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Quantitative Assessment of Building Constructability Using BIM and 4D Simulation
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作者 Cheng Zhang tarek zayed +1 位作者 Wissam Hijazi Sabah Alkass 《Open Journal of Civil Engineering》 2016年第3期442-461,共20页
Despite the fact that applying constructability concepts in building designs have led to savings estimated within a range of 1% to 14% of the capital cost, the construction industry still lacks an advanced tool to ass... Despite the fact that applying constructability concepts in building designs have led to savings estimated within a range of 1% to 14% of the capital cost, the construction industry still lacks an advanced tool to assess and check for constructability implementations in designs. Therefore, the objective of this research is to propose a quantitative assessment of building constructability, which transforms the subjective assessment of constructability knowledge to a quantified value so that it is easy to analyze and improve building design. The proposed methodology uses the advancement of object oriented Building Information Model (BIM) and 4D simulation model to serve as a data repository models for the constructability assessment platform. Factors affecting constructability of building designs have been identified and relatively weighted using Analytical Hierarchy Process (AHP) technique based on a questionnaire survey collected throughout the Canadian provinces. Evaluation criteria are also developed to assist the designer to evaluate the design proposals. The outcome shows that the proposed method provides the designer an accurate and faster mode in evaluating project constructability by using the parametric features from BIM and taking the advantage of spatial relationship between building components. 展开更多
关键词 CONSTRUCTABILITY BIM SIMULATION Quantitative Assessment
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使用比例数据模型自动检测排污管道闭路电视检查中的异常
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作者 Saeed Moradi tarek zayed +1 位作者 Alaa H. Hawari 钟海晨 《非开挖技术》 2017年第2期129-133,共5页
排污管的管道状况信息通常使用闭路电视检查(CCTV)收集。此外,为了评估管道的状况,数据应当由已认证的操作者处理,造成时间和成本的浪费,并且还会因为操作者的熟练或疲劳程度而易于出错。自动检测异常可以减少检查的时间和成本,... 排污管的管道状况信息通常使用闭路电视检查(CCTV)收集。此外,为了评估管道的状况,数据应当由已认证的操作者处理,造成时间和成本的浪费,并且还会因为操作者的熟练或疲劳程度而易于出错。自动检测异常可以减少检查的时间和成本,同时确保评估的准确性和质量。然而,考虑到排污管道中各种类型以及多种模式的缺陷,使用计算机视觉技术来检测似乎是困难的。本文提出了一种有效的异常检测算法,以支持从CCTV检查视频中获得的数据来自动检测排污管道缺陷。在该模型中,理论地采用了用于比例数据建模的隐马尔可夫模型(HMM),评估了以排污管道闭路电视视频为示例的异常检测中的性能。这种算法包括被认为是正常的建模条件和该模型的监测异常值。 展开更多
关键词 管道检测 排污管道 CCTV 异常
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Review of analytical methods for stress and deformation analysis of buried water pipes considering pipe-soil interaction 被引量:1
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作者 Yingxu Huo Sherif Mohsen Mohamed Hassan Gomaa +1 位作者 tarek zayed Mohamed Meguid 《Underground Space》 SCIE EI CSCD 2023年第6期205-227,共23页
Buried water pipelines are vulnerable to fail or break due to excessive loading or ground displacements.Accurate evaluation of pipe performance and serviceability relies on the proper understanding of pipe-soil intera... Buried water pipelines are vulnerable to fail or break due to excessive loading or ground displacements.Accurate evaluation of pipe performance and serviceability relies on the proper understanding of pipe-soil interactions(PSI).Analytical methods are important approaches to studying PSI.However,a systematic and thorough literature review to analyze the existing research trends,technological achievements and future research opportunities is not available.This work investigates analytical methods that analyze the stress and deformation of pipes in terms of cross-sectional,transverse and longitudinal PSI problems.First,scientometric analysis is performed to acquire relevant research works from online databases and analyze the existing data of influential authors,productive research sources and frequent key word occurrence in the fields of interest.Second,a qualitative discussion is performed in the three categories of PSI:(1)cross-sectional,including ovalization and circumferential behaviours;(2)transverse,including seismic fault crossing,weak soil zones,ground settlement and pipe uplift;and(3)longitudinal.Third,six research opportunities are discussed,including the role of friction in cross-sectional deformation,combined effects of bending and compression,choice of soil reaction models and calibration of key parameters,effect of pipe flaws,soil spatial variability and behaviours of curved pipes.This study helps beginners familiarize themselves with PSI analytical methods and provides experienced researchers with ideas for future research directions. 展开更多
关键词 PIPELINE Analytical methods Pipe-soil interactions Seismic fault SETTLEMENT UPLIFT BUCKLING TUNNELLING
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Enhancing sustainable urban mobility: Computer vision applications in pedestrian path studies
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作者 Abdul-Mugis Yussif Ridwan Taiwo +2 位作者 tarek zayed Saeed Reza Mohandes Sulemana Fatoama Abdulai 《Journal of Traffic and Transportation Engineering(English Edition)》 2025年第5期1415-1451,共37页
Smart cities and decarbonization of the transportation sector provoked significant environmental policy reforms,shifting the urban environment away from car-centric planning to non-mechanized transportation.Thus,walki... Smart cities and decarbonization of the transportation sector provoked significant environmental policy reforms,shifting the urban environment away from car-centric planning to non-mechanized transportation.Thus,walking and cycling became natural alternatives due to their zero-carbon operation and health benefits.Computer vision(CV)techniques offer promising capabilities for analyzing and improving pedestrian sidewalk infrastructure and usage.Despite the current efforts,the literature lacks a comprehensive synthesis of studies applying CV to sidewalks,casting a shadow on the utilization of further artificial-based algorithms in this domain.Hence,this study provides a state-of-the-art analysis of CV applications on sidewalks by presenting 1)a scientometric analysis of existing studies,2)systematic discussions of CV applications and architectures,3)proposal of a framework for applying CV in sidewalk studies,and 4)existing gaps and future research opportunities.The publication trend analysis indicated accelerated growth in sidewalk-focused CV research since 2018,with peaks in the last five years,indicating rising scholarly interest.The keyword analysis revealed seven clusters,where"pavements","computer vision",and"deep learning"are the top keywords based on their degree centrality.The systematic analysis identified and discussed CV applications to sidewalk accessibility,path conditions,and user behaviors,showing that convolutional neural networks are the most adopted architecture in this domain.This study offers academics and industry professionals essential perspectives into the developing research area of leveraging CV for analyzing diverse facets of sidewalks.It highlights the imperative to tackle identified research gaps via innovative techniques and collaborative efforts,in addition to openly sharing datasets and source code. 展开更多
关键词 Automated sidewalk monitoring Computer vision Pedestrian infrastructure Sidewalk pavement Sustainable transportation Walkability
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