Pile foundation wave velocity intelligent identification method based on characteristic curve matching low strain

CN120870337AActive Publication Date: 2025-10-31JIANGXI SHANHE TESTING GRP CO LTD
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Patent Information

Application Number
CN202511405244.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-29
Publication Date
2025-10-31
Estimated Expiration
2045-09-29

AI Technical Summary

Technical Problem

The existing low-strain reflection wave method is difficult to effectively distinguish between geological interface reflections and actual pile damage in pile foundation testing, resulting in a high misjudgment rate and increased engineering costs and time.

Method used

A three-dimensional coordinate model was constructed using a low-strain method based on characteristic curve matching. Combined with geological stratification data, cluster analysis and energy sensitivity verification were performed to identify and distinguish geological interface reflections from actual damage.

Benefits of technology

It enables accurate identification of pile foundation damage, reduces misjudgments, improves the specificity and engineering efficiency of detection, and reduces unnecessary verification work.

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Abstract

The invention discloses a pile foundation wave velocity intelligent identification method based on characteristic curve matching low strain, and belongs to the technical field of pile foundation detection.The method specifically comprises the steps that standardized impact excitation is applied to a target area pile foundation, a time domain velocity response signal is collected, and a full-band phase change curve is generated; identifying a direction turning point on the curve, and recording a turning direction symbol, a reflection depth and a phase angle change rate absolute value of the direction turning point; constructing a three-dimensional coordinate model to cluster the turning points to obtain an aggregation cluster; generating a virtual geological interface in combination with geological stratification data, calculating a space overlapping degree of the aggregation clusters and the interface, and screening undetermined common aggregation clusters; through energy sensitivity verification, rock stratum reflection and damage polymerization clusters are distinguished according to linear or nonlinear response characteristics, and accurate evaluation of the pile foundation damage condition is achieved by distinguishing geological interface reflection and real pile body damage signals in each pile foundation.
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