YaBeSH Digital Library: Recent submissions
Now showing items 2481-2500 of 316660
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Automatic Detection of Unsafe Behaviors Resulting from the Improper Use of PPE during Human–Robot Collaboration
(American Society of Civil Engineers, 2026)AbstractThe increasing integration of robotics in the industrial and construction sectors has significantly enhanced productivity and efficiency. However, the rapid adoption of human–robot collaboration (HRC) introduces ... -
Digital Twin Approach for Drift-Free UAV Localization in GPS-Denied Environments
(American Society of Civil Engineers, 2026)AbstractUnmanned aerial vehicles (UAVs) hold promise for automating civil infrastructure inspections, but reliable pose estimation is crucial for autonomous navigation in GPS-denied environments. While simultaneous ... -
A Stacking Ensemble Approach for Postdisaster Building Damage Assessment
(American Society of Civil Engineers, 2026)AbstractAutomated building damage assessment has emerged as a valuable tool for rapid disaster management response. However, conventional methods of damage assessment are labor-intensive and pose significant hazards. This ... -
Multimodal Data Fusion and Deep Learning for Predicting Air Pollution at Construction Sites
(American Society of Civil Engineers, 2026)AbstractThe construction sector is a major contributor to air pollution, emitting large volumes of particulate matter that pose significant health and environmental risks. Construction activities, such as excavation, ... -
Damage Identification Based on Bridge Displacement Response Considering Autocorrelation of the Dynamic Component
(American Society of Civil Engineers, 2026)AbstractBridges demand efficient and reliable methods of structural health monitoring, as visual inspection is time-consuming and resource-intensive. To address this challenge, this study proposes a damage identification ... -
Unsupervised Data Anomaly Detection Based on Spatio-Temporal Sparse Integration Framework
(American Society of Civil Engineers, 2026)AbstractData anomaly detection plays a pivotal role in structural health monitoring (SHM), enabling reliable and accurate assessment of structural condition. This paper proposes an unsupervised anomaly detection method ... -
Vision-Language Artificial Intelligence for Robotic-Based Monitoring: Concrete Defect Detection, Classification, and Localization in Two-Dimensional Maps
(American Society of Civil Engineers, 2026)AbstractThis paper introduces a novel framework that combines vision-language models (VLMs) and localization techniques to detect, classify, and localize visual structural defects using moving platforms such as robots and ... -
Design and Implementation of VR-ERGOEXO: A Virtual Reality Platform for Enhancing Ergonomic Compliance and Posture in Wearable Exoskeleton-Assisted Construction Tasks
(American Society of Civil Engineers, 2026)AbstractThe construction industry is characterized by physically demanding tasks that frequently result in high incidences of musculoskeletal disorders, fatigue, and workplace injuries. These ergonomic challenges pose ... -
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 ... -
Active Learning Kriging Integrated Method for Reliability Analysis of One-Dimensional Structures with Spatially Variable Parameters
(American Society of Civil Engineers, 2026)AbstractThe spatial variability of structural parameters has a significant impact on the stochastic response and reliability analysis of engineering structures. In traditional methods, structural parameters are often ... -
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 ...