space. After that the durability limit state function and its gradient vector with respect to the original physical parameters were derived analytically, based on which the first-order reliability method was adopted to analyze the time-dependent reliability and parametric sensitivity of concrete structures in marine environments. The accuracy of the proposed method was verified by comparing with the second-order reliability method and the Monte Carlo simulation. Finally, the influences of environmental conditions, material properties, structural parameters and execution conditions on the time-dependent reliability of concrete structures in marine environments were also investigated. The proposed probabilistic framework can be implemented in the decision-making algorithm for the maintenance and repair of deteriorating concrete structures in marine environments. |
| doi_str_mv | 10.1007/s13344-017-0008-3 |
| format | Article |
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A time-dependent probabilistic model of chloride ingress was established first to consider the variations in various governing parameters, such as the chloride concentration,chloride diffusion coefficient, and age factor. Then the Nataf transformation was adopted to transform the nonnormal random variables from the original physical space into the independent standard Normal space. After that the durability limit state function and its gradient vector with respect to the original physical parameters were derived analytically, based on which the first-order reliability method was adopted to analyze the time-dependent reliability and parametric sensitivity of concrete structures in marine environments. The accuracy of the proposed method was verified by comparing with the second-order reliability method and the Monte Carlo simulation. Finally, the influences of environmental conditions, material properties, structural parameters and execution conditions on the time-dependent reliability of concrete structures in marine environments were also investigated. The proposed probabilistic framework can be implemented in the decision-making algorithm for the maintenance and repair of deteriorating concrete structures in marine environments.</description><identifier>ISSN: 0890-5487</identifier><identifier>EISSN: 2191-8945</identifier><identifier>DOI: 10.1007/s13344-017-0008-3</identifier><language>eng</language><publisher>Nanjing: Chinese Ocean Engineering Society</publisher><subject>Age factors ; Algorithms ; Chlorides ; Coastal Sciences ; Concrete ; Concrete structures ; Decision making ; Diffusion coefficient ; Durability ; Dye dispersion ; Engineering ; Environmental assessment ; Environmental conditions ; Fluid- and Aerodynamics ; Frameworks ; Limit states ; Maintenance ; Marine & Freshwater Sciences ; Marine environment ; Material properties ; Mathematical models ; Monte Carlo simulation ; Numerical and Computational Physics ; Oceanography ; Offshore Engineering ; Offshore structures ; Parameter sensitivity ; Parameters ; Physical properties ; Probabilistic models ; Random variables ; Reliability ; Reliability analysis ; Reliability aspects ; Reliability engineering ; Sensitivity analysis ; Simulation ; Statistical methods ; Structural reliability ; Time dependence ; Toughness ; 一阶可靠性方法 ; 二阶可靠性方法 ; 概率模型 ; 海洋环境 ; 混凝土结构 ; 灵敏度分析 ; 耐久性评估 ; 非正态随机变量</subject><ispartof>China ocean engineering, 2017-03, Vol.31 (1), p.63-73</ispartof><rights>Chinese Ocean Engineering Society and Springer-Verlag Berlin Heidelberg 2017</rights><rights>Copyright Springer Science & Business Media 2017</rights><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c420t-e750261f60e7a53983fe5a409fd0924e509d9fbe6890db7f3e1254cfa298c5b33</citedby><cites>FETCH-LOGICAL-c420t-e750261f60e7a53983fe5a409fd0924e509d9fbe6890db7f3e1254cfa298c5b33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/86654A/86654A.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s13344-017-0008-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s13344-017-0008-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27907,27908,41471,42540,51302</link.rule.ids></links><search><creatorcontrib>Yu, Bo</creatorcontrib><creatorcontrib>Ning, Chao-lie</creatorcontrib><creatorcontrib>Li, Bing</creatorcontrib><title>Probabilistic Durability Assessment of Concrete Structures in Marine Environments： Reliability and Sensitivity Analysis</title><title>China ocean engineering</title><addtitle>China Ocean Eng</addtitle><addtitle>China Ocean Engineering</addtitle><description>A probabilistic framework for durability assessment of concrete structures in marine environments was proposed in terms of reliability and sensitivity analysis, which takes into account the uncertainties under the environmental,material, structural and executional conditions. A time-dependent probabilistic model of chloride ingress was established