Failure Behavior Assessment for Steel-Based Laminated Panel Using Combination of Hybrid Data Analysis

This study aims for a comprehensive data analysis of failure assessment by integrating the qualitative and quantitative methods. Failure assessment of metal laminate panel is crucial and particularly vulnerable to delamination, core crushing, and buckling under extreme loading conditions, such as cyclic loading. Traditional assessment methods are time-consuming and costly. Hence, simulation-based optimization has become a preferred approach. However, the integration of qualitative multi-criteria decision-making methods with quantitative engineering practices remains unclear and requires further exploration. Metal laminate panels were simulated under a four-point bending setup, and the results were analyzed using the Fuzzy AHP-TOPSIS method to identify the best design core configuration. Experimental analysis was performed, together with data survivability, using a 95% confidence interval analysis. The findings indicate that a smaller dimple core improves life cycle by 39% different and exhibits the highest ranking in closeness coefficient. In addition, the statistical analysis provided a strong correlation and high accuracy between experimental and simulated data. It has been highlighted that the potential of integrating qualitative and quantitative methods to determine the best core configuration for metal laminate.