CSLT检测系统在钻孔桩缺陷检测中的精度

IF 1.3 4区工程技术 Q4 ENGINEERING, INDUSTRIAL

Quality Engineering Pub Date : 2022-09-13 DOI:10.1080/08982112.2022.2118062

Tak Cho Eric Ho, I. Zwetsloot

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引用次数: 0

摘要

井间声波测井层析成像(CSLT)是一种新兴的创新测量系统，可提供钻孔桩中缺陷的大小、形状和方向信息。本文通过测量仪器的重复性和再现性(R&R)研究，对CSTL系统的测量精度进行了量化，以了解和模拟测试操作人员、缺陷和测试机器对测量误差的影响。为此，我们建立了一个有三个已知缺陷的测试堆，并进行了各种测量实验。我们使用特征提取方法来量化测量误差。总的来说，我们发现CSLT在缺陷检测的实际应用中具有令人满意的重复性和再现性。

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Precision of CSLT measurement system for defect detection in bored piles

Abstract Crosshole Sonic Logging Tomography (CSLT) is an emerging innovative measurement system which provides information on the size, shape, and orientation of defects in a bored pile. In this paper, we quantify measurement precision of the CSTL system by a gage repeatability and reproducibility (R&R) study, in order to understand and model the effects of the test operators, defects, and the test machines on measurement error. We do this by setting up a test pile with three know defects and performing various measurement experiments. We use a feature extraction method to quantify measurement error. Overall, we find that the CSLT has satisfactory repeatability and reproducibility for practical usage of defect detection.

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来源期刊

Quality Engineering ENGINEERING, INDUSTRIAL-STATISTICS & PROBABILITY

CiteScore

3.90

自引率

10.00%

发文量

审稿时长

>12 weeks

期刊介绍： Quality Engineering aims to promote a rich exchange among the quality engineering community by publishing papers that describe new engineering methods ready for immediate industrial application or examples of techniques uniquely employed. You are invited to submit manuscripts and application experiences that explore: Experimental engineering design and analysis Measurement system analysis in engineering Engineering process modelling Product and process optimization in engineering Quality control and process monitoring in engineering Engineering regression Reliability in engineering Response surface methodology in engineering Robust engineering parameter design Six Sigma method enhancement in engineering Statistical engineering Engineering test and evaluation techniques.