https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22902 Wed 11 Apr 2018 11:55:45 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33538 Thu 15 Nov 2018 14:09:22 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48134 Thu 02 Mar 2023 16:16:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21335 in situ cone penetration test (CPT) data. The first method belongs to the family of more traditional approaches, which are based on best fitting a theoretical correlation model to available CPT data. The second method involves a new strategy which combines information from conditional random fields with the traditional approach. Both methods are applied to a case study involving the estimation of θ at three two-dimensional sections across a site and the results obtained show general agreement between the two methods, suggesting a similar level of accuracy between the new and traditional approaches. However, in order to further assess the relative accuracy of estimates provided by each method, a second numerical analysis is proposed. The results confirm the general consistency observed in the case study calculations, particularly in the vertical direction where a large amount of data are available. Interestingly, for the horizontal direction, where data are typically scarce, some additional improvement in terms of relative error is obtained with the new approach. © 2013 Taylor & Francis.]]> Sat 24 Mar 2018 07:52:50 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21341 Sat 24 Mar 2018 07:52:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33783 Mon 14 Jan 2019 17:41:46 AEDT ]]>