[HTML][HTML] Vision method based on deep learning for detecting concrete vibration quality

B Ren, H Wang, D Wang, T Guan, X Zheng - Case Studies in Construction …, 2023 - Elsevier
The vibration quality of concrete is crucial to ensure the long-term safe operation of concrete
structural components. In recent years, computer vision technology based on deep learning …

Real-time monitoring for vibration quality of fresh concrete using convolutional neural networks and IoT technology

D Wang, B Ren, B Cui, J Wang, X Wang… - Automation in …, 2021 - Elsevier
Vibration quality is critical to ensure the concrete strength, which directly affects the long-
term safe operation of concrete structures. The vibration duration and vibration depth are key …

An innovative deep neural network coordinating with percussion-based technique for automatic detection of concrete cavity defects

X Liao, Q Yan, Y Zhang, H Zhong, M Qi… - Construction and Building …, 2023 - Elsevier
Cavity defects are usually invisible in concrete, failure to detect and repair them in time could
significantly weaken the load-bearing capacity of engineering structures, potentially …

Vision-based concrete crack detection using a hybrid framework considering noise effect

Y Yu, B Samali, M Rashidi, M Mohammadi… - Journal of Building …, 2022 - Elsevier
Diagnosing surface cracks of concrete structures has been a critical aspect of assessing
structural integrity. Existing diagnosis technologies are time-consuming, subjective, and …

Basic research on usefulness of convolutional autoencoders in detecting defects in concrete using hammering sound

Y Sonoda, C Lu, Y Yin - Structural Health Monitoring, 2023 - journals.sagepub.com
Because hammering sound tests are inexpensive and can be performed easily, they are
commonly used as an inspection method for examining the presence of defect areas (voids …

Deep-Learning-Based Sound Classification Model for Concrete Pouring Work Monitoring at a Construction Site

I Kim, Y Kim, S Chin - Applied Sciences, 2023 - mdpi.com
In the present study, the utilization of sound data in research and technology is examined,
data classification techniques are analyzed, and the applicability and necessity of these …

Localization and imaging of internal hidden defects in concrete slabs based on deep learning of vibration signals

J Chen, G Shang - Journal of Building Engineering, 2023 - Elsevier
Internal hidden defects such as delamination and voids are common distress of concrete
slabs and the localization of these defects is important for structural safety. This paper …

Toward high-precision crack detection in concrete bridges using deep learning

Y Ni, J Mao, H Wang, Z Xi, Y Xu - Journal of Performance of …, 2023 - ascelibrary.org
Concrete cracks that cause durability problems and bearing capacity failure are critical for
evaluating the in-service performance of concrete bridges. It is still challenging for deep …

Visual Concrete Bridge Defect Classification and Detection Using Deep Learning: A Systematic Review

D Amirkhani, MS Allili, L Hebbache… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Visual inspection is an important process for maintaining bridges in road transportation
systems, and preventing catastrophic events and tragedies. In this process, accurate and …

[HTML][HTML] A novel approach for industrial concrete defect identification based on image processing and deep convolutional neural networks

A Gaur, K Kishore, R Jain, A Pandey, P Singh… - Case Studies in …, 2023 - Elsevier
The preservation of structural integrity and durability is essential for the long-term viability of
civil infrastructure projects. Addressing concrete defects promptly is crucial to achieving this …