Global Mechanical Response Sensing of Corrugated Compensators Based on Digital Twins
The corrugated compensators are important components in the piping system, absorbing mechanical deformation flexibly. To reduce the risk of the piping system with corrugated compensators and improve the safety and stability of industrial equipment, condition monitoring and fault diagnosis of bellows...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/6/4048 |
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| author | Run Zhou Jingyan Jiang Jianhua Qin Ning Du Haoran Shi Ying Wang |
| author_facet | Run Zhou Jingyan Jiang Jianhua Qin Ning Du Haoran Shi Ying Wang |
| author_sort | Run Zhou |
| collection | DOAJ |
| description | The corrugated compensators are important components in the piping system, absorbing mechanical deformation flexibly. To reduce the risk of the piping system with corrugated compensators and improve the safety and stability of industrial equipment, condition monitoring and fault diagnosis of bellows is necessary. However, the stress monitoring method of corrugated compensators with limited localized sensors lack real-time and full-domain sensing. Therefore, this paper proposes a digital twin construction method for global mechanical response sensing of corrugated compensators, combining Gaussian process regression in machine learning and finite element analysis. The sensing data of three types of displacements are used as the associated information of a finite element model with 19,800 elements and its digital twin. The results show that the values of performance metrics correlation of determination <i>R</i><sup>2</sup> and standardized average leave-one-out cross-validation <i>CV</i><sub>avg</sub> of the digital twin satisfy the recommended threshold, which indicates that the digital twin has excellent predictive performance. The single prediction time of the digital twin is 0.76% of the time spent on finite element analysis, and the prediction result has good consistency with the true response under dynamic input, indicating that the digital twin can achieve fast and accurate stress field prediction. The important state information hidden in the multi-source data obtained by limited sensors is effectively mined to achieve the real-time prediction of the stress field. This paper provides a new approach for intelligent sensing and feedback of corrugated compensators in the piping system. |
| first_indexed | 2024-03-11T06:58:09Z |
| format | Article |
| id | doaj.art-fd7ea29bd5c2436f8eb8800a7ac26330 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T06:58:09Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-fd7ea29bd5c2436f8eb8800a7ac263302023-11-17T09:30:46ZengMDPI AGApplied Sciences2076-34172023-03-01136404810.3390/app13064048Global Mechanical Response Sensing of Corrugated Compensators Based on Digital TwinsRun Zhou0Jingyan Jiang1Jianhua Qin2Ning Du3Haoran Shi4Ying Wang5High Speed Aerodynamics Institute of China Aerodynamics Research and Development Center, Mianyang 621000, ChinaHigh Speed Aerodynamics Institute of China Aerodynamics Research and Development Center, Mianyang 621000, ChinaHigh Speed Aerodynamics Institute of China Aerodynamics Research and Development Center, Mianyang 621000, ChinaHigh Speed Aerodynamics Institute of China Aerodynamics Research and Development Center, Mianyang 621000, ChinaKey Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, School of Civil Engineering, Southeast University, Nanjing 211189, ChinaKey Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, School of Civil Engineering, Southeast University, Nanjing 211189, ChinaThe corrugated compensators are important components in the piping system, absorbing mechanical deformation flexibly. To reduce the risk of the piping system with corrugated compensators and improve the safety and stability of industrial equipment, condition monitoring and fault diagnosis of bellows is necessary. However, the stress monitoring method of corrugated compensators with limited localized sensors lack real-time and full-domain sensing. Therefore, this paper proposes a digital twin construction method for global mechanical response sensing of corrugated compensators, combining Gaussian process regression in machine learning and finite element analysis. The sensing data of three types of displacements are used as the associated information of a finite element model with 19,800 elements and its digital twin. The results show that the values of performance metrics correlation of determination <i>R</i><sup>2</sup> and standardized average leave-one-out cross-validation <i>CV</i><sub>avg</sub> of the digital twin satisfy the recommended threshold, which indicates that the digital twin has excellent predictive performance. The single prediction time of the digital twin is 0.76% of the time spent on finite element analysis, and the prediction result has good consistency with the true response under dynamic input, indicating that the digital twin can achieve fast and accurate stress field prediction. The important state information hidden in the multi-source data obtained by limited sensors is effectively mined to achieve the real-time prediction of the stress field. This paper provides a new approach for intelligent sensing and feedback of corrugated compensators in the piping system.https://www.mdpi.com/2076-3417/13/6/4048corrugated compensatorsdigital twinGaussian process regressionfinite element analysis |
| spellingShingle | Run Zhou Jingyan Jiang Jianhua Qin Ning Du Haoran Shi Ying Wang Global Mechanical Response Sensing of Corrugated Compensators Based on Digital Twins Applied Sciences corrugated compensators digital twin Gaussian process regression finite element analysis |
| title | Global Mechanical Response Sensing of Corrugated Compensators Based on Digital Twins |
| title_full | Global Mechanical Response Sensing of Corrugated Compensators Based on Digital Twins |
| title_fullStr | Global Mechanical Response Sensing of Corrugated Compensators Based on Digital Twins |
| title_full_unstemmed | Global Mechanical Response Sensing of Corrugated Compensators Based on Digital Twins |
| title_short | Global Mechanical Response Sensing of Corrugated Compensators Based on Digital Twins |
| title_sort | global mechanical response sensing of corrugated compensators based on digital twins |
| topic | corrugated compensators digital twin Gaussian process regression finite element analysis |
| url | https://www.mdpi.com/2076-3417/13/6/4048 |
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