first to consider the variations in various governing parameters, such as the chloride concentration,chloride diffusion coefficient, and age factor. Then the Nataf transformation was adopted to transform the nonnormal random variables from the original physical space into the independent standard Normal space. After that the durability limit state function and its gradient vector with respect to the original physical parameters were derived analytically, based on which the first-order reliability method was adopted to analyze the time-dependent reliability and parametric sensitivity of concrete structures in marine environments. The accuracy of the proposed method was verified by comparing with the second-order reliability method and the Monte Carlo simulation. Finally, the influences of environmental conditions, material properties, structural parameters and execution conditions on the time-dependent reliability of concrete structures in marine environments were also investigated. The proposed probabilistic framework can be implemented in the decision-making algorithm for the maintenance and repair of deteriorating concrete structures in marine environments.</description><subject>Age factors</subject><subject>Algorithms</subject><subject>Chlorides</subject><subject>Coastal Sciences</subject><subject>Concrete</subject><subject>Concrete structures</subject><subject>Decision making</subject><subject>Diffusion coefficient</subject><subject>Durability</subject><subject>Dye dispersion</subject><subject>Engineering</subject><subject>Environmental assessment</subject><subject>Environmental conditions</subject><subject>Fluid- and Aerodynamics</subject><subject>Frameworks</subject><subject>Limit states</subject><subject>Maintenance</subject><subject>Marine & Freshwater Sciences</subject><subject>Marine environment</subject><subject>Material properties</subject><subject>Mathematical models</subject><subject>Monte Carlo simulation</subject><subject>Numerical and Computational Physics</subject><subject>Oceanography</subject><subject>Offshore Engineering</subject><subject>Offshore structures</subject><subject>Parameter sensitivity</subject><subject>Parameters</subject><subject>Physical properties</subject><subject>Probabilistic models</subject><subject>Random variables</subject><subject>Reliability</subject><subject>Reliability analysis</subject><subject>Reliability aspects</subject><subject>Reliability engineering</subject><subject>Sensitivity analysis</subject><subject>Simulation</subject><subject>Statistical methods</subject><subject>Structural reliability</subject><subject>Time dependence</subject><subject>Toughness</subject><subject>一阶可靠性方法</subject><subject>二阶可靠性方法</subject><subject>概率模型</subject><subject>海洋环境</subject><subject>混凝土结构</subject><subject>灵敏度分析</subject><subject>耐久性评估</subject><subject>非正态随机变量</subject><issn>0890-5487</issn><issn>2191-8945</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9kc1u1TAQhSMEEpfCA7CzYMUiMI7t2F5Wl9IiFRVRWFtO7jh1deu0nqRVeJQ-S9-JVyC3aYEVq9FI3znzc4riNYf3HEB_IC6ElCVwXQKAKcWTYlVxy0tjpXparMBYKJU0-nnxgugcQHEl-aqYvua-8U3cRhpiyz6O-b4ZJrZPhEQXmAbWB7buU5txQHY65LEdxozEYmJffI4J2UG6jrlPO5h-3d2yb7iNjz4-bdgpJopDvL73TX47UaSXxbPgt4SvHupe8ePTwff1UXl8cvh5vX9ctrKCoUStoKp5qAG1V8IaEVB5CTZswFYSFdiNDQ3W84GbRgeBvFKyDb6yplWNEHvFu8X3xqfgU-fO-zHPO5D72Z1NXeuwmr8G8xfNzL5d2MvcX41Iw1-YGwPaCqH1TPGFanNPlDG4yxwvfJ4cB7dLwy1puNnX7dJwuy2qRUMzmzrM_zj_R_TmYdBZn7qrWfdnUq25NErXlfgN_TGbPg</recordid><startdate>20170301</startdate><enddate>20170301</enddate><creator>Yu, Bo</creator><creator>Ning, Chao-lie</creator><creator>Li, Bing</creator><general>Chinese Ocean Engineering Society</general><general>Springer Nature B.V</general><general>Key Laboratory of Disaster Prevention and Structural Safety of the Ministry of Education, China, School of Civil Engineering & Architecture, Guangxi University, Nanning 530004, China%Shanghai Institute of Disaster Prevention and Relief, Tongji University, Shanghai 200092, China%Natural Hazard Research Centre(NHRC), Nanyang Technological University, Singapore 639798</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W94</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20170301</creationdate><title>Probabilistic Durability Assessment of Concrete Structures in Marine Environments： Reliability and Sensitivity Analysis</title><author>Yu, Bo ; Ning, Chao-lie ; Li, Bing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c420t-e750261f60e7a53983fe5a409fd0924e509d9fbe6890db7f3e1254cfa298c5b33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Age factors</topic><topic>Algorithms</topic><topic>Chlorides</topic><topic>Coastal Sciences</topic><topic>Concrete</topic><topic>Concrete structures</topic><topic>Decision making</topic><topic>Diffusion coefficient</topic><topic>Durability</topic><topic>Dye dispersion</topic><topic>Engineering</topic><topic>Environmental assessment</topic><topic>Environmental