Smart City Gnosys
Smart city article details
| Title | A Crowdsensing-Based Framework For Indirect Bridge Monitoring Using Mel-Frequency Cepstral Analysis Considering Elimination Of Operational Effects |
|---|---|
| ID_Doc | 1189 |
| Authors | Shirzad-Ghaleroudkhani N.; Gül M. |
| Year | 2024 |
| Published | Journal of Structural Engineering (United States), 150, 1 |
| DOI | http://dx.doi.org/10.1061/JSENDH.STENG-11748 |
| Abstract | This paper puts forward an indirect bridge monitoring method using Mel-frequency cepstral analysis of inverse-filtered drive-by acceleration signals collected through smartphones. Crowdsensing-based approaches using data collected by smart cars and smartphones opened a new chapter in bridge monitoring by reducing the costs and increasing the efficiency of the bridge monitoring process. However, the major challenge of the dominancy of the operational effects in the recorded drive-by vibrations overshadows the bridge monitoring objective. This paper proposes an inverse filtering-based monitoring approach to suppress operational effects. The inverse-filtered spectrum is later employed in a Mel-frequency cepstral analysis, leading to the calculation of the abnormality index, which is then used to detect the change in the bridge state. The performance of the proposed method in suppressing operational effects is assessed through a series of laboratory and real-life experiments. Afterward, the damage detection capability of the method is investigated for two damage levels at different locations along the bridge, modeled in a laboratory environment. The results provide evidence for the capability of the proposed method in drive-by damage detection of bridges. Moreover, using the smartphone as the data acquisition device paves the path toward the implementation of the method for crowdsensing-based bridge monitoring in future smart cities, although more operational factors such as passenger interactions and resulting smartphone motions need to be considered in future studies. © 2023 American Society of Civil Engineers. |
| Author Keywords | Drive-by acceleration signal; Eliminating operational effects; Indirect bridge monitoring; Inverse filtering method; Mel-frequency Cepstral analysis; Smartphone |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
30666  | 0.937 | Shirzad-Ghaleroudkhani N.; Gül M. | Importance Of Eliminating Operational Effects In Indirect Monitoring Of Bridges Under Real-Life Conditions | Lecture Notes in Civil Engineering, 433 LNCE (2023) |
| 1190 | 0.92 | Shirzad-Ghaleroudkhani N.; Mei Q.; Gül M. | A Crowdsensing-Based Platform For Transportation Infrastructure Monitoring And Management In Smart Cities | The Rise of Smart Cities: Advanced Structural Sensing and Monitoring Systems (2022) |
| 37884 | 0.919 | Mei Q.; Gül M. | Monitoring Populations Of Bridges In Smart Cities Using Smartphones | Structures Congress 2019: Bridges, Nonbuilding and Special Structures, and Nonstructural Components - Selected Papers from the Structures Congress 2019 (2019) |
| 51896 | 0.869 | Ali A.R.; Farahat A.; Baraka M. | Smartphone-Based Real-Time Bridge Health Monitoring System For Smart Cities 4.0 Using Four-Wheeled Robot And Indirect Vibrational Data From Moving Vehicles | 2023 2nd International Conference on Smart Cities 4.0, Smart Cities 4.0 2023 (2023) |