A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data
Damage detection of concrete structures based on finite element model and measured response parameters has been an important research topic in recent years. It is well known that test data of mechanical behavior of concrete show great scatterness. As a result, the measured response parameters of con...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/6669958 |
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| author | X. Peng F. J. Qin Q. W. Yang H. Chen |
| author_facet | X. Peng F. J. Qin Q. W. Yang H. Chen |
| author_sort | X. Peng |
| collection | DOAJ |
| description | Damage detection of concrete structures based on finite element model and measured response parameters has been an important research topic in recent years. It is well known that test data of mechanical behavior of concrete show great scatterness. As a result, the measured response parameters of concrete structures sometimes have gross errors. The gross error is a physical quantity that is much larger than data noise, which may lead to serious distortion of calculation results. To this end, a new robust estimate method termed as the augmented inverse estimate is proposed in this work for damage detection of concrete structures to resist gross errors in data. It has the advantages of very simple programming, convenient utilization, high computational accuracy, and broad prospect of application. Central to the augmented inverse estimate are the augmentation of coefficient matrix and the multiple computations based on feedback evaluation. A reinforced concrete beam structure is used as an example to verify the proposed method. It was found that the proposed method can successfully identify the location and extent of structural damage even if the used data have gross errors. |
| format | Article |
| id | doaj-art-2fc7784dae394c5db3f857290461e1f2 |
| institution | DOAJ |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-2fc7784dae394c5db3f857290461e1f22025-08-20T03:20:22ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/66699586669958A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated DataX. Peng0F. J. Qin1Q. W. Yang2H. Chen3School of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo 315211, ChinaKey Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education, School of Civil Engineering, Chongqing University, Chongqing 400045, ChinaSchool of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo 315211, ChinaDepartment of Civil Engineering, Shaoxing University, Shaoxing 312000, ChinaDamage detection of concrete structures based on finite element model and measured response parameters has been an important research topic in recent years. It is well known that test data of mechanical behavior of concrete show great scatterness. As a result, the measured response parameters of concrete structures sometimes have gross errors. The gross error is a physical quantity that is much larger than data noise, which may lead to serious distortion of calculation results. To this end, a new robust estimate method termed as the augmented inverse estimate is proposed in this work for damage detection of concrete structures to resist gross errors in data. It has the advantages of very simple programming, convenient utilization, high computational accuracy, and broad prospect of application. Central to the augmented inverse estimate are the augmentation of coefficient matrix and the multiple computations based on feedback evaluation. A reinforced concrete beam structure is used as an example to verify the proposed method. It was found that the proposed method can successfully identify the location and extent of structural damage even if the used data have gross errors.http://dx.doi.org/10.1155/2021/6669958 |
| spellingShingle | X. Peng F. J. Qin Q. W. Yang H. Chen A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data Advances in Civil Engineering |
| title | A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data |
| title_full | A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data |
| title_fullStr | A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data |
| title_full_unstemmed | A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data |
| title_short | A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data |
| title_sort | robust estimate method for damage detection of concrete structures using contaminated data |
| url | http://dx.doi.org/10.1155/2021/6669958 |
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