Outcomes of the Newcastle symposium for the prediction of embankment behaviour on soft soil

Kelly, Richard; Sloan, Scott W.; Pineda, Jubert; Kouretzis, George; Huang, Jinsong

doi:10.1016/j.compgeo.2017.08.005

Cited by 48 publications

(18 citation statements)

References 30 publications

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“…The work of matching techniques was reported by other authors too [7,27,28]. Kelly et al (2018) and a number of other engineers have reported on the numerical modelling development of a trial embankment built on PVD-improved estuarine soft clay of Ballina, Australia [10,[29][30][31][32][33].…”

Section: Introductionmentioning

confidence: 89%

“…For both Karakore and Ballina, the authors judged a minimum of 0.10 for the CoV of the field measured settlement. For Ballina clay, it was found that the CoV value for the vertical settlement ranged between 0.10-0.29 [21,31,47]. There are several random variables involved in the estimation of settlement analytically or using FE modeling.…”

Section: Measure Of Dispersion Of Datamentioning

confidence: 99%

“…Other methods such as sand compaction piles (SCP), stone columns (SC), horizontal drains (HD), vibro-concrete column (VCC), dynamic consolidation (DC), geotextile encased columns (GEC), and jute drain (JD) are also used widely as ground improvement techniques in many parts of the world for different conditions. However, PVDs associated with surcharge and/or vacuum preloading is the most common, easy construction and economically effective method of ground improvement for railway and highway structures for its fast consolidation process [18][19][20][21]. The PVDs technology were originally band-shaped drains, each drain made of a cardboard core and a paper filter jacket [18].…”

Section: Introductionmentioning

confidence: 99%

“…It is a soft soil Field Test Facility that was established by the Australian Research Council Centre of Excellence for Geotechnical Science and Engineering (CGSE). The background information and field monitoring details are reported by Kelly et al [21]. Site investigation, laboratory tests, and field instrumentation data from the Ballina project can be accessed online at [40] or references and further studies [41].…”

Section: Introductionmentioning

confidence: 99%

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Uncertainty Analysis in Prediction of Settlements for Spatial Prefabricated Vertical Drains Improved Soft Soil Sites

2020

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This paper presents the quantification of uncertainties in the prediction of settlements of embankments built on prefabricated vertical drains (PVDs) improved soft soil deposits based on data collected from two well-documented projects, located in Karakore, Ethiopia, and Ballina, Australia. For this purpose, settlement prediction biases and settlement distributions were statistically computed based on analyses conducted on two Class A and Class C numerical predictions made using PLAXIS 2D finite element modelling. From the results of prediction bias, Class C predictions agreed well with the field measured settlements at both sites. In Class C predictions, the computed settlements were biased to the measured values. For Class A predictions, the calculated settlement values were in the range of mean and mean minus 3SD (standard deviations) for Karakore clay, and they were within mean and mean minus 2SD limit for the Ballina soil. The contributing factors to the settlement uncertainties of the Karakore site may include variability within the soil profile of the alluvial deposit, particularly the presence of interbedded granular layer within the soft layers, and the high embankment fills, and the limited number of samples available for laboratory testing. At the Ballina test embankment site, the uncertainties may have been associated with the presence of transitional layers at the bottom of estuarine clay and sensitivity of soft soil to sample disturbances and limitations in representing all the site conditions.

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Section: Introductionmentioning

confidence: 89%

Section: Measure Of Dispersion Of Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Uncertainty Analysis in Prediction of Settlements for Spatial Prefabricated Vertical Drains Improved Soft Soil Sites

2020

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“…To do so, the geometry of the trial embankment and the trial footing constructed at Ballina site by the ARC Centre of Excellence for Geotechnical Science and Engineering (CGSE) were adopted here (see Figure 19). The embankment, constructed after installing vertical drains (PVDs) for accelerating soil consolidation, and the shallow footing were used in an International Prediction Symposium (CGSE, 2016) whose outcomes have been recently published by Kelly et al (2018) and Doherty et al (2018), respectively. With the aim of emphasizing the effects of sampling disturbance on predicted soil behaviour a few simplifications were made in the predictions presented below.…”

Section: Implications Of Sampling Disturbance In Geotechnical Designmentioning

confidence: 99%

Effects of sampling disturbance in geotechnical design

et al. 2019

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This paper describes an experimental study of the effects of sampling disturbance in an Australian natural soft clay and the consequences of different sample quality on the representativeness of soil parameters used in geotechnical designs. The paper is divided into three sections. Laboratory test results obtained from specimens retrieved using three different tube samplers as well as the Sherbrooke (block) sampler are first described. Then, the sample quality assessment, using available indices proposed for soft soils, is presented. It is shown that sample quality varies with the stress paths and boundary conditions applied in laboratory tests. Finally, mechanical soil properties derived from specimens retrieved using the different samplers are used in the prediction of two classical problems in soil mechanics: the settlement and excess pore pressure response underneath an embankment as well as the settlement and bearing capacity of a shallow footing. These two examples are used here to highlight the consequences of poor sampling in practice.

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Numerical Modeling of Mumbai Marine Clay Improved with Prefabricated Vertical Drain

Sadiq,

Alam

2024

Lecture Notes in Civil Engineering

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Outcomes of the Newcastle symposium for the prediction of embankment behaviour on soft soil

Cited by 48 publications

References 30 publications

Uncertainty Analysis in Prediction of Settlements for Spatial Prefabricated Vertical Drains Improved Soft Soil Sites

Uncertainty Analysis in Prediction of Settlements for Spatial Prefabricated Vertical Drains Improved Soft Soil Sites

Effects of sampling disturbance in geotechnical design

Numerical Modeling of Mumbai Marine Clay Improved with Prefabricated Vertical Drain

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