Mr. Ahmed Alzeyadi Profile

Ahmed Alzeyadi

Postdoctoral Research Associate at Univ. of Massachusetts Lowell

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Publications (11)

Proceedings Article | 10 May 2024 Presentation

Effects of moisture and chloride content on critical contour area in synthetic aperture radar images

Tzuyang Yu, Ahmed Alzeyadi

Proceedings Volume PC12950, PC129500B (2024) https://doi.org/10.1117/12.3011162

KEYWORDS: Synthetic aperture radar, Moisture, Nondestructive evaluation, Vacuum chambers, Remote sensing, Radar imaging, Radar, Objectives, Manufacturing, Electromagnetism

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Proceedings Article | 18 April 2023 Paper

Remote detection of chloride ion content in concrete using SAR

Ahmed Alzeyadi, Tzuyang Yu

Proceedings Volume 12487, 1248710 (2023) https://doi.org/10.1117/12.2661309

KEYWORDS: Synthetic aperture radar, Dielectrics, Imaging systems, Cements, Radar imaging, Radar, Radar signal processing

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Presence of chloride ions is the main cause responsible for the corrosion of steel rebars and other components in concrete structures. Detecting the presence and amount of chloride ions in concrete, however, is a challenging task. In this paper, we present our development on the use of synthetic aperture radar (SAR) imaging for the remote detection of chloride ion content in concrete. SAR imaging is a remote sensing technique capable of performing noncontact subsurface inspection of dielectric materials like Portland cement concrete. Such techniques can be applied to field inspection of concrete structures and laboratory material characterization. The objective of this paper is to demonstrate the application of SAR imaging on characterizing chloride content inside oven-dried concrete specimens, using a 10-GHz central frequency SAR imaging sensor. Twelve concrete specimens (0.3x0.3x0.05 m3 ) with a 0.45 water-to-cement ratio were manufactured in six groups of different chloride contents (0%, 2%, 4%, 6%, 8%, and 10% of cement weight). Four SAR image-based parameters were developed from each SAR image of concrete specimens for chloride, including integrated amplitude Iint, average maximum amplitude Imax, critical contour area Ac, and average Gaussian curvature of critical contour Kavg. A parametric analysis on the combined use of different numbers of SAR image parameters was carried out to determine the optimal application of SAR image parameters on the chloride detection problem in this paper. From our result, it is found that, for the purpose of chloride detection inside concrete specimens using single SAR parameter, integrated amplitude Iint. When using two SAR image parameters, combination of integrated amplitude Iint and critical contour area Ac shows the best performance among other two-parameter combinations. When using three SAR image parameters, combination of integrated amplitude, critical contour area, and average maximum amplitude shows the best performance among other three-parameter combinations. Furthermore, it is interesting to report that combination of three SAR image parametersprovides the overall best performance among all other combinations for the chloride detection problem in oven-dried concrete specimens.

Proceedings Article | 18 April 2022 Presentation + Paper

Interpretation of synthetic aperture radar images of concrete by combined uses of image parameters

Tzuyang Yu, Ahmed Alzeyadi

Proceedings Volume 12047, 120470N (2022) https://doi.org/10.1117/12.2612624

KEYWORDS: Synthetic aperture radar, Performance modeling, Dielectrics, Signal to noise ratio, Scattering, Remote sensing, Reflection, Radar imaging, Imaging systems, Image resolution

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Synthetic aperture radar (SAR) imaging has become an emerging technique in the remote subsurface sensing of construction materials (dielectrics) such as concrete, FRP-concrete, timber, and masonry. Increased center frequency, bandwidth, and synthetic aperture can improve the resolution of SAR images with better contrast and signal-to-noise ratio for condition assessment. However, since most reported SAR applications are for surface sensing, little is known about how to interpret SAR images for subsurface sensing of construction materials. In this paper, extraction, interpretation, and application of parameters from SAR images are presented for condition assessment, using two sides of a CFRP-concrete specimen as an example. A 10-GHz center frequency laboratory SAR imaging system was used for data collection. Seven incident angles were considered (0-deg, 15-deg, 20-deg, 30-deg, 35-deg, 45-deg, and 60-deg.) Multi-dimensional SAR image parameters were defined and applied to the fourteen SAR images of the CFRP-concrete specimen. We have found that performance of SAR image parameters depends on the type of condition assessment problems at hand. Combined use of SAR image parameters of different dimensionalities is encouraged, but a systematic understanding on the physical meaning of each SAR image parameter is necessary. Maximum SAR amplitude is easily affected by background noise. Integrated SAR amplitude in theory performs better than the maximum SAR amplitude. Range curves of SAR images are similar to the A-scan curves in GPR, but they contain more coupling effects from geometry and material's. Cross-range curves of SAR images can also used for surface profiling of concrete specimens. Critical contours of SAR images show the spatial distribution of the backscattering response of concrete. K-R-I curves of SAR images extract features of the images and facilitate quantitative comparison between two SAR images collected at different orientations and image resolutions.