conditions</topic><topic>Fluid- and Aerodynamics</topic><topic>Frameworks</topic><topic>Limit states</topic><topic>Maintenance</topic><topic>Marine & Freshwater Sciences</topic><topic>Marine environment</topic><topic>Material properties</topic><topic>Mathematical models</topic><topic>Monte Carlo simulation</topic><topic>Numerical and Computational Physics</topic><topic>Oceanography</topic><topic>Offshore Engineering</topic><topic>Offshore structures</topic><topic>Parameter sensitivity</topic><topic>Parameters</topic><topic>Physical properties</topic><topic>Probabilistic models</topic><topic>Random variables</topic><topic>Reliability</topic><topic>Reliability analysis</topic><topic>Reliability aspects</topic><topic>Reliability engineering</topic><topic>Sensitivity analysis</topic><topic>Simulation</topic><topic>Statistical methods</topic><topic>Structural reliability</topic><topic>Time dependence</topic><topic>Toughness</topic><topic>一阶可靠性方法</topic><topic>二阶可靠性方法</topic><topic>概率模型</topic><topic>海洋环境</topic><topic>混凝土结构</topic><topic>灵敏度分析</topic><topic>耐久性评估</topic><topic>非正态随机变量</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yu, Bo</creatorcontrib><creatorcontrib>Ning, Chao-lie</creatorcontrib><creatorcontrib>Li, Bing</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-自然科学</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>CrossRef</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>China ocean engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yu, Bo</au><au>Ning, Chao-lie</au><au>Li, Bing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Probabilistic Durability Assessment of Concrete Structures in Marine Environments： Reliability and Sensitivity Analysis</atitle><jtitle>China ocean engineering</jtitle><stitle>China Ocean Eng</stitle><addtitle>China Ocean Engineering</addtitle><date>2017-03-01</date><risdate>2017</risdate><volume>31</volume><issue>1</issue><spage>63</spage><epage>73</epage><pages>63-73</pages><issn>0890-5487</issn><eissn>2191-8945</eissn><abstract>A probabilistic framework for durability assessment of concrete structures in marine environments was proposed in terms of reliability and sensitivity analysis, which takes into account the uncertainties under the environmental,material, structural and executional conditions. A time-dependent probabilistic model of chloride ingress was established first to consider the variations in various governing parameters, such as the chloride concentration,chloride diffusion coefficient, and age factor. Then the Nataf transformation was adopted to transform the nonnormal random variables from the original physical space into the independent standard Normal space. After that the durability limit state function and its gradient vector with respect to the original physical parameters were derived analytically, based on which the first-order reliability method was adopted to analyze the time-dependent reliability and parametric sensitivity of concrete structures in marine environments. The accuracy of the proposed method was verified by comparing with the second-order reliability method and the Monte Carlo simulation. Finally, the influences of environmental conditions, material properties, structural parameters and execution conditions on the time-dependent reliability of concrete structures in marine environments were also investigated. The proposed probabilistic framework can be implemented in the decision-making algorithm for the maintenance and repair of deteriorating concrete structures in marine environments.</abstract><cop>Nanjing</cop><pub>Chinese Ocean Engineering Society</pub><doi>10.1007/s13344-017-0008-3</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | China ocean engineering, 2017-03, Vol.31 (1), p.63-73 |
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| source | Springer Nature - Complete Springer Journals; Alma/SFX Local Collection |
| subjects | Age factors Algorithms Chlorides Coastal Sciences Concrete Concrete structures Decision making Diffusion coefficient Durability Dye dispersion Engineering Environmental assessment Environmental conditions Fluid- and Aerodynamics Frameworks Limit states Maintenance Marine & Freshwater Sciences Marine environment Material properties Mathematical models Monte Carlo simulation Numerical and Computational Physics Oceanography Offshore Engineering Offshore structures Parameter sensitivity Parameters Physical properties Probabilistic models Random variables Reliability Reliability analysis Reliability aspects Reliability engineering Sensitivity analysis Simulation Statistical methods Structural reliability Time dependence Toughness 一阶可靠性方法 二阶可靠性方法 概率模型 海洋环境 混凝土结构 灵敏度分析 耐久性评估 非正态随机变量 |
| title | Probabilistic Durability Assessment of Concrete Structures in Marine Environments： Reliability and Sensitivity Analysis |
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