Structural inverse analysis of concrete dams: considering residual hydration heat effect on dam displacements
This paper studies the macro effect of residual hydration heat on dam displacements and the application of the metaheuristic algorithm in structural inverse analysis. Based on the one-dimension heat equation, this paper proposes an extended statistical model concerning the hydration heat effect for...
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| Veröffentlicht in: | Engineering with computers 2023-08, Vol.39 (4), p.2829-2849 |
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| creator | Yang, Lifu Wen, Zhiping Yan, Xiaoqun Hua, Qianyu Su, Huaizhi |
| description | This paper studies the macro effect of residual hydration heat on dam displacements and the application of the metaheuristic algorithm in structural inverse analysis. Based on the one-dimension heat equation, this paper proposes an extended statistical model concerning the hydration heat effect for dam health monitoring, in which the measured dam displacements are divided into hydrostatic, seasonal temperature, hydration heat, and aging components. A hybrid optimization algorithm is presented, which combines an improved particle swarm optimization (IPSO) with a beta differential evolution algorithm (BDE) and uses an annealing factor to adjust the percentage of use of IPSO and BDE. The monitoring data of a roller compacted concrete dam were taken as an example to verify the extended statistical model. The results demonstrate that the proposed hydration heat formulation is able to capture the long-term effect of residual hydration heat on dam displacements and the dissipation process of the residual hydration heat causes an increasing displacement upstream with time. Based on the results of the structural inverse analysis, the hydrostatic and seasonal components of dam displacements predicted by the finite element model are in excellent agreement with the ones separated by the statistical model, respectively. |
| doi_str_mv | 10.1007/s00366-022-01675-w |
| format | Article |
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Based on the one-dimension heat equation, this paper proposes an extended statistical model concerning the hydration heat effect for dam health monitoring, in which the measured dam displacements are divided into hydrostatic, seasonal temperature, hydration heat, and aging components. A hybrid optimization algorithm is presented, which combines an improved particle swarm optimization (IPSO) with a beta differential evolution algorithm (BDE) and uses an annealing factor to adjust the percentage of use of IPSO and BDE. The monitoring data of a roller compacted concrete dam were taken as an example to verify the extended statistical model. The results demonstrate that the proposed hydration heat formulation is able to capture the long-term effect of residual hydration heat on dam displacements and the dissipation process of the residual hydration heat causes an increasing displacement upstream with time. Based on the results of the structural inverse analysis, the hydrostatic and seasonal components of dam displacements predicted by the finite element model are in excellent agreement with the ones separated by the statistical model, respectively.</description><identifier>ISSN: 0177-0667</identifier><identifier>EISSN: 1435-5663</identifier><identifier>DOI: 10.1007/s00366-022-01675-w</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>Algorithms ; CAE) and Design ; Calculus of Variations and Optimal Control; Optimization ; Classical Mechanics ; Computer Science ; Computer-Aided Engineering (CAD ; Concrete dams ; Control ; Evolutionary algorithms ; Evolutionary computation ; Finite element method ; Heuristic methods ; High temperature effects ; Hydration ; Math. Applications in Chemistry ; Mathematical and Computational Engineering ; Original Article ; Particle swarm optimization ; Roller compacted concrete ; Statistical models ; Systems Theory ; Thermodynamics</subject><ispartof>Engineering with computers, 2023-08, Vol.39 (4), p.2829-2849</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022</rights><rights>The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c249t-85b8fa71a0ff3f59a75fe797ffb4da8b0c88e767621d470b1f684ee7457895bb3</citedby><cites>FETCH-LOGICAL-c249t-85b8fa71a0ff3f59a75fe797ffb4da8b0c88e767621d470b1f684ee7457895bb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00366-022-01675-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00366-022-01675-w$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Yang, Lifu</creatorcontrib><creatorcontrib>Wen, Zhiping</creatorcontrib><creatorcontrib>Yan, Xiaoqun</creatorcontrib><creatorcontrib>Hua, Qianyu</creatorcontrib><creatorcontrib>Su, Huaizhi</creatorcontrib><title>Structural inverse analysis of concrete dams: considering residual hydration heat effect on dam displacements</title><title>Engineering with computers</title><addtitle>Engineering with Computers</addtitle><description>This paper studies the macro effect of residual hydration heat on dam displacements and the application of the metaheuristic algorithm in structural inverse analysis. Based on the one-dimension heat equation, this paper proposes an extended statistical model concerning the hydration heat effect for dam health monitoring, in which the measured dam displacements are divided into hydrostatic, seasonal temperature, hydration heat, and aging components. A hybrid optimization algorithm is presented, which combines an improved particle swarm optimization (IPSO) with a beta differential evolution algorithm (BDE) and uses an annealing factor to adjust the percentage of use of IPSO and BDE. The monitoring data of a roller compacted concrete dam were taken as an example to verify the extended statistical model. The results demonstrate that the proposed hydration heat formulation is able to capture the long-term effect of residual hydration heat on dam displacements and the dissipation process of the residual hydration heat causes an increasing displacement upstream with time. Based on the results of the structural inverse analysis, the hydrostatic and seasonal components of dam displacements predicted by the finite element model are in excellent agreement with the ones separated by the statistical model, respectively.