Building Information Modelling (BIM) adoption and implementation enablers in AEC firms: A systematic literature review
ABSTRACT Building Information Modelling (BIM) has gained much attention in recent years,
as both a new innovation and methodology. Many architecture, engineering and …
as both a new innovation and methodology. Many architecture, engineering and …
Building information modelling and green buildings: challenges and opportunities
AMI Raouf, SG Al-Ghamdi - Architectural Engineering and Design …, 2019 - Taylor & Francis
The advent of building information modelling (BIM) is revolutionising the conventional
practices of the construction industry and has reinforced the impact of the design process on …
practices of the construction industry and has reinforced the impact of the design process on …
A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory
L Ding, W Fang, H Luo, PED Love, B Zhong… - Automation in …, 2018 - Elsevier
Computer vision and pattern recognition approaches have been applied to determine
unsafe behaviors on construction sites. Such approaches have been reliant on the …
unsafe behaviors on construction sites. Such approaches have been reliant on the …
BIM-based tunnel information modeling framework for visualization, management, and simulation of drill-and-blast tunneling projects
Tunnel construction fundamentally differs from building and aboveground civil infrastructure
projects. Drill-and-blast is one of the most common and flexible tunnel construction methods …
projects. Drill-and-blast is one of the most common and flexible tunnel construction methods …
Intelligent approach based on random forest for safety risk prediction of deep foundation pit in subway stations
The number of safety accidents caused by excavation of deep foundation pits in subway
stations has been increasing rapidly in recent years. Thus, precisely predicting the safety …
stations has been increasing rapidly in recent years. Thus, precisely predicting the safety …
Quantification of water inflow in rock tunnel faces via convolutional neural network approach
Quantifying water inflow information from rock tunnel faces is critical for field engineers to
assess the rock mass rating and subsequently make appropriate construction management …
assess the rock mass rating and subsequently make appropriate construction management …
[HTML][HTML] The promise of BIM? Searching for realized benefits in the Nordic architecture, engineering, construction, and operation industries
S Lidelöw, S Engström, O Samuelson - Journal of Building Engineering, 2023 - Elsevier
Benefits of BIM are not being achieved as expected in the mainstream architecture,
engineering, construction, and operation (AECO) industries. Here, we aim to contrast …
engineering, construction, and operation (AECO) industries. Here, we aim to contrast …
Using Bayesian network for safety risk analysis of diaphragm wall deflection based on field data
This study proposes a risk analysis model based on the Bayesian network for diaphragm
wall deflection to ensure safety during excavation. Compared with the traditional methods …
wall deflection to ensure safety during excavation. Compared with the traditional methods …
An IFC-inspection process model for infrastructure projects: Enabling real-time quality monitoring and control
Comprehensive and timely inspection of quality issues is critical for reducing rework and
delays in infrastructure projects. Enabling a real-time quality checking guidance system to …
delays in infrastructure projects. Enabling a real-time quality checking guidance system to …
Holistic green BIM: a scientometrics and mixed review
Purpose Despite the construction industry's significant impact on high energy use and a
growing carbon footprint, technologies like Green BIM help to optimize natural resources …
growing carbon footprint, technologies like Green BIM help to optimize natural resources …