Dr. Muyideen Abdulkareem, Research Fellow, Construction Research Centre, School Civil Engineering of Universiti Teknologi Malaysia, Malaysia

Biography: Dr. Muyideen Abdulkareem is a Research Fellow at Construction Research Centre in the School Civil Engineering of Universiti Teknologi Malaysia, Johor, Malaysia. He obtained his Master and Doctor of Engineering Degree from the Universiti Teknologi Malaysia, Malaysia in 2010 and 2018 respectively. His doctoral research work was focused on vibration-based damage detect in plate and shell structures using wavelet transform. He has also worked on several projects involving structural earthquake mitigation by using improved and modified Tuned Liquid dampers (TLD). He has been involved in several structural integrity assessment using vibration-based methods in Malaysia. Currently, he is involved in projects ranging structural health monitoring of Petrochemical plant and self-healing concrete.

Research Interest: Vibration-based damage detect, tall building, structural earthquake mitigation and self-healing concrete.

Speech Title: Non-probabilistic Wavelet Method to Consider Uncertainties in Structural Damage Detection

Abstract: In vibration-based damage detection studies, researchers have shown that wavelet transform (WT) is an effective tool for detecting damage. However, structural damage detection is hindered by uncertainties in structural models and measurement data. Various attempts have been made to address this problem by incorporating a probabilistic WT method. The success enjoyed by the probabilistic method is limited by lack of adequate information to obtain an unbiased probabilistic distribution of uncertainties. In addition, the probabilistic method involves complex and expensive computations. In this study, a non-probabilistic wavelet transform method is proposed that resolves the problem of uncertainties in vibration-based damage detection. The mode shapes of the damaged and undamaged structure are decomposed to obtain the wavelet transform coefficient values (m). With the interval analysis method, the uncertainties in the obtained mode shapes are taken to be coupled rather than statistically distributed. In this way, the interval bounds (upper and lower bounds) of the changes in the wavelet transform coefficient values are calculated. A coefficient increment factor (CIF) based on the wavelet transform coefficient value is established, and the elemental possibility of damage existence (PoDE) is defined. Numerical and experimental models of a four-side-fixed square steel plate are applied to demonstrate the efficiency of the proposed method. Furthermore, the effect of different damage severities and the impact of different noise levels on damage identification are presented. The proposed method effectively identified damage.

Keywords: Uncertainties, Wavelet Transform, Damage Detection, Non-probabilistic, Interval Analysis