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Computational Geometric Approach for BIM Semantic Enrichment to Support Automated Underground Garage Compliance Checking
Publisher: ASCE
Abstract: The need for manual semantic annotation to domain-specific building information modeling (BIM) models limits the application of BIM technology in various architecture, engineering, and construction fields. BIM semantic ...
Information Integration of Regulation Texts and Tables for Automated Construction Safety Knowledge Mapping
Publisher: ASCE
Abstract: The explicit safety knowledge contained in regulations in the form of texts and tables is crucial for construction safety management. However, the presence of rich semantic content within texts and the intricate layout of ...
Feedforward Analysis for Shield-Ground System
Publisher: American Society of Civil Engineers
Abstract: Ground surface settlement is an important measurement in identifying potential damages for shield tunneling. Identifying the relationship between shield parameters and the resulting settlement is of vital importance to the ...
Optimal Camera Placement for Monitoring Safety in Metro Station Construction Work
Publisher: American Society of Civil Engineers
Abstract: Monitoring systems based on cameras are crucial for safety management of the high-risk activities common in the complex environment of metro station construction sites, and hence there is a need for a reliable camera network ...
Intelligent Approach Based on Random Forest for Safety Risk Prediction of Deep Foundation Pit in Subway Stations
Publisher: American Society of Civil Engineers
Abstract: 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 risks for subway deep foundation pits bears ...
Ontology-Based Semantic Modeling of Knowledge in Construction: Classification and Identification of Hazards Implied in Images
Publisher: ASCE
Abstract: Identifying potential hazards of construction project is a data-intensive process that involves various types of information such as site data, specifications, and engineering documents. How to effectively convert the ...
Predicting Safety Risks in Deep Foundation Pits in Subway Infrastructure Projects: Support Vector Machine Approach
Publisher: American Society of Civil Engineers
Abstract: Accurately predicting risks during the construction of deep foundation pits is pivotal to ensuring the safety of the workforce of public and adjacent structures. Existing methods for assessing such risks are cumbersome and ...