Proceedings Article | 22 March 2021 Presentation + Paper

Determination of critical contour area in SAR images of concrete for subsurface moisture sensing

Ahmed Alzeyadi, Tzuyang Yu

Proceedings Volume 11591, 1159114 (2021) https://doi.org/10.1117/12.2582431

KEYWORDS: Synthetic aperture radar, Radar, Laboratory techniques, Image analysis, Corrosion, Cements

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Proceedings Article | 22 March 2021 Paper

Remote moisture quantification of concrete using SAR images and the K-R-I transform

Ahmed Alzeyadi, Tzuyang Yu

Proceedings Volume 11592, 1159207 (2021) https://doi.org/10.1117/12.2582429

KEYWORDS: Synthetic aperture radar, Structural health monitoring, Shape analysis, Sensors, Radar imaging, Quantitative analysis, Optical sensors, Nondestructive evaluation, Manufacturing, Corrosion

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SPIE Journal Paper | 12 June 2020

Subsurface characterization of moisture content and water-to-cement ratio of concrete specimens using remote synthetic aperture radar imaging

Ahmed AlZeyadi, Tzuyang Yu

JARS, Vol. 14, Issue 02, 024520, (June 2020) https://doi.org/10.1117/12.10.1117/1.JRS.14.024520

KEYWORDS: Synthetic aperture radar, Dielectrics, Cements, Radar imaging, Imaging systems, General packet radio service, Microwave radiation, Sensors, Civil engineering, Radar

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Proceedings Article | 1 April 2019 Paper

Characterization of dielectric constant of masonry wall using synthetic aperture radar imaging

Jie Hu, Ahmed AlZeyadi, Qixiang Tang, Tzuyang Yu

Proceedings Volume 10971, 109710S (2019) https://doi.org/10.1117/12.2514068

KEYWORDS: Synthetic aperture radar, Dielectrics, Radar, Radar imaging, Imaging systems, Nondestructive evaluation, Civil engineering, Antennas, Inspection

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Proceedings Article | 1 April 2019 Paper

Characterization of textile effects on concrete panel using synthetic aperture radar imaging

Jie Hu, Ahmed Alzeyadi, Tzuyang Yu

Proceedings Volume 10971, 1097106 (2019) https://doi.org/10.1117/12.2514198

KEYWORDS: Synthetic aperture radar, Radar imaging, Radar, Imaging systems, Nondestructive evaluation, Reflection, Data modeling

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Proceedings Article | 1 April 2019 Presentation + Paper

Electromagnetic sensing of a subsurface metallic object at different depths

Ahmed Alzeyadi, Jie Hu, Tzuyang Yu

Proceedings Volume 10971, 1097105 (2019) https://doi.org/10.1117/12.2514460

KEYWORDS: Synthetic aperture radar, Signal to noise ratio, Radar, Sensors, Imaging systems, Signal attenuation, Electromagnetism, Radar imaging, Scattering, Reflection

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Proceedings Article | 27 March 2019 Paper

Detecting underground metallic objects of different sizes using synthetic aperture radar

Ahmed Alzeyadi, Jie Hu, Tzuyang Yu

Proceedings Volume 10970, 109702W (2019) https://doi.org/10.1117/12.2514480

KEYWORDS: Synthetic aperture radar, Radar, Land mines, Signal to noise ratio, Sensors, Imaging systems, Remote sensing, Radar imaging, Improvised explosive devices, Reflection

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Proceedings Article | 27 March 2018 Presentation + Paper

Characterization of the range effect in synthetic aperture radar images of concrete specimens for width estimation

Ahmed Alzeyadi, Tzuyang Yu

Proceedings Volume 10599, 1059916 (2018) https://doi.org/10.1117/12.2294540

KEYWORDS: Synthetic aperture radar, Radar, Imaging systems, Radar imaging, Sensors, Nondestructive evaluation, Scattering, Cements, Image resolution, Reconstruction algorithms

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Showing 5 of 11 publications

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