Journal of Computing in Civil Engineering: Recent submissions
Now showing items 21-40 of 2088
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Expert Experience–Embedded Evaluation and Decision-Making Method for Intelligent Design of Shear Wall Structures
(American Society of Civil Engineers, 2025)Rapid progress in intelligent design technology for shear wall structures has significantly advanced the field. However, efficient evaluation and decision-making of various intelligent design outcomes remain challenging, ... -
Estimation of Soil Water Characteristic Curve Using Machine-Learning Algorithms and Its Application in Embankment Response
(American Society of Civil Engineers, 2025)The parameters of the soil water characteristic curve (SWCC) play a pivotal role in the examination of unsaturated soil behavior. This study employs three machine learning models—random forest (RF), extreme gradient boosting ... -
Deep Learning–Based Scan-to-BIM Automation and Object Scope Expansion Using a Low-Cost 3D Scan Data
(American Society of Civil Engineers, 2024)To bridge the gap in as-built Building Information Model (BIM) creation between the architectural, engineering, and construction (AEC) community and the computer vision community, this paper presents an automated Scan-to-BIM ... -
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 ... -
Data-Driven Deep-Learning Model for Predicting Jacking Force of Rectangular Pipe Jacking Tunnel
(American Society of Civil Engineers, 2025)The advancement of computer technology has led to the increased utilization of new algorithms, such as machine learning, in various fields including underground engineering. The estimation of jacking force plays a critical ... -
Damage Detection for a Cantilevered Steel I-Beam through Deep-Learning Methods: LSTM, Multivariate Time-Series Transformer, and LSTM-Based Autoencoder
(American Society of Civil Engineers, 2025)The structural integrity of steel trusses and I-beams is of vital importance for preventing the potential collapse of steel bridges when subjected to extraordinary forces. Thus, identifying damage to I-beams, which cannot ... -
Computer Vision-Based Intelligent Monitoring of Disruptions due to Construction Machinery Arrival Delay
(American Society of Civil Engineers, 2025)Construction disruptions often cause schedule delays and budget overruns. Accurate disruption monitoring is crucial for the timely recovery of affected construction projects. This study proposes a computer vision-based ... -
A Hybrid Framework for Predicting Crash Severity in Construction Work Zones Using Knowledge Distillation and Conditional GANs
(American Society of Civil Engineers, 2025)Construction work zone crashes represent a critical area of concern within the realm of traffic safety, posing unique challenges for both road users and transportation authorities. Common factors contributing to work zone ... -
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 ... -
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 ... -
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 ... -
Vision-Based Body Pose Estimation of Excavator Using a Transformer-Based Deep-Learning Model
(American Society of Civil Engineers, 2025)Devoted to safety, efficiency, and productivity management on construction sites, a deep-learning method termed transformer-based mechanical equipment pose network (TransMPNet) is proposed in this research to work on images ... -
Understanding Construction Workers’ Risk Perception Using Neurophysiological Responses
(American Society of Civil Engineers, 2024)In the dynamic construction environment, workers’ safety heavily depends on their ability to effectively perceive and react to hazards. Accordingly, studies have assessed the status of workers’ risk perception using advanced ... -
Three-Dimensional Wireframe Reconstruction for Non-Manhattan-Shaped Point Clouds
(American Society of Civil Engineers, 2024)This study proposes a feature relationship algorithm (FRA) to reconstruct three-dimensional wireframes of objects with non-Manhattan shapes using segmented point clouds. Instead of relying on extracting target boundaries, ... -
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 ... -
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 ... -
Road Visibility Detection Based on Convolutional Neural Networks with Point Cloud: RGB Fused Fog Images
(American Society of Civil Engineers, 2025)Fog imposes adverse effect on driving safety. Traditional visibility measurement methods are expensive and limited to a short distance along the roadway. This study aims to identify visibility levels from foggy road images ... -
Risk-Optimal and Equitable Retrofitting Strategy Using a Siamese Graph Neural Network for Earthquake-Induced Landslide Hazards
(American Society of Civil Engineers, 2025)Landslides pose a severe threat to road networks, particularly in hilly terrains, often exacerbated by triggering events such as earthquakes. Hence, it is crucial to comprehensively evaluate their risk and optimize retrofits ... -
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 ... -
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 ...