Evaluation of Improved Mode Shape Curvature-Based Damage Detection using Robust Regression Method

Abstract Structural Health Monitoring (SHM) is an important tool to maintain structures integrity and safety. Gapped Smoothing Method (GSM) a high sensitivity algorithm for damage detection using mode shape curvature (MSC) identify small size of damage. However, it has limited capability localize wide with decent accuracy. The objective this study improve GSM Robust Regression i.e., Iteratively Re-weighted Least Square (IRLS) methods. Subsequently, evaluate the proposed algorithm’s different number measurements aluminum beam numerically. Damage Estimate Reliability (DER) was used effectiveness improved algorithm. obtained result shows inclusion robust regression in original increase 50mm level 20% by 11.6%. IRLS reduces influence outlier towards estimation undamaged MSC that cause noise around area (in index plot) therefore produce more accurate size. Improvement allows method structures.