Journal of Computing in Civil Engineering: Recent submissions
Now showing items 61-80 of 2320
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RandLA-Net-Assisted Scan-vs-BIM Framework with Adaptive Parameter Optimization for Construction Progress Monitoring
(American Society of Civil Engineers, 2026)AbstractLabor shortages in the construction industry have limited traditional manual progress monitoring, driving the demand for automated solutions. While many automated systems leverage the scan-vs-building information ... -
Vivid Concrete: A Physics-Based Visualization of Visible Damage of Concrete in Frame Members in Support of Virtual Earthquake Experience
(American Society of Civil Engineers, 2026)AbstractEarthquakes are low-frequency, high-impact natural disasters that require public preparedness to reduce associated risks. Virtual reality (VR) technology has been implemented in recent studies to create virtual ... -
UMDA: Lightweight and Efficient Crack Segmentation Model
(American Society of Civil Engineers, 2026)AbstractEfficient crack detection is vital for infrastructure safety, yet many deep learning models sacrifice practicality for precision, demanding resources beyond the reach of field-deployable devices. This paper presents ... -
An Enhanced LDC Model for Rock Pile Segmentation and Particle Size Analysis
(American Society of Civil Engineers, 2026)AbstractPrecise determination of particle size distribution on the rock pile is crucial to enhance mucking efficiency. However, conventional techniques are time-consuming and not easy to use. This study proposes a specialized ... -
Automated Three-Dimensional Sand Particle Shape Classification by PointConv-Transformer
(American Society of Civil Engineers, 2026)AbstractThe angularity and sphericity of sand particles significantly influence the shear strength, compressibility, void structure, and deformation behavior of soils. However, current computational geometry (CG) algorithms ... -
Stiffness-Embedded GNN Model for Structural Component Importance Analysis
(American Society of Civil Engineers, 2026)AbstractThis study proposes a framework for evaluating structural component importance (SCI) in framed structures by combining graph neural networks (GNNs) with an energy-based method (EBM). EBM provides an accurate and ... -
Equitable Prioritization of Off-System Bridge Maintenance under Tornado Risk Using Inspection Data and Digital Shadows
(American Society of Civil Engineers, 2026)AbstractOff-system bridges are essential for rural and underserved communities, providing crucial connectivity to larger transportation networks. Disasters such as tornadoes can severely disrupt these bridges and isolate ... -
Physics-Based Analysis and Data-Driven Detection of Artificial Intelligence–Generated Surface Crack Images for Civil Infrastructure Monitoring
(American Society of Civil Engineers, 2026)AbstractGenerative artificial intelligence (AI) is transforming the condition assessment of civil infrastructures, creating both opportunities and challenges. This paper aims to address challenges related to the authenticity ... -
Scalable Computational Framework for Evaluating Residential Energy Retrofits across Diverse Climates and Occupant Behaviors
(American Society of Civil Engineers, 2026)AbstractResidential energy retrofits are crucial for achieving national energy efficiency goals, yet their large-scale implementation is hindered by diverse climate conditions and occupant behaviors. This study introduces ... -
Automated Geometric Inspection of Building Pipes Using RGB-D Images Captured by a Mixed Reality Device
(American Society of Civil Engineers, 2026)AbstractInspection of building work, particularly the pipe systems, is a labor-intensive manual process prone to human errors and inefficiencies in detecting spatial conflicts and verifying geometric characteristics. ... -
Data-Driven Look-Ahead Planning: Automating Task Completion Rate Estimation in Construction
(American Society of Civil Engineers, 2026)AbstractThis paper introduces a method to automate task completion rate estimations for look-ahead planning in construction projects. The approach leverages information on material conditions and site space utilization ... -
Automated and Scalable Footstep Vibration-Based Pedestrian Localization in Built Environments Using Deep Learning
(American Society of Civil Engineers, 2026)AbstractWorks of social infrastructure, such as public parks and markets, play a crucial role in fostering well-being in urban communities. To evaluate their effectiveness, there is a need for nonintrusive, continuous ... -
Attention-Based Encoder for Online Data Anomaly Classification in Multivariate Time Series
(American Society of Civil Engineers, 2025)AbstractData collected from low-cost sensors in structural health monitoring (SHM) often contain anomalies, leading to misinterpretations of subsequent structural condition assessment. Therefore, the classification model ... -
Optimization of Building Heat Load Prediction Based on Rolling Period Average Outdoor Temperature and Interpretable Models
(American Society of Civil Engineers, 2026)AbstractIn the context of pressing challenges related to energy and the environment, enhancing building energy efficiency assumes paramount importance. Accurate prediction of heat loads emerges as a pivotal aspect for ... -
Belief Update Modeling for AI Agents by Human-Derived Dual-Thresholds Evidence Accumulation Process
(American Society of Civil Engineers, 2026)AbstractAutonomous drones play an increasingly critical role in dynamic environments, where effective decision-making depends on accurate and timely belief updates. However, the processes by which artificial intelligence ... -
Tunnel Crack Detection and Evaluation Based on Improved Holistically Nested Edge Detection Network
(American Society of Civil Engineers, 2026)AbstractCrack detection is essential for the routine inspection of subway tunnels. This study addresses key challenges, such as low image acquisition efficiency, poor recognition performance, and the inability to quantify ... -
Autonomous Rail Rapid Transit Pavement Damage Segmentation Algorithm Based on YOLOv8s-D
(American Society of Civil Engineers, 2025)AbstractThe integrity of autonomous rail rapid transit (ART) is crucial for efficient transportation system operation. However, accurately identifying damage to ART pavements in complex backgrounds poses a challenge for ... -
Synthetic-to-Real Domain Adaptation with Virtual Laser Scanning and Self-Training–Based Category-Aware Cuboid Mixing for Semantic Segmentation of Bridge Point Clouds
(American Society of Civil Engineers, 2026)AbstractA scarcity of real-world point clouds poses a considerable challenge in training a bridge semantic segmentation model. Although virtual point cloud synthetization offers a promising alternative, the persistent ... -
Multitask Sparse Bayesian Machine Learning with Applications in Modeling of Seismic Attenuation and Clay Parameters with Small Data Sets
(American Society of Civil Engineers, 2026)AbstractMultitask sparse Bayesian learning (SBL) has received extensive attention because it makes full use of multiple groups of data by joint learning of sparse representations for multiple models. It is capable of ... -
Efficient Track Irregularity Prediction Using TimeGAN and BLS-SVR
(American Society of Civil Engineers, 2026)AbstractMonitoring track irregularity is vital for ensuring the safety and comfort of railway transportation. Accurate predictions of track irregularities allow infrastructure managers (IMs) to develop cost-effective ...