ASCE: Recent submissions
Now showing items 361-380 of 107386
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Socially Aware Shared Control Navigation for Assistive Mobile Robots in the Built Environment
(American Society of Civil Engineers, 2026)AbstractAs the number of persons with disabilities (PWD), particularly those with one or more physical impairments increases, there has been an increasing demand for assistive technologies that can support independent ... -
Pavement Performance Prediction for Continuous Road Sections Considering Spatial Correlation: A Deep Learning–Based Framework
(American Society of Civil Engineers, 2025)AbstractThe accuracy of pavement performance prediction models directly affects the development of pavement maintenance and rehabilitation (M&R) decision plans. However, existing pavement performance prediction models ... -
A Comparative Study of Algebraic and Backprojection Reconstruction Techniques for Concrete Ultrasonic Tomography
(American Society of Civil Engineers, 2025)AbstractUltrasonic tomography is a promising nondestructive technique for evaluating the internal state of concrete elements, which is crucial for maintaining the sustainability and safety of civil infrastructures. In civil ... -
YOLO-RAPD: Enhanced YOLOv8s-Based Automated Detection of Road Assets and Pavement Distress
(American Society of Civil Engineers, 2025)AbstractThis paper introduces an object detection algorithm called you only look once-road assets and pavement distress (YOLO-RAPD), developed to automatically identify road assets and pavement distresses. YOLO-RAPD is an ... -
Text2BIM: Generating Building Models Using a Large Language Model-Based Multiagent Framework
(American Society of Civil Engineers, 2026)AbstractThe conventional BIM authoring process typically requires designers to master complex and tedious modeling commands to materialize their design intentions within BIM authoring tools. This additional cognitive burden ... -
Pre-Bored PC Pile Capacity Prediction in Drained Soils Using Artificial Neural Network
(American Society of Civil Engineers, 2026)AbstractThis study evaluated the performance of artificial neural network (ANN) in determining pre-bored precast concrete (PC) pile capacities, utilizing a database of 39 drained pile load tests under axial compression. ... -
Leveraging Open-Vocabulary Object Detection in Goal-Oriented Navigation for Assessing Indoor Energy–Intensive Devices
(American Society of Civil Engineers, 2025)AbstractEnergy auditing is crucial to improve energy efficiency in buildings. This paper focuses on the initial stage of energy auditing: collecting data on energy-intensive devices, which account for 20% of major building ... -
ConvNextV2X: Road Microcrack Detection Algorithm Based on Improved Multiscale Feature Fusion
(American Society of Civil Engineers, 2026)AbstractRoad microcracks are difficult to detect in their early stages. If not detected and repaired in a timely manner, they gradually expand under continuous traffic loads and environmental factors. This expansion ... -
Safety Consultation for Prefabricated Construction: A Localized Retrieval-Augmented Generative Question-Answering System
(American Society of Civil Engineers, 2025)AbstractDespite inherent safety benefits associated with prefabricated construction, risk of on-site hazards persists, particularly during hoisting and splicing phases. Construction workers appear to still lack full mastery ... -
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 ... -
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 ...