Damage Identification in Concrete Using Instantaneous Dominant Frequency of Acoustic Emission Signals
The real-time assessment of structural damage in concrete structures using the acoustic emission (AE) technique presents substantial challenges. Traditional AE parameters often fail to effectively quantify the extent of concrete damage in real time. To address this limitation, an Instantaneous Domin...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/14/12/3784 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850042322738216960 |
|---|---|
| author | Aijun Gu Zefeng Liu Rui Pan Bo Xu |
| author_facet | Aijun Gu Zefeng Liu Rui Pan Bo Xu |
| author_sort | Aijun Gu |
| collection | DOAJ |
| description | The real-time assessment of structural damage in concrete structures using the acoustic emission (AE) technique presents substantial challenges. Traditional AE parameters often fail to effectively quantify the extent of concrete damage in real time. To address this limitation, an Instantaneous Dominant Frequency (IDF) method is proposed for identifying critical damage in concrete. This method leverages empirical mode decomposition (EMD), a self-adaptive time-frequency analysis approach, to process AE signals. By identifying the primary intrinsic mode function (IMF) and extracting the instantaneous frequency with the largest amplitude—termed the IDF—this method captures the dominant frequency characteristics of complex damage sources. The variation in IDF values provides insights into the progression of structural damage. In this study, AE signals obtained from uniaxial compression and four-point bending tests were analyzed using the IDF method. The results show that when the IDF value exceeds 300 kHz, significant damage, such as critical damage, occurs. These findings suggest that the IDF method offers an effective and reliable approach for identifying critical damage and determining the structural damage state during the failure process. |
| format | Article |
| id | doaj-art-5cc7a7dcfe03408593972d922e3f217c |
| institution | DOAJ |
| issn | 2075-5309 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-5cc7a7dcfe03408593972d922e3f217c2025-08-20T02:55:36ZengMDPI AGBuildings2075-53092024-11-011412378410.3390/buildings14123784Damage Identification in Concrete Using Instantaneous Dominant Frequency of Acoustic Emission SignalsAijun Gu0Zefeng Liu1Rui Pan2Bo Xu3College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225009, ChinaCollege of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225009, ChinaCollege of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225009, ChinaCollege of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225009, ChinaThe real-time assessment of structural damage in concrete structures using the acoustic emission (AE) technique presents substantial challenges. Traditional AE parameters often fail to effectively quantify the extent of concrete damage in real time. To address this limitation, an Instantaneous Dominant Frequency (IDF) method is proposed for identifying critical damage in concrete. This method leverages empirical mode decomposition (EMD), a self-adaptive time-frequency analysis approach, to process AE signals. By identifying the primary intrinsic mode function (IMF) and extracting the instantaneous frequency with the largest amplitude—termed the IDF—this method captures the dominant frequency characteristics of complex damage sources. The variation in IDF values provides insights into the progression of structural damage. In this study, AE signals obtained from uniaxial compression and four-point bending tests were analyzed using the IDF method. The results show that when the IDF value exceeds 300 kHz, significant damage, such as critical damage, occurs. These findings suggest that the IDF method offers an effective and reliable approach for identifying critical damage and determining the structural damage state during the failure process.https://www.mdpi.com/2075-5309/14/12/3784acoustic emission (AE)concreteempirical mode decomposition (EMD)instantaneous dominant frequency (IDF)intrinsic mode function (IMF) |
| spellingShingle | Aijun Gu Zefeng Liu Rui Pan Bo Xu Damage Identification in Concrete Using Instantaneous Dominant Frequency of Acoustic Emission Signals Buildings acoustic emission (AE) concrete empirical mode decomposition (EMD) instantaneous dominant frequency (IDF) intrinsic mode function (IMF) |
| title | Damage Identification in Concrete Using Instantaneous Dominant Frequency of Acoustic Emission Signals |
| title_full | Damage Identification in Concrete Using Instantaneous Dominant Frequency of Acoustic Emission Signals |
| title_fullStr | Damage Identification in Concrete Using Instantaneous Dominant Frequency of Acoustic Emission Signals |
| title_full_unstemmed | Damage Identification in Concrete Using Instantaneous Dominant Frequency of Acoustic Emission Signals |
| title_short | Damage Identification in Concrete Using Instantaneous Dominant Frequency of Acoustic Emission Signals |
| title_sort | damage identification in concrete using instantaneous dominant frequency of acoustic emission signals |
| topic | acoustic emission (AE) concrete empirical mode decomposition (EMD) instantaneous dominant frequency (IDF) intrinsic mode function (IMF) |
| url | https://www.mdpi.com/2075-5309/14/12/3784 |
| work_keys_str_mv | AT aijungu damageidentificationinconcreteusinginstantaneousdominantfrequencyofacousticemissionsignals AT zefengliu damageidentificationinconcreteusinginstantaneousdominantfrequencyofacousticemissionsignals AT ruipan damageidentificationinconcreteusinginstantaneousdominantfrequencyofacousticemissionsignals AT boxu damageidentificationinconcreteusinginstantaneousdominantfrequencyofacousticemissionsignals |