Pile damage identification method for high-pile wharfs based on axial static strain distribution

Abstract

Abstract This paper proposes a damage identification method for piles by using two symmetrically arranged strain sensor arrays. Theoretical analysis shows that the curvature change have a significant change in the damaged region and can be used for damage localization, the relative curvature change in the damaged region is a constant and can be used to quantitative the severity of damage. The physical model experiments showed that the predetermined damage was located within the measured damage range, and the cross section damage coefficient had a linear correlation to the measured damage severity. The FEM results showed that the maximum relative error of damage severity is 3.3%, and the maximum error of damage location is 1\xa0mm, the damage localization accuracy could be improved by increasing the strain measurement point density. The method is simple, does not rely on optimization algorithms, and is suitable for pile damage detection and monitoring.