Journal of Computing in Civil Engineering: Recent submissions
Now showing items 141-160 of 2320
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Adaptive Analysis for Random Response of Wind–Vehicle–Bridge System Based on a Hybrid Deep-Learning Method
(American Society of Civil Engineers, 2026)AbstractA hybrid method for random response analysis of a wind–vehicle–bridge (WVB) system is presented. The method employs the gated recurrent unit (GRU) network to predict dynamic responses of the WVB system, enhanced ... -
Identification of Fluid-Filled Inclusions of Arbitrary Quantities and Shapes in Solids from Measured Elastodynamic Responses Using CNN
(American Society of Civil Engineers, 2026)AbstractThis study presents a data-informed convolutional neural network (CNN) for identifying fluid-filled (e.g., water) inclusions in two-dimensional (2D) solids. To generate training data, we simulate the propagation ... -
Rockfall-YOLO Deep Learning Model for Rockfall Motion Object Detection
(American Society of Civil Engineers, 2025)AbstractA Rockfall-You Only Look Once (YOLO) deep learning model is proposed in this study for rockfall detection to overcome the problems of current rockfall object detection models, such as the low detection accuracy of ... -
Leveraging IFC-Based Locational Information for Work Package Generation to Support Analysis of Robot-Assisted Construction
(American Society of Civil Engineers, 2026)AbstractThe current labor shortage is adversely impacting the construction industry. Automation and artificial intelligence (AI) have the potential to transform the architecture, engineering, and construction (AEC) industry ... -
Digitalizing Road Maintenance: A Novel Approach for the Preparation and Integration of 2D and 3D Road Data through Image Shadow Removal and Point Cloud Densification
(American Society of Civil Engineers, 2025)AbstractThe digitalization of road maintenance aims to combine digital technologies and harness data to revolutionize the current system to improve the safety, costs, and sustainability of road networks. But still, current ... -
Training Deep Learning Segmentation Models Using Super-Resolution Crack Images for Detection of Thin Concrete Cracks
(American Society of Civil Engineers, 2025)AbstractCracks are the most critical damage types on concrete structures, and they are commonly assessed based on visual inspection. Recently, there have been many attempts to replace conventional inspection with computer ... -
Development of a Machine Learning–Based Tool to Predict Asphalt Concrete Overlay Performance in Hot and Humid Climates
(American Society of Civil Engineers, 2025)AbstractHighway state agencies can achieve substantial budget savings through the strategic allocation of resources for pavement maintenance and rehabilitation activities. To achieve this, advanced prediction models are ... -
Scenario Modeling for Urban Road Emergency Management: A Cognitive Digital Twin–Based Method
(American Society of Civil Engineers, 2025)AbstractThe cognitive digital twin (CDT) concept provides a promising way to organize and integrate the full life-cycle data of urban road emergency scenarios, as well as facilitate scenario deduction and prediction. The ... -
UWB and IMU Fusion Construction Worker Localization Method Based on Transformer Correction
(American Society of Civil Engineers, 2025)AbstractThe localization technology for construction workers is a critical component of construction management. Presently, studies on the localization of construction workers primarily center on ultra-wideband (UWB). This ... -
Topological Data Analysis for Railway Track Geometry Safety and Maintenance
(American Society of Civil Engineers, 2025)AbstractThis paper explores the use of topological data analysis (TDA) to improve railway track geometry, focusing on enhancing safety and maintenance. It uses methods such as Betti numbers, homology, and the Mapper algorithm ... -
RE-YOLO: Vehicle Detector Based on Knowledge Distillation YOLOv8 for Autonomous Driving Scenarios
(American Society of Civil Engineers, 2025)AbstractVehicle detection tasks in autonomous driving scenarios face challenges such as illumination changes, motion blur, and target occlusion. This paper proposes a vehicle detector RepViT efficient-you only look once ... -
Operation Path Planning for Rail-Type Rebar Binding Robots Based on Improved Ant Colony Algorithm
(American Society of Civil Engineers, 2025)AbstractIn recent years, the engineering construction industry has faced challenges such as aging and labor shortages. Various intelligent construction robots have been researched and applied to bridge and building ... -
Explainable Machine-Learning Leak Identification Framework for Water Distribution Networks
(American Society of Civil Engineers, 2025)AbstractLeak identification in urban water distribution networks (WDNs) is a critical task with potential consequences. Acoustic-based convolutional neural networks (CNNs) have been widely employed for leak identification, ... -
Evaluating Road Crack Segmentation Performance in Participatory Sensing: An Exploration of Alternative Metrics
(American Society of Civil Engineers, 2025)AbstractIn participatory sensing, road cracks can be monitored utilizing the dashboard cameras (dashcams) of regular vehicles. While the predicted segmentation masks in dashcam images may seem satisfactory for assessing ... -
Semiautomatic IFC-Based BIM Reconstruction for As-Designed Bridges from 2D Plans Leveraging Semantic Segmentation and Enrichment
(American Society of Civil Engineers, 2025)AbstractBuilding information modeling (BIM) is an innovative approach that enables efficient life-cycle management of construction projects. The increasing application of BIM in the bridge sector can be attributed to its ... -
BIM-Based Automated Design Framework for Pavement Structures Considering Economy and Sustainability
(American Society of Civil Engineers, 2025)AbstractAdvanced computer information technologies are transforming the design methodologies and patterns of road infrastructure. Current pavement structure design processes heavily rely on manual decision-making and ... -
HangCon: Benchmark Data Set for Enhanced Detection of Hanging Objects in Construction Sites
(American Society of Civil Engineers, 2025)Lifting operations on construction sites pose significant safety risks due to the potential hazard of falling objects. Effective monitoring of hanging objects is crucial for preventing accidents and ensuring worker safety. ... -
Multimodal Data Fusion and Deep Learning for Occupant-Centric Indoor Environmental Quality Classification
(American Society of Civil Engineers, 2025)Amidst the growing recognition of the impact of indoor environmental conditions on buildings and occupant comfort, health, and well-being, there has been an increasing focus on the assessment and modeling of indoor ... -
Adaptive Information Filtering Method Based on Sensitivity Analysis for Bayesian Updating
(American Society of Civil Engineers, 2025)Bayesian updating is a powerful tool for updating engineering models with observed information. As a result of structural health monitoring sensors or platforms, up-to-date information reflecting characteristics of structures ... -
Graph Neural Network–Based Spatiotemporal Structural Response Modeling in Buildings
(American Society of Civil Engineers, 2025)Modeling structural responses is vital in building structural health monitoring. This study proposed the graph network–based structure simulator (GNSS), a method employing graph neural networks, for spatiotemporal structural ...