Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/124023
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Type: Conference paper
Title: Quantifying the effect of rolling dynamic compaction
Author: Jaksa, M.
Airey, D.
Scott, B.
Kuo, Y.L.
Ranasinghe, R.
Bradley, A.
Chung, O.Y.
Li, Y.
Chen, Y.
Citation: Proceedings of the 4th World Congress on Civil, Structural and Environmental Engineering, 2019, pp.19.1-1-19.1-20
Publisher: International ASET Inc
Publisher Place: Ottawa, Canada
Issue Date: 2019
ISBN: 9781927877524
ISSN: 2371-5294
Conference Name: World Congress on Civil, Structural and Environmental Engineering (CSEE) (7 Apr 2019 - 9 Apr 2019 : Rome, Italy)
Statement of
Responsibility: 
Mark Jaksa, David Airey, Brendan Scott, Yien Lik Kuo, Tharanga Ranasinghe, Andrew Bradley, Oi Yin Chung, Yuxiao Li, Yue Chen
Abstract: Rolling dynamic compaction (RDC) is a ground improvement method that involves towing, typically with the aid of a tractor, a 3-, 4-or 5-sided, non-circular module. Due to the mechanics of its operation, as well as the increased travel speed of 10–12km/h when compared with the 4 km/h speed of conventional vibrating and drum rollers, RDC has demonstrated improved earthworks efficiency and greater effectiveness at depth below the ground surface. Despite the significant benefits derived from RDC, much research is needed to facilitate the development of models to predict the extent of ground improvement, as a function of soil type, ground conditions, travel speed, module type and weight, and the number of passes. This paper presents the results of an extensive research program undertaken to quantify the behaviour of RDC and its consequent effect of the ground. The research involves field studies incorporating in situ measurement, laboratory testing of small-scale physical models involving novel instrumentation, numerical modelling using dynamic finite element analyses, and the implementation of artificial intelligence. Each of these aspects is treated in detail in the paper.
Keywords: Rolling dynamic compaction; physical modelling; finite element analysis; discrete element modelling; sensors
Description: ICGRE Keynote speaker 1
Rights: Copyright status unknown
DOI: 10.11159/icgre19.1
Published version: http://avestia.com/CSEE2019_Proceedings/files/about.html
Appears in Collections:Aurora harvest 8
Civil and Environmental Engineering publications

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