Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Automatic generation of progress profiles for eathwork operations using 4D visualisation model

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

2008_29_IT CON.pdf - Published Version
Available under License Creative Commons Attribution.

Download (392kB) | Preview


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
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
View Item View Item