Abstract

Acoustic emission (AE) has garnered significant interest as a promising way to detect the early-stage development of internal cracks and damage in underground and geotechnical structures, associated with natural disasters. Meanwhile, AE source localization techniques that can identify the damage location in a piled-raft foundation (PRF) are premature because of its complex geometry, although the PRF is a widely used deep foundation type for high-rise buildings. In this study, we propose an integrated approach to localize AE sources in the PRF by using the modified Akaike information criterion (AIC) method and examine its accuracy to mark with pile zones. We performed a series of experiments on a scaled PRF model at a ratio of 1:50, composed of one raft and 25 piles. The results demonstrate that the combined approach with the modified AIC method and the Simplex method can localize the AE source zones with good accuracy, greater than 95% on average. The suggested two-stage AIC picker shows accurate onset time determination, and hence, it significantly improves the accuracy, particularly effective for the signals with low signal-to-noise ratios. The approach exploiting the two-stage AIC picker can be readily used for automated real-time AE monitoring to detect crack generation and its location in buried foundations that cannot be inspected visually.

Highlights

  • The initiation and growth of cracks within a material release energy through the re-distribution of stress [1,2,3]

  • We consistently found that the low signal-to-noise ratio (SNR) caused poor determination of the onset times by using the single-stage Akaike information criterion (AIC) picker, as the acoustic emission (AE) signal’s travel distance from the source to sensor increased

  • This study proposes a real-time source localization using acoustic emission (AE) via scaled laboratory experiments

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Summary

Introduction

The initiation and growth of cracks within a material release energy through the re-distribution of stress [1,2,3] This energy is rapidly emitted in a form of transient elastic waves propagating spherically from a localized source. The deployment of an array of multiple sensors enables to locate AE sources based on the arrival time differences of AE signals at different sensor locations. This allows real-time AE monitoring of target structures while capturing a time-dependent damage process [6,7,8]

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