Low-Strain Damage Imaging Detection Experiment for Model Pile Integrity Based on HHT

Abstract

With the advancement of computer and mathematical techniques, significant progress has been made in the 3D modeling of foundation piles. Existing methods include the 3D semi-analytical model for non-destructive low-strain integrity assessment of large-diameter thin-walled pipe piles and the 3D soil-pile dynamic interaction model. However, these methods have complex analysis procedures and substantial limitations. This paper introduces an innovative and streamlined 3D imaging technique tailored for the detection of pile damage. The approach harnesses the power of an eight-channel ring array transducer to capture internal reflection signals within foundation piles. The acquired signals are subsequently processed using the Hilbert-Huang Transform (HHT), a robust analytical tool known for its effectiveness in handling non-stationary signals. Through the development of a sophisticated multi-channel ring array imaging algorithm, this technique empowers engineers and researchers to identify various pile defects, including their specific type, precise location, and obtain detailed 3D imaging representations. The findings of this research offer a valuable blend of theoretical insights and practical guidance, significantly advancing the state-of-the-art in the realm of concrete pile integrity inspection. By simplifying and enhancing the assessment process, this innovative approach not only addresses the complexities of existing methods but also contributes to the overall safety and reliability of concrete engineering structures.