Oral Presentation

Volume Title: 3rd International Conference on Civil Engineering: Development & Sustainability

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

Damage severity identification is a tricky issue which is hard to define in situ during health monitoring process due to many reasons. There is no identified algorithm that can define damage severity accurately on an identical element for different structural systems. So, this paper will discuss using multiple algorithms to complete damage quantification algorithm for each damage scenario.
A 2-D steel truss model representing foot path bridge 24 m span was studied. Damage is applied as reduction in cross sectional area for each member selected. Selected damage scenarios are assumed to take place and applied different damage percentage for each scenario. Finite element analysis and the results studied using frequency difference percentage, modal assurance criterion, and mode shape curvature. From the statistical analysis done for each case damage severity is determined for each damage scenario clearly using summation of modal based damaged sensitive features.

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

Structural and Construction Engineering