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Iterative-Based Impact Force Identification on a Bridge Concrete Deck
Maria Rashidi1, Shabnam Tashakori2, Hamed Kalhori3,4
1Centre for Infrastructure Engineering, Western Sydney University, Kingswood, NSW 2747, Australia.
Sensors (Basel, Switzerland)
|November 25, 2023
Summary
This study introduces an improved method for identifying impact forces on steel-reinforced concrete structures, crucial for structural health monitoring. The Landweber method with a low-pass filter accurately reconstructs impact events and their locations.
Area of Science:
- Civil Engineering
- Structural Health Monitoring
- Computational Mechanics
Background:
- Steel-reinforced concrete decks are vital in bridges and railways but vulnerable to impact damage.
- Accurate impact identification is essential for structural health monitoring but challenging due to sensor placement limitations.
- Inverse identification methods are promising but often suffer from ill-posedness.
Purpose of the Study:
- To develop and validate an effective inverse identification method for impact force on steel-reinforced concrete decks.
- To enhance impact localization and time-history reconstruction accuracy.
- To address the ill-posed nature of inverse problems in structural impact analysis.
Main Methods:
- Application of the Landweber iterative regularization method for impact force identification.
- Integration of a low-pass filter into the Landweber procedure to improve reconstruction.
- Development of a standardized reconstruction error metric for accuracy assessment.
- Utilizing a Gaussian profile for automated impact force localization.
Main Results:
- The proposed Landweber-based method successfully identifies impact forces, including localization and time-history reconstruction.
- The incorporation of a low-pass filter demonstrably augmented the reconstruction accuracy.
- The standardized error metric provided a robust means for evaluating identification performance.
- Experimental validation on a bridge deck confirmed the efficacy of the developed techniques.
Conclusions:
- The Landweber method, enhanced with a low-pass filter, offers a reliable and computationally efficient solution for impact force identification in civil structures.
- The proposed techniques provide a significant advancement in structural health monitoring, enabling better assessment of impact events.
- Optimal sensor placement and regularization iterations are critical factors for successful impact identification, as discussed in the study.
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