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Structural damage analysis using finite element model updating enhanced by response surface methodology.
Sadegh Mobarhan Zad1, Mohammad Rahai2, Sajad Ranjbar1
1Department of Civil & Environmental Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.
Scientific Reports
|January 6, 2026
Summary
This study optimizes structural damage identification using finite element model updating (FEMU). Statistical methods improved accuracy and speed, making damage detection more cost-effective and reducing maintenance costs.
Area of Science:
- Structural Engineering
- Computational Mechanics
- Risk Assessment
Background:
- Structural damage from external loads necessitates early detection to mitigate risks.
- Maintaining updated finite element models (FEM) is crucial for lifecycle decision-making and risk assessment.
- Finite element model updating (FEMU) ensures structural analyses align with real-world behavior but can be complex and time-consuming.
Purpose of the Study:
- To investigate the impact of different parameters on FEMU using statistical methods.
- To optimize FEMU performance for convergence time and accuracy.
- To enhance the precision, speed, and cost-effectiveness of structural damage detection.
Main Methods:
- Conducted 81 numerical experiments using a 2D truss framework and a central composite design.
- Analyzed the influence of Convergence Index (COI) and Closeness Index (CI) on FEMU.
- Employed Analysis of Variance (ANOVA) to analyze variables and developed predictive models.
Main Results:
- Statistical analysis identified key parameters affecting FEMU.
- A multi-objective optimization strategy significantly improved the Closeness Index (CI) from 75-85% to 97.5%.
- Optimized FEMU processes demonstrated enhanced accuracy and reduced convergence time.
Conclusions:
- The proposed methodologies optimize the FEMU process for improved structural damage identification.
- Optimized FEMU leads to more precise, rapid, and cost-effective damage detection.
- Implementing these methods can significantly reduce structural maintenance expenses and improve safety.
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