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Damage Identification of Truss Bridge Under Temperature Variations Based on Stiffness Separation Method.
Feng Xiao1, Yijing Gong1, Yujiang Xiang2
1School of Safety Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Sensors (Basel, Switzerland)
|June 26, 2026
Summary
This study introduces a novel method for structural damage identification that simultaneously accounts for temperature variations. It improves accuracy by treating temperature as an unknown parameter, enhancing structural health monitoring.
Area of Science:
- Structural Engineering
- Mechanical Engineering
- Materials Science
Background:
- Environmental factors like temperature variations significantly impact structural responses.
- Accurate damage identification in structures is compromised by temperature-induced interference.
- Existing methods often struggle to decouple temperature effects from actual structural damage.
Purpose of the Study:
- To develop a robust damage identification method that addresses temperature-induced interference.
- To propose a technique that jointly identifies structural damage and temperature parameters.
- To enhance the accuracy and reliability of structural health monitoring systems.
Main Methods:
- A novel damage identification approach treating temperature variations as unknown parameters.
- Simultaneous identification of damage and temperature parameters using an objective function based on strain discrepancies.
- Implementation of a stiffness separation method for analyzing large-scale structures by dividing them into substructures.
- Numerical validation using a steel truss bridge case study under various temperature conditions.
Main Results:
- The proposed method successfully identifies both structural damage and temperature parameters simultaneously.
- The stiffness separation technique effectively enables the analysis of large-scale structures.
- The combined approach demonstrates applicability and accuracy under diverse temperature conditions.
- Numerical simulations confirm the method's potential for practical structural health monitoring.
Conclusions:
- The developed method provides a reliable solution for damage identification in the presence of temperature variations.
- Jointly identifying temperature and damage parameters significantly improves monitoring accuracy.
- The stiffness separation method offers a scalable approach for complex structures.
- This research contributes to more accurate and resilient structural health assessment.
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