Journal of Computing in Civil Engineering: Recent submissions
Now showing items 461-480 of 2320
-
Development of Semantically Rich 3D Retrofit Models
(ASCE, 11/1/2020 )The use of Building Information Modeling (BIM) has gained considerable interest in new build projects. However, its use in existing assets has been limited to geometric models utilizing point cloud data (PCD) as the primary ... -
Machine Learning for Crack Detection: Review and Model Performance Comparison
(ASCE, 9/1/2020 1)With the advancement of machine learning (ML) and deep learning (DL), there is a great opportunity to enhance the development of automatic crack detection algorithms. In this paper, the authors organize and provide up-to-date ... -
Building Codes Part-of-Speech Tagging Performance Improvement by Error-Driven Transformational Rules
(ASCE, 9/1/2020 1)To enable full automation, automated code compliance checking systems need to extract regulatory information in building codes and convert it to computable representations. This conversion is a natural language processing ... -
Machine Learning of Concrete Temperature Development for Quality Control of Field Curing
(ASCE, 9/1/2020 1)Understanding the relationship between concrete temperature development and field curing time helps to control material quality, improve construction efficiency, and enhance research on concrete design. However, it is ... -
Automated Defect Quantification in Concrete Bridges Using Robotics and Deep Learning
(ASCE, 9/1/2020 1)This work presents a process for automated end-to-end inspection of area defects—specifically spalls and delaminations—in RC bridges. The process uses a mobile robotic platform to collect three-dimensional (3D) spatial ... -
Developing Efficient Mechanisms for BIM-to-AR/VR Data Transfer
(ASCE, 9/1/2020 1)Augmented reality/virtual reality (AR/VR) has been increasingly adopted to enhance the visualization of building information modeling (BIM) models. However, there is a lack of mechanisms for efficient data transfer from ... -
Optimized Restoration Planning of Infrastructure System-of-Systems Using Heterogeneous Network Flow Simulation
(ASCE, 9/1/2020 1)Inter- and intradependencies could lead to cascading failures in infrastructures or inefficient restoration of disrupted infrastructures. To help achieve optimized restoration of inter- and intradependent critical ... -
BIM for Improved Project Communication Networks: Empirical Evidence from Email Logs
(ASCE, 9/1/2020 1)Building information modeling (BIM) has gained significant momentum in the architecture, engineering, construction, and operations (AECO) industry and has shown the potential to transform project organizations and management ... -
Advanced Sound Classifiers and Performance Analyses for Accurate Audio-Based Construction Project Monitoring
(ASCE, 9/1/2020 1)The sounds of work activities and equipment operations at a construction site provide critical information regarding construction progress, task performance, and safety issues. The construction industry, however, has not ... -
Pavement Cracking Detection and Classification Based on 3D Image Using Multiscale Clustering Model
(ASCE, 9/1/2020 1)The use of three-dimensional (3D) pavement distress detection mechanisms has become a trend in pavement surface condition evaluation, including crack classifications and ratings. Inaccurate crack classification could affect ... -
Data-Driven Reverse Engineering Algorithm Development Method for Developing Interoperable Quantity Takeoff Algorithms Using IFC-Based BIM
(ASCE, 9/1/2020 1)One main gap in the automation of construction quantity takeoff (QTO) is the lack of a systematic method to address building information models (BIMs) created from different BIM authoring tools and workflows. Even the ... -
Development of VR/AR Applications for Experimental Tests of Beams, Columns, and Frames
(ASCE, 9/1/2020 1)This paper depicts a set of virtual reality (VR) and augmented reality (AR) applications conceived for the enrichment of laboratory experiences within the field of structural engineering. The experimental program corresponds ... -
Deep Learning–Based Enhancement of Motion Blurred UAV Concrete Crack Images
(ASCE, 9/1/2020 1)Building façade inspection and maintenance needs to be carried out periodically, and the detection of cracks is a core component of the inspection process. The current inspection procedure is labor-intensive and time-consuming ... -
Quantifying Remoteness for Risk and Resilience Assessment Using Nighttime Satellite Imagery
(ASCE, 9/1/2020 1)Remoteness has a crucial role in risk assessments of megaprojects, resilience assessments of communities and infrastructure, and a wide range of public policymaking. The existing measures of remoteness require an extensive ... -
Anomaly Identification of Structural Health Monitoring Data Using Dynamic Independent Component Analysis
(ASCE, 9/1/2020 1)Independent component analysis (ICA) has the potential to identify anomalies in structural health monitoring (SHM) data due to its non-Gaussian data-processing ability. In order to additionally take into account the dynamic ... -
Reliability Analysis of Operational Metro Tunnel Based on a Dynamic Bayesian Copula Model
(ASCE, 5/1/2020 1)This paper develops a hybrid Bayesian copula model for the reliability analysis of an operational metro tunnel in a dependent system in which risk factors interact with each other. The reliability analysis method used in ... -
Mining Social Media Data for Rapid Damage Assessment during Hurricane Matthew: Feasibility Study
(ASCE, 5/1/2020 1)Previous research has employed social media index such as disaster-related ratio (DIRR) or damage-related ratio (DARR) and sentiment to estimate the damages during disasters. These studies mainly used predefined keywords ... -
Optimizing Speedup Performance of Computational Hydrodynamic Simulations with UPC Programming Model
(ASCE, 3/1/2020 1)In this study, we exploit the advantages of Berkeley’s Unified Parallel C (UPC) programming model to optimize the speedup performance of computational hydrodynamic (CHD) simulations, which constitute an important class of ... -
Rebaselining Asset Data for Existing Facilities and Infrastructure
(ASCE, 1/1/2020 1)This paper introduces “rebaselining” as a workflow for collecting reliable and verifiable asset management data for existing facilities and infrastructure. Reporting on two action research case studies with two public ... -
Evaluation of Preference- and Constraint-Sensitive Path Planning for Assisted Navigation in Indoor Building Environments
(ASCE, 1/1/2020 1)Independent mobility in people with physical disabilities notably enhances their quality of life by allowing social inclusion and promoting self-esteem while reducing caregiver burden. Despite significant technological ...