</description><subject>Algorithms</subject><subject>CAE) and Design</subject><subject>Calculus of Variations and Optimal Control; Optimization</subject><subject>Classical Mechanics</subject><subject>Computer Science</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Concrete dams</subject><subject>Control</subject><subject>Evolutionary algorithms</subject><subject>Evolutionary computation</subject><subject>Finite element method</subject><subject>Heuristic methods</subject><subject>High temperature effects</subject><subject>Hydration</subject><subject>Math. Applications in Chemistry</subject><subject>Mathematical and Computational Engineering</subject><subject>Original Article</subject><subject>Particle swarm optimization</subject><subject>Roller compacted concrete</subject><subject>Statistical models</subject><subject>Systems Theory</subject><subject>Thermodynamics</subject><issn>0177-0667</issn><issn>1435-5663</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kE1LxDAQhoMouK7-AU8Bz9VJ03zUmyx-wYIH9RzSduJ26ZdJ6rL_3q4VvHmaGXifF-Yh5JLBNQNQNwGAS5lAmibApBLJ7ogsWMZFIqTkx2QBTKkEpFSn5CyELQDjAPmCtK_Rj2UcvW1o3X2hD0htZ5t9qAPtHS37rvQYkVa2DbeHM9QV-rr7oB6ndZy4zb7yNtZ9RzdoI0XnsIx0OieGVnUYGltii10M5-TE2Sbgxe9ckveH-7fVU7J-eXxe3a2TMs3ymGhRaGcVs-AcdyK3SjhUuXKuyCqrCyi1RiWVTFmVKSiYkzpDVJlQOhdFwZfkau4dfP85Yohm249-eiuYVHOdCc4VTKl0TpW-D8GjM4OvW-v3hoE5aDWzVjNpNT9azW6C-AyF4WAB_V_1P9Q31gF9tg</recordid><startdate>20230801</startdate><enddate>20230801</enddate><creator>Yang, Lifu</creator><creator>Wen, Zhiping</creator><creator>Yan, Xiaoqun</creator><creator>Hua, Qianyu</creator><creator>Su, Huaizhi</creator><general>Springer London</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7TB</scope><scope>7XB</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20230801</creationdate><title>Structural inverse analysis of concrete dams: considering residual hydration heat effect on dam displacements</title><author>Yang, Lifu ; Wen, Zhiping ; Yan, Xiaoqun ; Hua, Qianyu ; Su, Huaizhi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c249t-85b8fa71a0ff3f59a75fe797ffb4da8b0c88e767621d470b1f684ee7457895bb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Algorithms</topic><topic>CAE) and Design</topic><topic>Calculus of Variations and Optimal Control; Optimization</topic><topic>Classical Mechanics</topic><topic>Computer Science</topic><topic>Computer-Aided Engineering (CAD</topic><topic>Concrete dams</topic><topic>Control</topic><topic>Evolutionary algorithms</topic><topic>Evolutionary computation</topic><topic>Finite element method</topic><topic>Heuristic methods</topic><topic>High temperature effects</topic><topic>Hydration</topic><topic>Math. Applications in Chemistry</topic><topic>Mathematical and Computational Engineering</topic><topic>Original Article</topic><topic>Particle swarm optimization</topic><topic>Roller compacted concrete</topic><topic>Statistical models</topic><topic>Systems Theory</topic><topic>Thermodynamics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Lifu</creatorcontrib><creatorcontrib>Wen, Zhiping</creatorcontrib><creatorcontrib>Yan, Xiaoqun</creatorcontrib><creatorcontrib>Hua, Qianyu</creatorcontrib><creatorcontrib>Su, Huaizhi</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Computing Database (Alumni Edition)</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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering 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><collection>Computing Database</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</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>ProQuest Central Basic</collection><jtitle>Engineering with computers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Lifu</au><au>Wen, Zhiping</au><au>Yan, Xiaoqun</au><au>Hua, Qianyu</au><au>Su, Huaizhi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Structural inverse analysis of concrete dams: considering residual hydration heat effect on dam displacements</atitle><jtitle>Engineering with computers</jtitle><stitle>Engineering with Computers</stitle><date>2023-08-01</date><risdate>2023</risdate><volume>39</volume><issue>4</issue><spage>2829</spage><epage>2849</epage><pages>2829-2849</pages><issn>0177-0667</issn><eissn>1435-5663</eissn><abstract>This paper studies the macro effect of residual hydration heat on dam displacements and the application of the metaheuristic algorithm in structural inverse analysis. Based on the one-dimension heat equation, this paper proposes an extended statistical model concerning the hydration heat effect for dam health monitoring, in which the measured dam displacements are divided into hydrostatic, seasonal temperature, hydration heat, and aging components. A hybrid optimization algorithm is presented, which combines an improved particle swarm optimization (IPSO) with a beta differential evolution algorithm (BDE) and uses an annealing factor to adjust the percentage of use of IPSO and BDE. The monitoring data of a roller compacted concrete dam were taken as an example to verify the extended statistical model. The results demonstrate that the proposed hydration heat formulation is able to capture the long-term effect of residual hydration heat on dam displacements and the dissipation process of the residual hydration heat causes an increasing displacement upstream with time. Based on the results of the structural inverse analysis, the hydrostatic and seasonal components of dam displacements predicted by the finite element model are in excellent agreement with the ones separated by the statistical model, respectively.</abstract><cop>London</cop><pub>Springer London</pub><doi>10.1007/s00366-022-01675-w</doi><tpages>21</tpages></addata></record> |
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| subjects | Algorithms CAE) and Design Calculus of Variations and Optimal Control Optimization Classical Mechanics Computer Science Computer-Aided Engineering (CAD Concrete dams Control Evolutionary algorithms Evolutionary computation Finite element method Heuristic methods High temperature effects Hydration Math. Applications in Chemistry Mathematical and Computational Engineering Original Article Particle swarm optimization Roller compacted concrete Statistical models Systems Theory Thermodynamics |
| title | Structural inverse analysis of concrete dams: considering residual hydration heat effect on dam displacements |
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