Machine learning and image processing approaches for estimating concrete surface roughness using basic cameras

A Valikhani, A Jaberi Jahromi… - … ‐Aided Civil and …, 2021 - Wiley Online Library
Casting concrete at different ages for new construction and repairing or retrofitting concrete
structures requires a sufficient bond between concrete casts. The bond strength between …

[PDF][PDF] Comparison of Methods for Texture Assessment of Concrete Surfaces.

PMD Santos, ENBS Júlio - ACI Materials Journal, 2010 - researchgate.net
The bond strength of the interface between concrete layers cast at different times is
important to ensure the monolithic behavior of reinforced concrete (RC) composite …

Machine vision-based concrete surface quality assessment

Z Zhu, I Brilakis - Journal of Construction Engineering and …, 2010 - ascelibrary.org
Manually inspecting concrete surface defects (eg, cracks and air pockets) is not always
reliable. Also, it is labor-intensive. In order to overcome these limitations, automated …

Crack and noncrack classification from concrete surface images using machine learning

H Kim, E Ahn, M Shin, SH Sim - Structural Health Monitoring, 2019 - journals.sagepub.com
In concrete structures, surface cracks are important indicators of structural durability and
serviceability. Generally, concrete cracks are visually monitored by inspectors who record …

A new method for evaluating the surface roughness of concrete cut for repair or strengthening

AI Abu-Tair, D Lavery, A Nadjai, SR Rigden… - … and building materials, 2000 - Elsevier
Deterioration to concrete structures usually starts at the surface and progresses into the
structure. The deteriorated concrete has to be removed and replaced by new repair material …

A state-of-the-art review on roughness quantification methods for concrete surfaces

PMD Santos, ENBS Júlio - Construction and Building Materials, 2013 - Elsevier
Surface roughness plays an important role in the behavior of concrete-to-concrete
interfaces. Methods like sand-blasting and hydrodemolition are usually adopted to improve …

Identification of concrete surface damage based on probabilistic deep learning of images

Y Zhang, YQ Ni, X Jia, YW Wang - Automation in Construction, 2023 - Elsevier
Crack is common damage that can reduce the durability of concrete structures and
accelerate structural degradation. With intent to improve the accuracy and efficiency of …

An analogy between various machine-learning techniques for detecting construction materials in digital images

A Rashidi, MH Sigari, M Maghiar, D Citrin - KSCE Journal of Civil …, 2016 - Springer
Digital images and video clips collected at construction jobsites are commonly used for
extracting useful information. Exploring new applications for image processing techniques …

Machine learning in concrete technology: A review of current researches, trends, and applications

Y Gamil - Frontiers in Built Environment, 2023 - frontiersin.org
Machine learning techniques have been used in different fields of concrete technology to
characterize the materials based on image processing techniques, develop the concrete mix …

Characterization of laser scanners and algorithms for detecting flatness defects on concrete surfaces

P Tang, D Huber, B Akinci - Journal of Computing in Civil …, 2011 - ascelibrary.org
In many construction and infrastructure management projects, it is important to ensure the
flatness of concrete surfaces. Inspectors assess the quality of flat surface construction by …