Search Results for author: Zehui Zhu

Found 6 papers, 1 papers with code

Development of a full-Scale approach to predict overlay reflective crack

no code implementations29 Mar 2024 Zehui Zhu, Imad L. Al-Qadi

Experiments were conducted to compare the reflective crack behaviour of two overlay configurations.

SIFT-Aided Rectified 2D-DIC for Displacement and Strain Measurements in Asphalt Concrete Testing

no code implementations29 Feb 2024 Zehui Zhu, Imad L. Al-Qadi

As a pre-processing technique, the proposed method showed promising performance in assisting the recently developed CrackPropNet for automated crack propagation measurement under a non-perpendicular camera alignment.

Asphalt Concrete Characterization Using Digital Image Correlation: A Systematic Review of Best Practices, Applications, and Future Vision

no code implementations26 Feb 2024 Siqi Wang, Zehui Zhu, Tao Ma, Jianwei Fan

This article presents a state-of-art review of DIC as a crucial tool for laboratory testing of asphalt concrete (AC), primarily focusing on the widely utilized 2D-DIC and 3D-DIC techniques.

Real-Time Asphalt Pavement Layer Thickness Prediction Using Ground-Penetrating Radar Based on a Modified Extended Common Mid-Point (XCMP) Approach

no code implementations7 Jan 2024 Siqi Wang, Zhen Leng, Xin Sui, Weiguang Zhang, Tao Ma, Zehui Zhu

This study investigates the affecting factors and develops a modified XCMP method to allow automatic thickness prediction of in-service asphalt pavement with non-uniform dielectric properties through depth.

Dielectric Constant Edge Detection +1

Crack Detection of Asphalt Concrete Using Combined Fracture Mechanics and Digital Image Correlation

no code implementations8 May 2023 Zehui Zhu, Imad L. Al-Qadi

Second, a robust method was developed to detect cracks based on displacement fields.

Automated crack propagation measurement on asphalt concrete specimens using an optical flow-based deep neural network

1 code implementation10 Mar 2023 Zehui Zhu, Imad L. Al-Qadi

This article proposes a deep neural network, namely CrackPropNet, to measure crack propagation on asphalt concrete (AC) specimens.

Optical Flow Estimation

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