Optimization Method for Improving Efficiency of Thermal Field Reconstruction in Concrete Dam
In an actual concrete dam construction, the efficiency of thermal field reconstruction directly affects the timeliness of temperature control measures. Therefore, using lightweight methods to obtain real-time, accurate thermal fields is crucial for concrete temperature control. To balance both accur...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/14/23/10857 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846124499865436160 |
|---|---|
| author | Yunfei Xiang Peng Lin Haoyang Peng Zichang Li Yuanguang Liu Yu Qiao Zuobin Yang |
| author_facet | Yunfei Xiang Peng Lin Haoyang Peng Zichang Li Yuanguang Liu Yu Qiao Zuobin Yang |
| author_sort | Yunfei Xiang |
| collection | DOAJ |
| description | In an actual concrete dam construction, the efficiency of thermal field reconstruction directly affects the timeliness of temperature control measures. Therefore, using lightweight methods to obtain real-time, accurate thermal fields is crucial for concrete temperature control. To balance both accuracy and efficiency, this study proposes an optimization method for thermal field reconstruction in concrete dams. The method consists of three components: evaluating interpolation algorithms, optimizing the number of monitoring points, and analyzing their positions. Specifically, a distributed temperature sensing system is employed for concrete monitoring, with a “Z-shaped” optical fiber layout. Three interpolation algorithms—Kriging, Natural Neighbor, and Inverse Distance Weighting—are quantitatively evaluated, with Kriging showing the highest accuracy. Sensitivity analysis, combined with the control variable method, is used to assess the impact of the monitoring point number and position. Lightweight application procedures are then proposed, using reconstructed thermal field results to guide strategy formulation and parameter adjustment for the intelligent cooling control system. A case study demonstrates that this method ensures the effectiveness and timeliness of concrete temperature control measures. The proposed approach enables real-time updates of concrete temperature control measures in sync with the progress of the pouring process, providing a valuable reference for similar projects. |
| format | Article |
| id | doaj-art-49da94e5c11046c3b9807d4e21bffdec |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-49da94e5c11046c3b9807d4e21bffdec2024-12-13T16:21:57ZengMDPI AGApplied Sciences2076-34172024-11-0114231085710.3390/app142310857Optimization Method for Improving Efficiency of Thermal Field Reconstruction in Concrete DamYunfei Xiang0Peng Lin1Haoyang Peng2Zichang Li3Yuanguang Liu4Yu Qiao5Zuobin Yang6Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Hydraulic Engineering, Tsinghua University, Beijing 100084, ChinaYalong River Hydropower Development Company, Ltd., Chengdu 610051, ChinaTsinghua Sichuan Energy Internet Research Institute, Chengdu 610213, ChinaSinohydro Bureau 11 Co., Ltd., Zhengzhou 450001, ChinaChina Three Gorges Corporation, Beijing 100038, ChinaHuaneng Lancang River Hydropower Inc., Kunming 650214, ChinaIn an actual concrete dam construction, the efficiency of thermal field reconstruction directly affects the timeliness of temperature control measures. Therefore, using lightweight methods to obtain real-time, accurate thermal fields is crucial for concrete temperature control. To balance both accuracy and efficiency, this study proposes an optimization method for thermal field reconstruction in concrete dams. The method consists of three components: evaluating interpolation algorithms, optimizing the number of monitoring points, and analyzing their positions. Specifically, a distributed temperature sensing system is employed for concrete monitoring, with a “Z-shaped” optical fiber layout. Three interpolation algorithms—Kriging, Natural Neighbor, and Inverse Distance Weighting—are quantitatively evaluated, with Kriging showing the highest accuracy. Sensitivity analysis, combined with the control variable method, is used to assess the impact of the monitoring point number and position. Lightweight application procedures are then proposed, using reconstructed thermal field results to guide strategy formulation and parameter adjustment for the intelligent cooling control system. A case study demonstrates that this method ensures the effectiveness and timeliness of concrete temperature control measures. The proposed approach enables real-time updates of concrete temperature control measures in sync with the progress of the pouring process, providing a valuable reference for similar projects.https://www.mdpi.com/2076-3417/14/23/10857thermal field reconstructionoptimization methodinterpolation algorithmtemperature controlconcrete dam |
| spellingShingle | Yunfei Xiang Peng Lin Haoyang Peng Zichang Li Yuanguang Liu Yu Qiao Zuobin Yang Optimization Method for Improving Efficiency of Thermal Field Reconstruction in Concrete Dam Applied Sciences thermal field reconstruction optimization method interpolation algorithm temperature control concrete dam |
| title | Optimization Method for Improving Efficiency of Thermal Field Reconstruction in Concrete Dam |
| title_full | Optimization Method for Improving Efficiency of Thermal Field Reconstruction in Concrete Dam |
| title_fullStr | Optimization Method for Improving Efficiency of Thermal Field Reconstruction in Concrete Dam |
| title_full_unstemmed | Optimization Method for Improving Efficiency of Thermal Field Reconstruction in Concrete Dam |
| title_short | Optimization Method for Improving Efficiency of Thermal Field Reconstruction in Concrete Dam |
| title_sort | optimization method for improving efficiency of thermal field reconstruction in concrete dam |
| topic | thermal field reconstruction optimization method interpolation algorithm temperature control concrete dam |
| url | https://www.mdpi.com/2076-3417/14/23/10857 |
| work_keys_str_mv | AT yunfeixiang optimizationmethodforimprovingefficiencyofthermalfieldreconstructioninconcretedam AT penglin optimizationmethodforimprovingefficiencyofthermalfieldreconstructioninconcretedam AT haoyangpeng optimizationmethodforimprovingefficiencyofthermalfieldreconstructioninconcretedam AT zichangli optimizationmethodforimprovingefficiencyofthermalfieldreconstructioninconcretedam AT yuanguangliu optimizationmethodforimprovingefficiencyofthermalfieldreconstructioninconcretedam AT yuqiao optimizationmethodforimprovingefficiencyofthermalfieldreconstructioninconcretedam AT zuobinyang optimizationmethodforimprovingefficiencyofthermalfieldreconstructioninconcretedam |