Journal of Computing in Civil Engineering: Recent submissions
Now showing items 41-60 of 2121
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Learning-Based Picking and Placing Configuration Sampler for Mobile Crane Lift Path Planning
(American Society of Civil Engineers, 2025)Picking and placing configurations (PPCs) are critical for lifting-path planning, but are challenging to determine. The crane location regions (CLRs)-based sampler is an efficient method that can calculate PPCs, but it ... -
Large-Span Spatial Structural Damage Recognition Based on a Transfer-Learning Improved LSTM Network
(American Society of Civil Engineers, 2025)The complexity of addressing long-time series data and data noise and outliers, overcoming the difficulties of cross-domain knowledge migration, and adapting to dynamic environmental factors are significant challenges in ... -
An Improved Random Forest–Based Operation Duration Prediction of Long-Distance Tunnel Construction Considering Geological Uncertainty
(American Society of Civil Engineers, 2025)Long-distance tunnel construction involves a sequence of construction operations that are influenced by various uncertain factors. Accurate operation duration prediction is critical to inform long-distance tunnel construction ... -
Inversion Identification of Cracks for Underground Shield Tunnel Structure Based on HHO-XFEM
(American Society of Civil Engineers, 2025)The crack damage of an underground shield tunnel structure is an important factor affecting its safety status. To evaluate the safety of the underground shield structure, based on the structure response measurement ... -
Integrating Large Language Models with Multimodal Virtual Reality Interfaces to Support Collaborative Human–Robot Construction Work
(American Society of Civil Engineers, 2025)In the construction industry, where work environments are complex, unstructured and often dangerous, the implementation of human–robot collaboration (HRC) is emerging as a promising advancement. This underlines the critical ... -
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. ... -
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 ... -
Genetic Algorithm and Grasshopper Optimization Algorithm with Metaoptimization and RL-Based Parameter Fine-Tuning and Their Comparison for Optimal Thermal Performance Analysis of Buildings in Tropical Climate
(American Society of Civil Engineers, 2025)Energy consumption by heating, ventilation, and air-conditioning systems has driven the need for energy-efficient building designs. This research presents a methodology for optimizing the design features of intermittently ... -
Fusion of Convolution Neural Network and Visual Transformer for Lithology Identification Using Tunnel Face Images
(American Society of Civil Engineers, 2025)This study proposes an intelligent method for recognizing the lithology of a tunnel working face by combining a convolutional neural network and visual transformer. First, an efficient method for collecting high-resolution ... -
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 ... -
Few-Shot Learning Augmented with Image Transformation for Multiclass Structural Damage Classification
(American Society of Civil Engineers, 2025)The application of machine learning (ML) as an apparatus for structural health monitoring (SHM) has become increasingly prevalent recently as the domain moves toward autonomous structural inspections. Although significant ... -
Extraction of Rural Buildings with Different Main Structure Types Based on a Revised U-Net Model
(American Society of Civil Engineers, 2025)As a large agricultural country, China’s timely and accurate extraction of rural buildings from high spatial resolution remote sensing images plays a crucial role in rural revitalization. With the public availability of ... -
Exploring the Efficacy of Artificial Intelligence in Speed Prediction: Explainable Machine-Learning Approach
(American Society of Civil Engineers, 2025)The primary concern regarding road design elements is traffic stream speed, which is considered a good indicator of travel quality. Although a great deal of time and effort is needed to estimate traffic stream speed from ... -
Expert Experience–Embedded Evaluation and Decision-Making Method for Intelligent Design of Shear Wall Structures
(American Society of Civil Engineers, 2025)Rapid progress in intelligent design technology for shear wall structures has significantly advanced the field. However, efficient evaluation and decision-making of various intelligent design outcomes remain challenging, ... -
Estimation of Soil Water Characteristic Curve Using Machine-Learning Algorithms and Its Application in Embankment Response
(American Society of Civil Engineers, 2025)The parameters of the soil water characteristic curve (SWCC) play a pivotal role in the examination of unsaturated soil behavior. This study employs three machine learning models—random forest (RF), extreme gradient boosting ... -
Deep Learning–Based Scan-to-BIM Automation and Object Scope Expansion Using a Low-Cost 3D Scan Data
(American Society of Civil Engineers, 2024)To bridge the gap in as-built Building Information Model (BIM) creation between the architectural, engineering, and construction (AEC) community and the computer vision community, this paper presents an automated Scan-to-BIM ... -
DCNCrack: Pavement Crack Segmentation Based on Large-Scaled Deformable Convolutional Network
(American Society of Civil Engineers, 2025)Fixed convolution kernels, leading to rich local contexts, restrict the adaptive spatial aggregation of a crack detection network. To solve this problem, we introduce a structure design that makes the Transformer-based ... -
Data-Driven Deep-Learning Model for Predicting Jacking Force of Rectangular Pipe Jacking Tunnel
(American Society of Civil Engineers, 2025)The advancement of computer technology has led to the increased utilization of new algorithms, such as machine learning, in various fields including underground engineering. The estimation of jacking force plays a critical ... -
Damage Detection for a Cantilevered Steel I-Beam through Deep-Learning Methods: LSTM, Multivariate Time-Series Transformer, and LSTM-Based Autoencoder
(American Society of Civil Engineers, 2025)The structural integrity of steel trusses and I-beams is of vital importance for preventing the potential collapse of steel bridges when subjected to extraordinary forces. Thus, identifying damage to I-beams, which cannot ... -
Computer Vision-Based Intelligent Monitoring of Disruptions due to Construction Machinery Arrival Delay
(American Society of Civil Engineers, 2025)Construction disruptions often cause schedule delays and budget overruns. Accurate disruption monitoring is crucial for the timely recovery of affected construction projects. This study proposes a computer vision-based ...