YaBeSH Digital Library: Recent submissions
Now showing items 2581-2600 of 316660
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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 ... -
Safety Risk Assessment of Hydraulic Climbing Formwork Construction Based on System-Theoretic Process Analysis and Dynamic Bayesian Networks
(American Society of Civil Engineers, 2026)AbstractHydraulic climbing formwork (HCF) is an efficient and highly automated construction technology that has been widely applied in the construction of super high-rise buildings and long-span bridges. Ensuring the safety ... -
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 ... -
Conceptual Design of a Novel UHPC-NC Hybrid Continuous Box-Girder System with Controllable Long-Term Deflection
(American Society of Civil Engineers, 2026)Abstract Long-span prestressed concrete continuous bridges are prone to excessive deflection at the main span during long-term operation, which often interacts with cracking issues. To address this challenge, this paper ... -
Fast Automatic Segmentation of Microseismic and Blasting Events without Labeled Data Using Sparse Graph Spectral Clustering
(American Society of Civil Engineers, 2026)AbstractDifferentiating between microseismic and blasting events is a classical task in underground excavation monitoring. Most of the machine learning methods utilized for this task are supervised and require labeled data. ... -
Seismic Resilience of Railway Bridges with Vertical–Lateral Resistance-Decoupled Girder Support and Semihinged Column–Footing Connections
(American Society of Civil Engineers, 2026)Abstract Seismic isolation has become a mature and widely adopted strategy for mitigating earthquake-induced damage in high-intensity seismic regions. The incorporation of energy dissipation (ED) devices has further advanced ... -
Seismic Performance Assessment of Self-Centering Tall Piers: Cyclic Loading Test and Numerical Analysis
(American Society of Civil Engineers, 2026)Abstract This paper introduces the cyclic loading test and numerical model of a novel self-centering (SC) tall pier. This tall pier system is connected to the girder and foundation, respectively, through pre-embedded ... -
Multisource Feature Aggregation Approach for Predicting Extreme Pitting Depth Distributions of In Situ Bridge Cable Wires
(American Society of Civil Engineers, 2026)Abstract Extreme pitting depths in bridge cable steel wires serve as fatigue crack initiation sites, making accurate assessment crucial for failure risk prediction. Existing methods require rust removal and cable disassembly, ... -
Experimental and Numerical Evaluation of the Sandwich Panel Repair Method for Corrosion-Damaged Bridge Girders
(American Society of Civil Engineers, 2026)Abstract Steel girder ends in bridges can be susceptible to corrosion damage from deicing salts, water, and other contaminants that leak from failed deck expansion joints. When corrosion becomes significant, it can decrease ...