Journal of Computing in Civil Engineering: Recent submissions
Now showing items 181-200 of 2320
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Automating Pipe Spool Fabrication Shop Scheduling for Modularized Industrial Construction Projects Using Reinforcement Learning
(American Society of Civil Engineers, 2025)Industrial projects are primarily constructed using a modularized and prefabricated approach. Modules are produced in an offsite fabrication shop and then transported to the construction site for installation. Thus, timely ... -
An Improved Random Forest–Based Operation Duration Prediction of Long-Distance Tunnel Construction Considering Geological Uncertainty
(American Society of Civil Engineers, 2025)Long-distance tunnel construction involves a sequence of construction operations that are influenced by various uncertain factors. Accurate operation duration prediction is critical to inform long-distance tunnel construction ... -
Rapid Visual Screening of Buildings for Potential Seismic Hazards: Automated Deep-Learning Classification Approach
(American Society of Civil Engineers, 2025)Rapid visual screening (RVS) is a way to assess unsafe structures and reduce urban earthquake vulnerability; which is labor-intensive, time-consuming, and costly through conventional methods. Given that screening relies ... -
Railway-Fastener Point Cloud Segmentation and Damage Quantification Based on Deep Learning and Synthetic Data Augmentation
(American Society of Civil Engineers, 2025)Accurate detection and quantification of damage to railway fasteners are crucial for ensuring railway safety. The spatial damage defects caused by the complex shape of fasteners and the problem of data imbalance in actual ... -
Multisource Data Integration and Computer Vision Technology in Uncertainty Quantification of Live Loads
(American Society of Civil Engineers, 2025)Quantifying the uncertainty of live loads holds a significant reference value for reliability assessments at the component, structural, and even urban levels. Traditional survey methods are characterized by high survey ... -
Inversion Identification of Cracks for Underground Shield Tunnel Structure Based on HHO-XFEM
(American Society of Civil Engineers, 2025)The crack damage of an underground shield tunnel structure is an important factor affecting its safety status. To evaluate the safety of the underground shield structure, based on the structure response measurement ... -
Fusion of Convolution Neural Network and Visual Transformer for Lithology Identification Using Tunnel Face Images
(American Society of Civil Engineers, 2025)This study proposes an intelligent method for recognizing the lithology of a tunnel working face by combining a convolutional neural network and visual transformer. First, an efficient method for collecting high-resolution ... -
Construction Resource Identification under Complex Conditions of Navigation–Power Junction Project Based on Improved YOLOv8 and Monocular Vision
(American Society of Civil Engineers, 2025)Real-time understanding of on-site construction personnel and construction machinery input is beneficial to navigation-power junction construction management. However, navigation-power junction projects consist of numerous ... -
Surface Feature and Defect Detection Method for Shield Tunnel Based on Deep Learning
(American Society of Civil Engineers, 2025)Surface defects in the segmental lining of shield tunnels, such as water leakage and damage, pose significant threats to safety. Currently, manual inspection methods are inefficient and inaccurate. Most artificial intelligence ... -
Exploring the Efficacy of Artificial Intelligence in Speed Prediction: Explainable Machine-Learning Approach
(American Society of Civil Engineers, 2025)The primary concern regarding road design elements is traffic stream speed, which is considered a good indicator of travel quality. Although a great deal of time and effort is needed to estimate traffic stream speed from ... -
Multilabel Sewer Pipe Defect Recognition with Mask Attention Feature Enhancement and Label Correlation Learning
(American Society of Civil Engineers, 2025)The coexistence of multiple defect categories as well as the substantial class imbalance problem significantly impair the detection of sewer pipeline defects. To solve this problem, a multilabel pipe defect recognition ... -
Learning-Based Picking and Placing Configuration Sampler for Mobile Crane Lift Path Planning
(American Society of Civil Engineers, 2025)Picking and placing configurations (PPCs) are critical for lifting-path planning, but are challenging to determine. The crane location regions (CLRs)-based sampler is an efficient method that can calculate PPCs, but it ... -
Automatic Completion of Underground Utility Topologies Using Graph Convolutional Networks
(American Society of Civil Engineers, 2025)The absence of utility data, particularly about topological information, presents a significant impediment to the efficient management of underground utilities. Previous studies predominantly focus on general attributes ... -
Research on a BIM Model Quality Compliance Checking Method Based on a Knowledge Graph
(American Society of Civil Engineers, 2025)With the development of information technology, building information modeling (BIM) is becoming widely used in the construction industry. It is very important to ensure the quality and compliance of BIM models. To solve ... -
Automated Part Placement for Precast Concrete Component Manufacturing: An Intelligent Robotic System Using Target Detection and Path Planning
(American Society of Civil Engineers, 2025)Placing embedded parts (EPs), e.g., junction boxes or plastic cable ducts, in a precast concrete (PC) component is a fundamental and repetitive trade in its manufacturing. Yet, such trade is far from being automated ... -
Real-Time Prediction of TBM Response Parameters Based on Temporal Convolutional Network
(American Society of Civil Engineers, 2025)Establishing an accurate predictive model for response parameters is the foundation of control parameter optimization for tunnel boring machines (TBMs). However, existing research mostly focuses on mean values during stable ... -
DCNCrack: Pavement Crack Segmentation Based on Large-Scaled Deformable Convolutional Network
(American Society of Civil Engineers, 2025)Fixed convolution kernels, leading to rich local contexts, restrict the adaptive spatial aggregation of a crack detection network. To solve this problem, we introduce a structure design that makes the Transformer-based ... -
Optimized Lightweight Edge Computing Platform for UAV-Assisted Detection of Concrete Deterioration beneath Bridge Decks
(American Society of Civil Engineers, 2025)This study introduces a transformative artificial intelligence of things (AIoT) framework that advances bridge maintenance by incorporating advanced inspection techniques. A central innovation is the Pilgrimage Walk ... -
Temporal- and Appearance-Guided Object Detection in Construction Machines Considering Out-of-Distribution Data
(American Society of Civil Engineers, 2025)The automation in the construction machine field requires a robust understanding of their surroundings and should be able to localize and classify surrounding objects robustly. State-of-the-art object detection algorithms ... -
Advanced Crack Detection in Reinforced Autoclaved Aerated Concrete Using Generative Data Augmentation and Enhanced Segmentation
(American Society of Civil Engineers, 2025)Cracks in reinforced autoclaved aerated concrete (RAAC) pose significant structural risks, including water ingress, corrosion of reinforcement, and, in extreme cases, potential collapse. The challenge is worsened by the ...