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assessment procedures that employ visual concrete crack data as input (e.g., measured crack widths, crack inclinations, crack patterns, etc.) and provide quantitative output related to bridge member health.Author’s Disclaimer: The contents of this report reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official view or policies of the Federal Highway … See more
As RC bridge infrastructure ages, it has become increasingly important to have damage assessment techniques which are not only practical and reliable, but also provide quantitative insight into the implications of observed cracking. While traditional methods … See more
"SDNET2018: A concrete crack image dataset for machine …
May 17, 2018 · SDNET2018 is an annotated image dataset for training, validation, and benchmarking of artificial intelligence based crack detection algorithms for concrete. …
- Author: Marc Maguire, Sattar Dorafshan, Robert J. Thomas
- Estimated Reading Time: 4 mins
- Publish Year: 2018
Concrete Crack Classification - GitHub
Utilizing a dataset of 40,000 concrete images, half of which contain cracks, the project employs PyTorch and the ResNet18 model to create a classifier that can accurately distinguish between cracked and uncracked concrete surfaces.
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Concrete Crack Detection dataset - GitHub
This repository contains the dataset for the implementation of Keras MaskRCNN on concrete cracks. You can refer to this for training on custom dataset.
rajashrichitti/Concrete-Crack-Images-for-Classification
The datasets contains images of various concrete surfaces with and without crack. The image data are divided into two as negative (without crack) and positive (with crack) in separate folder for image classification.
Sample collection of crack and non-crack images
A dataset consisting of concrete surface images was used to detect and classify cracks occurring in concrete structures, and a 99.87 % success rate was achieved with the proposed...
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Concrete crack analysis report | PDF - SlideShare
Feb 28, 2019 · The document discusses various methods for repairing cracks in concrete, such as epoxy injection, routing and sealing, stitching, drilling and plugging, or gravity filling cracks with low viscosity resins.
Cracks in concrete have many causes. They may affect appearance only, or they may indicate significant structural distress or a lack of durability. Cracks may represent the total extent of …
Evaluation of Structural Cracking in Concrete: Final Report
Apr 1, 2019 · The primary objective of this project was to develop crack-based strength assessment procedures that employ visual concrete crack data as input (e.g., measured crack …
thorough visual inspection and recording of cracks, estimation of the crack depth using ultrasonic pulse velocity measurements, investigation for voids between the concrete floor and the …
Concrete crack image datasets. | Download Scientific Diagram
This research assesses the performance of two deep learning models, SAM and U-Net, for detecting cracks in concrete structures.
Concrete Crack Images for Classification - Mendeley Data
Jul 23, 2019 · The dataset contains concrete images having cracks. The data is collected from various METU Campus Buildings. The dataset is divided into two as negative and positive …
All concrete has a tendency to crack and it is not possible to produce completely crack-free concrete. However, cracking can be reduced and controlled if the following basic concreting …
GitHub - nomiasif20/Concrete-Crack-Detection-using-Image …
In this project, Image-based techniques like Canny Edge Detection and Sobel Filter are used to detect the concrete cracks from the images stored in the datasets to determine specific …
The concrete crack dataset that contains the images of the cracks ...
Currently, the most common method for crack identification is manual detectio... ... pretrained deep learning network models, LeNet5, AlexNet, InceptionA, InceptionE, ResNet18, …
Analysis of Cracked Concrete Slabs - SOFiSTiK Tutorials 2024
This tutorial illustrates how to perform the analysis of cracked reinforced concrete surfaces with SOFiSTiK. A cracked concrete analysis and design requires a more comprehensive approach …
2.2 - Concrete Cracked Elastic Stresses Stage
This document summarizes the second stage in the flexural analysis of reinforced concrete beams, known as the concrete cracked - elastic stresses stage. In this stage, cracks start to …
Quantitative evaluation of crack size effect on concrete …
Mar 29, 2025 · Quantitative correlations between mechanical degradation, expansion, and crack size distribution have not been identified in previous research on concrete degradation caused …
Sample examples for concrete crack dataset: (a) original samples …
... this article, a two-step transfer learning strategy is proposed that considers a small number of geological trace samples and concrete crack datasets for structural surface trace...
Using 3D-Printed Formwork to Enable Controlled Crack Creation …
The employment of automated non-destructive testing (NDT) methods for crack characterization in concrete, needs calibration and benchmarking in a controlled environment. This requires …
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