Three-dimensional image rendering of steel reinforcing bars using curvilinear models applied to orthogonal line scans taken by an inductive sensorCitation formats

Standard

Three-dimensional image rendering of steel reinforcing bars using curvilinear models applied to orthogonal line scans taken by an inductive sensor. / Quek, Sung; Gaydecki, Patrick; Zaid, Muhammad A M; Miller, Graham; Fernandes, Bosco.

In: NDT and E International, Vol. 36, No. 1, 01.2003, p. 7-18.

Research output: Contribution to journalArticlepeer-review

Harvard

APA

Vancouver

Author

Quek, Sung ; Gaydecki, Patrick ; Zaid, Muhammad A M ; Miller, Graham ; Fernandes, Bosco. / Three-dimensional image rendering of steel reinforcing bars using curvilinear models applied to orthogonal line scans taken by an inductive sensor. In: NDT and E International. 2003 ; Vol. 36, No. 1. pp. 7-18.

Bibtex

@article{f79dd4b93b5f4dec9deb5ce99b416862,
title = "Three-dimensional image rendering of steel reinforcing bars using curvilinear models applied to orthogonal line scans taken by an inductive sensor",
abstract = "A technique is described that enables virtual reconstruction of three-dimensional images of steel reinforcing bars embedded within concrete. The method is based on the systematic characterization of an inductive sensor response, using appropriate curvilinear models; this characterization is then applied to real, two-dimensional scan data. The first phase involves formulating a mathematical description of the line scan response for a single bar, taken at several depths, using a Pearson VII model. The data in this case are termed the depth response image, with the critical properties of interest being the peak position, peak intensity, and full width at half height. The next phase requires application of this model to actual scan data, and a description of the sensor's depth response using a Bleasdale power-law regression model. In the final phase, different bar layers are isolated using a polynomial-based layer separation technique. Data provided by these means enable a three-dimensional image of the bar mesh to be constructed and visualized. Given a known bar size, the scan depth can be calculated to an accuracy of ± 2 mm or ± 5%, whichever is greater. When neither the depth nor the size is available, the method allows estimates to be made with accuracies of ± 1 bar size (DIN 488) and ±10% cover depth (BS1881).",
keywords = "Depth and diameter estimates, Layer separation, Rebar imaging, Three-dimensional rendering",
author = "Sung Quek and Patrick Gaydecki and Zaid, {Muhammad A M} and Graham Miller and Bosco Fernandes",
year = "2003",
month = jan,
doi = "10.1016/S0963-8695(02)00044-0",
language = "English",
volume = "36",
pages = "7--18",
journal = "NDT and E International",
issn = "0963-8695",
publisher = "Elsevier BV",
number = "1",

}

RIS

TY - JOUR

T1 - Three-dimensional image rendering of steel reinforcing bars using curvilinear models applied to orthogonal line scans taken by an inductive sensor

AU - Quek, Sung

AU - Gaydecki, Patrick

AU - Zaid, Muhammad A M

AU - Miller, Graham

AU - Fernandes, Bosco

PY - 2003/1

Y1 - 2003/1

N2 - A technique is described that enables virtual reconstruction of three-dimensional images of steel reinforcing bars embedded within concrete. The method is based on the systematic characterization of an inductive sensor response, using appropriate curvilinear models; this characterization is then applied to real, two-dimensional scan data. The first phase involves formulating a mathematical description of the line scan response for a single bar, taken at several depths, using a Pearson VII model. The data in this case are termed the depth response image, with the critical properties of interest being the peak position, peak intensity, and full width at half height. The next phase requires application of this model to actual scan data, and a description of the sensor's depth response using a Bleasdale power-law regression model. In the final phase, different bar layers are isolated using a polynomial-based layer separation technique. Data provided by these means enable a three-dimensional image of the bar mesh to be constructed and visualized. Given a known bar size, the scan depth can be calculated to an accuracy of ± 2 mm or ± 5%, whichever is greater. When neither the depth nor the size is available, the method allows estimates to be made with accuracies of ± 1 bar size (DIN 488) and ±10% cover depth (BS1881).

AB - A technique is described that enables virtual reconstruction of three-dimensional images of steel reinforcing bars embedded within concrete. The method is based on the systematic characterization of an inductive sensor response, using appropriate curvilinear models; this characterization is then applied to real, two-dimensional scan data. The first phase involves formulating a mathematical description of the line scan response for a single bar, taken at several depths, using a Pearson VII model. The data in this case are termed the depth response image, with the critical properties of interest being the peak position, peak intensity, and full width at half height. The next phase requires application of this model to actual scan data, and a description of the sensor's depth response using a Bleasdale power-law regression model. In the final phase, different bar layers are isolated using a polynomial-based layer separation technique. Data provided by these means enable a three-dimensional image of the bar mesh to be constructed and visualized. Given a known bar size, the scan depth can be calculated to an accuracy of ± 2 mm or ± 5%, whichever is greater. When neither the depth nor the size is available, the method allows estimates to be made with accuracies of ± 1 bar size (DIN 488) and ±10% cover depth (BS1881).

KW - Depth and diameter estimates

KW - Layer separation

KW - Rebar imaging

KW - Three-dimensional rendering

UR - http://www.scopus.com/inward/record.url?scp=0037218824&partnerID=8YFLogxK

U2 - 10.1016/S0963-8695(02)00044-0

DO - 10.1016/S0963-8695(02)00044-0

M3 - Article

AN - SCOPUS:0037218824

VL - 36

SP - 7

EP - 18

JO - NDT and E International

JF - NDT and E International

SN - 0963-8695

IS - 1

ER -