Shah, RK, Dawood, N and Castro, S (2008) Automatic generation of progress profiles for eathwork operations using 4D visualisation model. Electronic Journal of Information Technology in Construction, 13. pp. 491-456. ISSN 1874-4753
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Abstract
Despite of the advances in construction planning and scheduling software, construction managers and planners are still facing problems in achieving accurate planning, scheduling and costing due to the one-off nature of the construction projects and the inherently uncertain site conditions and soil characteristics. The aim of the research presented in this paper is to introduce a new methodology for integration of ‘variable producti¬vity’ data with a visualisation model of earthwork operations. To achieve this aim, a number of objectives have been set: identification of current industrial practices and confirming the needs and aspirations of the industry, designing of a methodology and a model to integrated variable productivity with visualisation, and performing a case study to demonstrate and verify the model. The paper presents a prototype of a 4D visualisation model which is designed by integrating the road design data, quantities of cut and fill, productivity model, algorithms for modelling terrain surfaces and a progress profile visualiser. The model generates automatically terrain sur¬faces of progress profiles for earthwork operations and visualises progress profiles throughout the construction operations under different site and soil conditions. It is demonstrated with a real life case study in a road pro¬ject. The paper concludes that the model should be able to assist in producing efficient construction scheduling and resource planning, thereby reducing production cost and improving on-site productivity.
Item Type: | Article |
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Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > TH Building construction |
Divisions: | Civil Engineering & Built Environment |
Publisher: | International Council for Research and Innovation in Building and Construction |
Date Deposited: | 18 Jan 2016 13:48 |
Last Modified: | 04 Sep 2021 13:37 |
URI: | https://researchonline.ljmu.ac.uk/id/eprint/2659 |
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