Research on Dynamic Dissolving Model and Experiment for Rock Salt under Different Flow Conditions
Utilizing deep rock salt cavern is not only a widely recognized energy reserve method but also a key development direction for implementing the energy strategic reserve plan. And rock salt cavern adopts solution mining techniques to realize building cavity. In view of this, the paper, based on the d...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2015/959726 |
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| _version_ | 1849434715151400960 |
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| author | Xinrong Liu Xin Yang Zuliang Zhong Ninghui Liang Junbao Wang Ming Huang |
| author_facet | Xinrong Liu Xin Yang Zuliang Zhong Ninghui Liang Junbao Wang Ming Huang |
| author_sort | Xinrong Liu |
| collection | DOAJ |
| description | Utilizing deep rock salt cavern is not only a widely recognized energy reserve method but also a key development direction for implementing the energy strategic reserve plan. And rock salt cavern adopts solution mining techniques to realize building cavity. In view of this, the paper, based on the dissolving properties of rock salt, being simplified and hypothesized the dynamic dissolving process of rock salt, combined conditions between dissolution effect and seepage effect in establishing dynamic dissolving models of rock salt under different flow quantities. Devices were also designed to test the dynamic dissolving process for rock salt samples under different flow quantities and then utilized the finite-difference method to find the numerical solution of the dynamic dissolving model. The artificial intelligence algorithm, Particle Swarm Optimization algorithm (PSO), was finally introduced to conduct inverse analysis of parameters on the established model, whose calculation results coincide with the experimental data. |
| format | Article |
| id | doaj-art-e379291494d74d718cdc1a0eb530ff7c |
| institution | Kabale University |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-e379291494d74d718cdc1a0eb530ff7c2025-08-20T03:26:34ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422015-01-01201510.1155/2015/959726959726Research on Dynamic Dissolving Model and Experiment for Rock Salt under Different Flow ConditionsXinrong Liu0Xin Yang1Zuliang Zhong2Ninghui Liang3Junbao Wang4Ming Huang5College of Civil Engineering, Chongqing University, Chongqing 400045, ChinaCollege of Civil Engineering, Chongqing University, Chongqing 400045, ChinaCollege of Civil Engineering, Chongqing University, Chongqing 400045, ChinaCollege of Civil Engineering, Chongqing University, Chongqing 400045, ChinaCollege of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, ChinaCollege of Civil Engineering, Fuzhou University, Fuzhou 350108, ChinaUtilizing deep rock salt cavern is not only a widely recognized energy reserve method but also a key development direction for implementing the energy strategic reserve plan. And rock salt cavern adopts solution mining techniques to realize building cavity. In view of this, the paper, based on the dissolving properties of rock salt, being simplified and hypothesized the dynamic dissolving process of rock salt, combined conditions between dissolution effect and seepage effect in establishing dynamic dissolving models of rock salt under different flow quantities. Devices were also designed to test the dynamic dissolving process for rock salt samples under different flow quantities and then utilized the finite-difference method to find the numerical solution of the dynamic dissolving model. The artificial intelligence algorithm, Particle Swarm Optimization algorithm (PSO), was finally introduced to conduct inverse analysis of parameters on the established model, whose calculation results coincide with the experimental data.http://dx.doi.org/10.1155/2015/959726 |
| spellingShingle | Xinrong Liu Xin Yang Zuliang Zhong Ninghui Liang Junbao Wang Ming Huang Research on Dynamic Dissolving Model and Experiment for Rock Salt under Different Flow Conditions Advances in Materials Science and Engineering |
| title | Research on Dynamic Dissolving Model and Experiment for Rock Salt under Different Flow Conditions |
| title_full | Research on Dynamic Dissolving Model and Experiment for Rock Salt under Different Flow Conditions |
| title_fullStr | Research on Dynamic Dissolving Model and Experiment for Rock Salt under Different Flow Conditions |
| title_full_unstemmed | Research on Dynamic Dissolving Model and Experiment for Rock Salt under Different Flow Conditions |
| title_short | Research on Dynamic Dissolving Model and Experiment for Rock Salt under Different Flow Conditions |
| title_sort | research on dynamic dissolving model and experiment for rock salt under different flow conditions |
| url | http://dx.doi.org/10.1155/2015/959726 |
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