Journal of Computing in Civil Engineering: Recent submissions
Now showing items 41-60 of 2320
-
Segment Any Crack: Deep Semantic Segmentation Adaptation for Crack Detection
(American Society of Civil Engineers, 2026)AbstractImage-based crack detection algorithms are increasingly in demand in infrastructure monitoring, as early detection of cracks is of paramount importance for timely maintenance planning. While deep learning has ... -
CMCAB: An Insertable Block for Concrete Crack Detection Based on Masked Convolution Attention
(American Society of Civil Engineers, 2026)AbstractCracks are frequent defects that pose significant potential threats to structural safety and property. Due to the inefficiency of traditional crack detection methods, deep learning techniques—particularly convolutional ... -
AI-Driven Database Development for Seismic Loss Estimation in Data-Deficient Regions Using Open-Source Data
(American Society of Civil Engineers, 2026)AbstractEstablishing a building database for city-level earthquake simulations remains challenging due to missing building information. To address this issue, this study proposes an integrated framework that systematically ... -
Multiobjective Runway Assignment Strategy for Integrated Airside Operations under Uncertainty
(American Society of Civil Engineers, 2026)AbstractAir traffic controllers in airport towers face high mental workloads as they manage dense and dynamic traffic within limited airport capacities, often leading to airside congestion, safety risks, and excessive fuel ... -
Automated Inspection in Robotic 3D Printing: In-Process Geometrical Measurements Using Structured Light Machine Vision
(American Society of Civil Engineers, 2026)AbstractAutomated geometrical inspection during robotic layer deposition remains a major challenge in the field of construction three-dimensional (3D) printing. Existing methods are mainly designed for postprocess inspection ... -
Three-Dimensional Reconstruction Algorithm for Concrete Bridge Piers Based on Octree-GS and the Climbing Robot Platform
(American Society of Civil Engineers, 2026)AbstractThree-dimensional (3D) reconstruction of bridge piers is critical in bridge digital inspection and digital twin technologies. To address the limitations of existing unmanned aerial vehicles (UAVs) and wall-climbing ... -
The Role of a Wearable Electrodermal Activity Sensor in Assessing Individual Fall Risk
(American Society of Civil Engineers, 2026)AbstractFalls are a critical health and safety issue, causing over 46,000 deaths, 8.5 million injuries, and $190 billion in costs annually in the United States. To effectively prevent falls, assessing fall risk ... -
Research-to-Practice Drivers and Barriers: Visualization, Information Modeling, and Simulation Technologies in AEC/FM
(American Society of Civil Engineers, 2026)AbstractThe capital projects industry has seen numerous emerging technologies introduced to improve efficiency and productivity, yet few have been widely adopted and standardized, and only a small number of funded research ... -
Lightweight Cascade Algorithm for Concrete Crack Detection with Enhanced SSD Techniques
(American Society of Civil Engineers, 2026)AbstractThe detection and analysis of structural cracks in concrete bridges remain a critical challenge, particularly for routine inspections of key components such as beams, piers, and pavement. Cracks serve as vital ... -
Rapid Prediction of Regional Thermal Environment Parameters: A Method Based on Numerical Solution and Machine Learning Extension
(American Society of Civil Engineers, 2026)AbstractOutdoor microclimate is critical in assessing thermal comfort and building energy efficiency. However, traditional numerical simulations are limited by low computational efficiency due to their large model scales ... -
TailorAlert: Large Language Model–Based Personalized Alert Generation System for Road Infrastructure Management with Digital Twins
(American Society of Civil Engineers, 2026)AbstractDigital twins (DTs) have emerged as a promising tool in road infrastructure management, enabling real-time monitoring, proactive maintenance, and data-driven decision making. However, existing digital twin systems ... -
Bridging the Reality Gap in Digital Twins with Context-Aware, Physics-Guided Deep Learning
(American Society of Civil Engineers, 2026)AbstractDigital twins (DTs) enable powerful predictive analytics, but persistent discrepancies between simulations and real systems—known as the reality gap—undermine their reliability. Coined in robotics, the term now ... -
Applying LLM-Based Attribute Extraction and Classification of Buildability and Operability Issues During Preconstruction
(American Society of Civil Engineers, 2026)AbstractThousands of mechanical, electrical, and plumbing (MEP) issues identified during preconstruction in large facility projects need to be resolved efficiently to avoid costly rework. Their resolution depends on the ... -
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, ... -
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 ...