A novel web based application for storing, managing and sharing geotechnical data, illustrated using the national soft soil field testing facility in Ballina, Australia

Doherty, James; Gourvenec, Susan; Gaone, F.M.; Pineda, Jubert; Kelly, Richard; O’Loughlin, Conleth; Cassidy, Mark; Sloan, Scott W.

doi:10.1016/j.compgeo.2017.05.007

Cited by 22 publications

(12 citation statements)

References 7 publications

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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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Section: Implications Of Sampling Disturbance In Geotechnical Designmentioning

confidence: 99%

Effects of sampling disturbance in geotechnical design

et al. 2019

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“…A range of in situ tests including cone penetration tests (Kelly et al (2016), Li et al (2014) and Li et al (2016)), ball and T-bar penetrometer tests (Colreavy et al 2016) and self-boring pressuremeter tests (Gaone et al (2016), (2017a))) have also been conducted. A web based application (see Figure 3) was developed to store, manage and publically share all data (Doherty et al 2017). Participants in the foundation prediction exercise were able to access the data by registering as a user at www.geocalcs.com/datamap, and then using the project registration details given in Table 1.…”

Section: Geotechnical Datamentioning

confidence: 99%

Insights from a shallow foundation load-settlement prediction exercise

Doherty

Gourvenec

Gaone

2018

Computers and Geotechnics

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This paper describes an international exercise aimed at assessing the geotechnical engineering profession's ability to predict the response of shallow foundations on soft clay subjected to undrained loading. Predictions of bearing capacity varied by more than an order of magnitude and settlement by more than two orders of magnitude. Average and median predicted values deviated significantly from measured values. The results of this exercise highlight the need to develop tools to assist engineers to process site investigation data. The development of predictive models that connect directly to site investigation data is discussed.

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“…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%

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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A novel web based application for storing, managing and sharing geotechnical data, illustrated using the national soft soil field testing facility in Ballina, Australia

Cited by 22 publications

References 7 publications

Effects of sampling disturbance in geotechnical design

Effects of sampling disturbance in geotechnical design

Insights from a shallow foundation load-settlement prediction exercise

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

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