Oral Presentation

¹Shehata E Abdel Raheem; ²Amr A Nassr; ³Mohamed Abdelraheem; ⁴Khaled Abdel Hady

¹Prof., Civil Engineering department, Faculty of Engineering, Assiut University, Egypt

²Assoc. Prof., College of Engineering and information technology, Ajman University, UAE & Assoc. Prof., Faculty of Engineering, Assiut University, Egypt

³Assoc. Prof., Faculty of Engineering, Assiut University, Egypt

⁴Lecturer Assistant, Faculty of Engineering, Assiut University, Egypt

Structural Health Monitoring (SHM) has gained significant attention due to its potential to avert catastrophic consequences. Detecting structural damage is often challenging, particularly for vital infrastructure such as bridges, where the cost of implementing SHM is justifiable. Despite extensive research, there is no universally applicable algorithm capable of accurately detecting damage across all scenarios. This study explores the utilization of Modal-Based Damage Sensitive Features (MBDSF) as a potential solution. To investigate this approach, a 2-D steel truss model representing a pedestrian footpath bridge is examined. Damage is hypothesized to occur within each member of one half of the truss structure. Employing Finite Element Analysis (FEA), the research presents results obtained through the application of various algorithms. Comparative analysis reveals that the proposed method accurately identifies the location of damage in all cases, thus overcoming previously identified limitations in damage detection.

Structure health monitoring; Damage detection; MAC; Mode shape index; Steel truss; footpath bridge

Structural and Construction Engineering