Solution to the problem of bridge structure damage identification by a response surface method and an imperialist...

Area of Science:

• Structural Engineering
• Computational Mechanics
• Optimization Algorithms

Background:

• Accurate and timely structural damage identification (SDI) is crucial for maintaining structural integrity.
• Existing SDI methods often face challenges in efficiency and precision, particularly for complex structures.
• Developing advanced computational techniques is essential for overcoming these limitations.

Purpose of the Study:

• To develop a novel and efficient structural damage identification (SDI) method.
• To enhance the accuracy and speed of detecting initial structural damage.
• To provide a robust approach for damage localization and quantification in high-dimensional structures.

Main Methods:

• A response surface method (RSM) was employed for experimental design and sample point selection.
• A high-order response surface surrogate model was established for frequency response and stiffness reduction.
• An imperialist competitive algorithm (ICA) was utilized to solve objective functions for damage identification.

Main Results:

• The proposed RSM-ICA method demonstrated high accuracy in identifying structural stiffness parameters (average error 6.104%) and natural frequency (average error 0.134%).
• The method significantly increased identification efficiency and precision compared to traditional optimization algorithms.
• Successful application to high-dimensional damaged simply-supported beam models validated its effectiveness.

Conclusions:

• The developed RSM-ICA-based SDI method offers a novel and effective solution for structural damage identification.
• This approach significantly improves upon the efficiency and precision of existing damage detection techniques.
• The findings provide a valuable tool for structural health monitoring and damage assessment.