Computer-Aided Civil and Infrastructure Engineering

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Intelligent System for Condition Monitoring of Underground Pipelines
Computer-Aided Civil and Infrastructure Engineering - Tập 19 Số 1 - Trang 42-53 - 2004
Sunil K. Sinha, Mark Knight
Abstract:  Pipeline infrastructure is decaying at an accelerating rate due to reduced funding, insufficient quality control resulting in poor installation, little or no inspection and maintenance, and a general lack of uniformity and improvement in design, construction and operation practices, among other things. Developing an intelligent system can provide fast and ...... hiện toàn bộ
Computer Vision Techniques for Automatic Structural Assessment of Underground Pipes
Computer-Aided Civil and Infrastructure Engineering - Tập 18 Số 2 - Trang 95-112 - 2003
Sunil K. Sinha, Paul Fieguth, Maria Anna Polak
Pipeline surface defects such as cracks cause major problems for asset managers, particularly when the pipe is buried under the ground. The manual inspection of surface defects in the underground pipes has a number of drawbacks, including subjectivity, varying standards, and high costs. An automatic inspection system using image processing and artificial intelligence techniques can overcom...... hiện toàn bộ
Mobile Model-Based Bridge Lifecycle Management System
Computer-Aided Civil and Infrastructure Engineering - Tập 21 Số 7 - Trang 530-547 - 2006
Amin Hammad, Cheng Zhang, Yongxin Hu, Elaheh Mozaffari
Simulation of Accuracy Performance for Wireless Sensor‐Based Construction Asset Tracking
Computer-Aided Civil and Infrastructure Engineering - Tập 24 Số 5 - Trang 335-345 - 2009
Mirosław J. Skibniewski, Won‐Suk Jang
Abstract:  Today's mobile and remote construction applications, such as tracking of materials, equipment, and workers, demand high reliability and scalability of wireless sensor networks for a large‐scale construction site. In particular, identifying the location of distributed mobile entities throughout wireless communications becomes the primary task ...... hiện toàn bộ
Network‐level scheduling of road construction projects considering user and business impacts
Computer-Aided Civil and Infrastructure Engineering - Tập 35 Số 7 - Trang 650-667 - 2020
Mohammad Miralinaghi, Wubeshet Woldemariam, Dulcy M. Abraham, Sikai Chen, Samuel Labi, Zhibin Chen
AbstractConstruction projects are often associated with partial or full road closures, which result in user costs and community disruptions in terms of reduced business productivity. A number of studies have addressed the problem of scheduling construction projects based on a variety of stakeholder objectives. Yet still, there seems to exist a few gaps regarding (1...... hiện toàn bộ
Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types
Computer-Aided Civil and Infrastructure Engineering - Tập 33 Số 9 - Trang 731-747 - 2018
Young‐Jin Cha, Wooram Choi, G. Edward Suh, Sadegh Mahmoudkhani, Oral Büyüköztürk
AbstractComputer vision‐based techniques were developed to overcome the limitations of visual inspection by trained human resources and to detect structural damage in images remotely, but most methods detect only specific types of damage, such as concrete or steel cracks. To provide quasi real‐time simultaneous detection of multiple types of damages, a Faster Regio...... hiện toàn bộ
Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks
Computer-Aided Civil and Infrastructure Engineering - Tập 32 Số 5 - Trang 361-378 - 2017
Young‐Jin Cha, Wooram Choi, Oral Büyüköztürk
AbstractA number of image processing techniques (IPTs) have been implemented for detecting civil infrastructure defects to partially replace human‐conducted onsite inspections. These IPTs are primarily used to manipulate images to extract defect features, such as cracks in concrete and steel surfaces. However, the extensively varying real‐world situations (e.g., li...... hiện toàn bộ
A Polymorphic Dynamic Network Loading Model
Computer-Aided Civil and Infrastructure Engineering - Tập 23 Số 2 - Trang 86-103 - 2008
Yu Nie, Jingtao Ma, Michael Zhang
Abstract:  A polymorphic dynamic network loading (PDNL) model is developed and discretized to integrate a variety of macroscopic traffic flow and node models. The polymorphism, realized through a general node‐link interface and proper discretization, offers several prominent advantages. First of all, PDNL allows road facilities in the same network to be...... hiện toàn bộ
Wavelet Transforms for System Identification in Civil Engineering
Computer-Aided Civil and Infrastructure Engineering - Tập 18 Số 5 - Trang 339-355 - 2003
T. Kijewski, Ahsan Kareem
Abstract:  The time‐frequency character of wavelet transforms allows adaptation of both traditional time and frequency domain system identification approaches to examine nonlinear and non‐stationary data. Although challenges did not surface in prior applications concerned with mechanical systems, which are characterized by higher frequency and broader‐band signals, t...... hiện toàn bộ
Mapping to Cells: A Simple Method to Extract Traffic Dynamics from Probe Vehicle Data
Computer-Aided Civil and Infrastructure Engineering - Tập 32 Số 3 - Trang 252-267 - 2017
Zhengbing He, Liang Zheng, Peng Chen, Wei Guan
AbstractIn the era of big data, mining data instead of collecting data are a new challenge for researchers and engineers. In the field of transportation, extracting traffic dynamics from widely existing probe vehicle data is meaningful both in theory and practice. Therefore, this article proposes a simple mapping‐to‐cells method to construct a spatiotemporal traffi...... hiện toàn bộ
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