contributor author | Xing Su | |
contributor author | Hubo Cai | |
date accessioned | 2017-05-08T22:09:05Z | |
date available | 2017-05-08T22:09:05Z | |
date copyright | January 2016 | |
date issued | 2016 | |
identifier other | 34564741.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/72386 | |
description abstract | Construction four-dimensional (4D) models have emerged to become a powerful tool for effective construction planning and control. However, the emphasis has been visualization and 4D topological analysis capabilities are not well-incorporated in the existing practice. Some 4D models enabled space-time conflict detection or site layout analysis, subtypes of 4D topological analysis; these functions are fragmented and constrained in particular construction scenarios. This paper presents a generic construction 4D topology framework that enables 4D topological analysis to support a wide range of construction planning tasks. The framework includes a 4D topological representation method that formalizes the spatial-temporal relationships between construction activities, a topology categorization method that formats the 4D topological representations into task templates, and a mathematical method to conduct the analysis. The framework is tested in a prototype through a case study, which proves that the framework is able to facilitate many construction planning works such as space-time conflict detection and test for crane’s cover range. | |
publisher | American Society of Civil Engineers | |
title | Enabling Construction 4D Topological Analysis for Effective Construction Planning | |
type | Journal Paper | |
journal volume | 30 | |
journal issue | 1 | |
journal title | Journal of Computing in Civil Engineering | |
identifier doi | 10.1061/(ASCE)CP.1943-5487.0000463 | |
tree | Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 001 | |
contenttype | Fulltext | |