Applicability of smart construction technology: Prioritization and future research directions

H Ahn, C Lee, M Kim, T Kim, D Lee, W Kwon… - Automation in …, 2023 - Elsevier
The potential for facilitating faster, safer, and more sustainable construction processes
through the adoption of smart construction technologies is widely recognized. However, the …

Review of simultaneous localization and mapping (SLAM) for construction robotics applications

A Yarovoi, YK Cho - Automation in Construction, 2024 - Elsevier
With the increasing affordability of robot technologies and the reduction in size and weight of
autonomous systems, the deployment of autonomous robotic systems on construction sites …

[HTML][HTML] Automatic compliance inspection and monitoring of building structural members using multi-temporal point clouds

K Mirzaei, M Arashpour, E Asadi, H Feng… - Journal of Building …, 2023 - Elsevier
Building structural works require regular inspections and monitoring of damage progression
to ensure compliance with relevant standards and jurisdictional requirements. Conventional …

Investigating the Increase in Load Rating and Reliability of a Prestressed Concrete Bridge When Utilizing Field-Derived Distribution and Impact Factors

M Debees, F Luleci, CZ Dong… - Journal of Bridge …, 2024 - ascelibrary.org
When the load rating of a bridge is less than 1.0 for AASHTO HL-93 live load and state-
specific legal trucks, the bridge is posted. Posting a bridge causes an inconvenience to the …

Automated geometric quality inspection for modular boxes using BIM and LiDAR

Y Tan, L Chen, M Huang, J Li, G Zhang - Automation in Construction, 2024 - Elsevier
Modular integrated construction (MiC) offers high construction quality and efficiency.
Currently, geometric quality inspections for modular boxes are conducted manually …

Point cloud and machine learning-based automated recognition and measurement of corrugated pipes and rebars for large precast concrete beams

J Shu, X Zhang, W Li, Z Zeng, H Zhang… - Automation in …, 2024 - Elsevier
It is important for quality inspection to quickly identify the correctness of the installation
position of corrugated pipes and rebars on construction site. A point clouds and machine …

Smart rebar progress monitoring using 3D point cloud model

AH Qureshi, WS Alaloul, A Murtiyoso… - Expert Systems with …, 2024 - Elsevier
Current rebar inspection practices in construction projects are manual in nature; hence, they
are time-consuming. Rebar drawings are technical; therefore, the accuracy of inspection …

Automated Scaling of Point Cloud Rebar Model via ArUco-Supported Controlled Markers

AH Qureshi, WS Alaloul, A Murtiyoso… - Journal of …, 2024 - ascelibrary.org
Photogrammetry has gained the interest of professionals and researchers for activities
related to construction projects' progress monitoring via attaining precise 3D point models …

Beyond development: Challenges in deploying machine learning models for structural engineering applications

MZ Esteghamati, B Bean, HV Burton… - arXiv preprint arXiv …, 2024 - arxiv.org
Machine learning (ML)-based solutions are rapidly changing the landscape of many fields,
including structural engineering. Despite their promising performance, these approaches …

Deformation Calculation Method of Reinforcement Part Considering the Randomness of the Welded Joint Stiffness

H Shen, H Zheng, Y Li, F Zhang - Journal of Materials in Civil …, 2024 - ascelibrary.org
The hoisting safety and the difficulty of the main reinforcement connection are directly
affected by stiffness of reinforcement parts. Quantifying the stiffness of reinforcement parts …