Comparison Between Two Methods for Estimating the Vertical Scale of Fluctuation for Modeling Random Geotechnical Problems

The design process in geotechnical engineering requires the most accurate mapping of soil. The difficulty lies in the spatial variability of soil parameters, which has been a site of investigation of many researches for many years. This study analyses the soil-modeling problem by suggesting two effe...

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Main Author: Pieczyńska-Kozłowska Joanna M.
Format: Article
Language:English
Published: Sciendo 2015-12-01
Series:Studia Geotechnica et Mechanica
Subjects:
Online Access:http://www.degruyter.com/view/j/sgem.2015.37.issue-4/sgem-2015-0049/sgem-2015-0049.xml?format=INT
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spelling doaj-e08b67fe6a8b40e2a6cc2b38bd64c86e2020-11-25T01:18:23ZengSciendoStudia Geotechnica et Mechanica0137-63652083-831X2015-12-013749510310.1515/sgem-2015-0049sgem-2015-0049Comparison Between Two Methods for Estimating the Vertical Scale of Fluctuation for Modeling Random Geotechnical ProblemsPieczyńska-Kozłowska Joanna M.0Faculty of Civil Engineering, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland.The design process in geotechnical engineering requires the most accurate mapping of soil. The difficulty lies in the spatial variability of soil parameters, which has been a site of investigation of many researches for many years. This study analyses the soil-modeling problem by suggesting two effective methods of acquiring information for modeling that consists of variability from cone penetration test (CPT). The first method has been used in geotechnical engineering, but the second one has not been associated with geotechnics so far. Both methods are applied to a case study in which the parameters of changes are estimated. The knowledge of the variability of parameters allows in a long term more effective estimation, for example, bearing capacity probability of failure.http://www.degruyter.com/view/j/sgem.2015.37.issue-4/sgem-2015-0049/sgem-2015-0049.xml?format=INTscale of fluctuationspatial variability
collection DOAJ
language English
format Article
sources DOAJ
author Pieczyńska-Kozłowska Joanna M.
spellingShingle Pieczyńska-Kozłowska Joanna M.
Comparison Between Two Methods for Estimating the Vertical Scale of Fluctuation for Modeling Random Geotechnical Problems
Studia Geotechnica et Mechanica
scale of fluctuation
spatial variability
author_facet Pieczyńska-Kozłowska Joanna M.
author_sort Pieczyńska-Kozłowska Joanna M.
title Comparison Between Two Methods for Estimating the Vertical Scale of Fluctuation for Modeling Random Geotechnical Problems
title_short Comparison Between Two Methods for Estimating the Vertical Scale of Fluctuation for Modeling Random Geotechnical Problems
title_full Comparison Between Two Methods for Estimating the Vertical Scale of Fluctuation for Modeling Random Geotechnical Problems
title_fullStr Comparison Between Two Methods for Estimating the Vertical Scale of Fluctuation for Modeling Random Geotechnical Problems
title_full_unstemmed Comparison Between Two Methods for Estimating the Vertical Scale of Fluctuation for Modeling Random Geotechnical Problems
title_sort comparison between two methods for estimating the vertical scale of fluctuation for modeling random geotechnical problems
publisher Sciendo
series Studia Geotechnica et Mechanica
issn 0137-6365
2083-831X
publishDate 2015-12-01
description The design process in geotechnical engineering requires the most accurate mapping of soil. The difficulty lies in the spatial variability of soil parameters, which has been a site of investigation of many researches for many years. This study analyses the soil-modeling problem by suggesting two effective methods of acquiring information for modeling that consists of variability from cone penetration test (CPT). The first method has been used in geotechnical engineering, but the second one has not been associated with geotechnics so far. Both methods are applied to a case study in which the parameters of changes are estimated. The knowledge of the variability of parameters allows in a long term more effective estimation, for example, bearing capacity probability of failure.
topic scale of fluctuation
spatial variability
url http://www.degruyter.com/view/j/sgem.2015.37.issue-4/sgem-2015-0049/sgem-2015-0049.xml?format=INT
work_keys_str_mv AT pieczynskakozłowskajoannam comparisonbetweentwomethodsforestimatingtheverticalscaleoffluctuationformodelingrandomgeotechnicalproblems
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