Adaptive Probabilistic Optimization Approach for Vibration-Based Structural Health Monitoring
This paper presents a novel adaptive probabilistic algorithm to identify damage characteristics by integrating the use of the frequency response function with an optimization approach. The proposed algorithm evaluates the probability of damage existence and determines salient details such as damage...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Signals |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2624-6120/2/3/29 |
| _version_ | 1797517234288984064 |
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| author | Hussain Altammar Sudhir Kaul |
| author_facet | Hussain Altammar Sudhir Kaul |
| author_sort | Hussain Altammar |
| collection | DOAJ |
| description | This paper presents a novel adaptive probabilistic algorithm to identify damage characteristics by integrating the use of the frequency response function with an optimization approach. The proposed algorithm evaluates the probability of damage existence and determines salient details such as damage location and damage severity in a probabilistic manner. A multistage sequence is used to determine the probability of damage parameters including crack depth and crack location while minimizing uncertainties. A simply supported beam with an open edge crack was used to demonstrate the application of the algorithm for damage detection. The robustness of the algorithm was tested by incorporating varying levels of noise into the frequency response. All simulation results show successful detection of damage with a relatively high probability even in the presence of noise. Results indicate that the probabilistic algorithm could have significant advantages over conventional deterministic methods since it has the ability to avoid yielding false negatives that are quite common among deterministic damage detection techniques. |
| first_indexed | 2024-03-10T07:13:54Z |
| format | Article |
| id | doaj.art-dd850b62c90a4276b4a53aaa69db0634 |
| institution | Directory Open Access Journal |
| issn | 2624-6120 |
| language | English |
| last_indexed | 2024-03-10T07:13:54Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Signals |
| spelling | doaj.art-dd850b62c90a4276b4a53aaa69db06342023-11-22T15:15:50ZengMDPI AGSignals2624-61202021-07-012347548910.3390/signals2030029Adaptive Probabilistic Optimization Approach for Vibration-Based Structural Health MonitoringHussain Altammar0Sudhir Kaul1Department of Engineering, University of Jamestown, 6028 College Lane, Jamestown, ND 58405, USASchool of Engineering and Technology, Western Carolina University, 1 University Way, Cullowhee, NC 28723, USAThis paper presents a novel adaptive probabilistic algorithm to identify damage characteristics by integrating the use of the frequency response function with an optimization approach. The proposed algorithm evaluates the probability of damage existence and determines salient details such as damage location and damage severity in a probabilistic manner. A multistage sequence is used to determine the probability of damage parameters including crack depth and crack location while minimizing uncertainties. A simply supported beam with an open edge crack was used to demonstrate the application of the algorithm for damage detection. The robustness of the algorithm was tested by incorporating varying levels of noise into the frequency response. All simulation results show successful detection of damage with a relatively high probability even in the presence of noise. Results indicate that the probabilistic algorithm could have significant advantages over conventional deterministic methods since it has the ability to avoid yielding false negatives that are quite common among deterministic damage detection techniques.https://www.mdpi.com/2624-6120/2/3/29frequency response functionstructural health monitoringdamage identificationprobabilistic modelwavelet transformoptimization |
| spellingShingle | Hussain Altammar Sudhir Kaul Adaptive Probabilistic Optimization Approach for Vibration-Based Structural Health Monitoring Signals frequency response function structural health monitoring damage identification probabilistic model wavelet transform optimization |
| title | Adaptive Probabilistic Optimization Approach for Vibration-Based Structural Health Monitoring |
| title_full | Adaptive Probabilistic Optimization Approach for Vibration-Based Structural Health Monitoring |
| title_fullStr | Adaptive Probabilistic Optimization Approach for Vibration-Based Structural Health Monitoring |
| title_full_unstemmed | Adaptive Probabilistic Optimization Approach for Vibration-Based Structural Health Monitoring |
| title_short | Adaptive Probabilistic Optimization Approach for Vibration-Based Structural Health Monitoring |
| title_sort | adaptive probabilistic optimization approach for vibration based structural health monitoring |
| topic | frequency response function structural health monitoring damage identification probabilistic model wavelet transform optimization |
| url | https://www.mdpi.com/2624-6120/2/3/29 |
| work_keys_str_mv | AT hussainaltammar adaptiveprobabilisticoptimizationapproachforvibrationbasedstructuralhealthmonitoring AT sudhirkaul adaptiveprobabilisticoptimizationapproachforvibrationbasedstructuralhealthmonitoring |