Comparison of Methods for Determining Precompression Stress Based on Computational Simulation

ABSTRACT There are many methods for determining precompression stress (σp), whose value is affected by the slope of the soil compression curve. This study was designed to evaluate the hypothesis that for a certain compression curve all methods used to determine σp present the same value and accuracy...

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Main Authors: Anderson Rodrigo da Silva, Renato Paiva de Lima
Format: Article
Language:English
Published: Sociedade Brasileira de Ciência do Solo 2016-07-01
Series:Revista Brasileira de Ciência do Solo
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832016000100413&lng=en&tlng=en
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spelling doaj-4be36cda3b804943b9208b82fabb281c2021-01-02T03:34:40ZengSociedade Brasileira de Ciência do SoloRevista Brasileira de Ciência do Solo1806-96572016-07-0140010.1590/18069657rbcs20150164S0100-06832016000100413Comparison of Methods for Determining Precompression Stress Based on Computational SimulationAnderson Rodrigo da SilvaRenato Paiva de LimaABSTRACT There are many methods for determining precompression stress (σp), whose value is affected by the slope of the soil compression curve. This study was designed to evaluate the hypothesis that for a certain compression curve all methods used to determine σp present the same value and accuracy. The aim of this study was to compare the accuracy and the relationship among seven of these methods by computational simulation of soil compression curves under nine scenarios. The following methods were used: Casagrande, Pacheco Silva, intersection of the initial void ratio with the virgin compression line (VCLzero), and the regression methods based on 2 (reg1), 3 (reg2), 4 (reg3), and 5 (reg4) points for modeling the elastic curve. Under each scenario, created by combining the swelling and the compression indices, 1,000 compression curves were computationally simulated via the Monte Carlo method. Subsequently, 95 % percentile confidence intervals were built using the 1,000 estimates of σp from each method under each scenario. Most of the differences among the methods were detected under scenarios consisting of high swelling and low compression indices. In general, Casagrande, Pacheco Silva, and reg4 were strongly correlated and presented the highest values of σp, as well as similar variability. The latter two can be considered as alternatives to the standard method of Casagrande, except for Pacheco Silva when the curve has a low compression index (≤0.2) and from medium to high swelling index (≥0.025), for which differences (p<0.05) were detected.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832016000100413&lng=en&tlng=ensoil stresssoil compression curvesoil compaction
collection DOAJ
language English
format Article
sources DOAJ
author Anderson Rodrigo da Silva
Renato Paiva de Lima
spellingShingle Anderson Rodrigo da Silva
Renato Paiva de Lima
Comparison of Methods for Determining Precompression Stress Based on Computational Simulation
Revista Brasileira de Ciência do Solo
soil stress
soil compression curve
soil compaction
author_facet Anderson Rodrigo da Silva
Renato Paiva de Lima
author_sort Anderson Rodrigo da Silva
title Comparison of Methods for Determining Precompression Stress Based on Computational Simulation
title_short Comparison of Methods for Determining Precompression Stress Based on Computational Simulation
title_full Comparison of Methods for Determining Precompression Stress Based on Computational Simulation
title_fullStr Comparison of Methods for Determining Precompression Stress Based on Computational Simulation
title_full_unstemmed Comparison of Methods for Determining Precompression Stress Based on Computational Simulation
title_sort comparison of methods for determining precompression stress based on computational simulation
publisher Sociedade Brasileira de Ciência do Solo
series Revista Brasileira de Ciência do Solo
issn 1806-9657
publishDate 2016-07-01
description ABSTRACT There are many methods for determining precompression stress (σp), whose value is affected by the slope of the soil compression curve. This study was designed to evaluate the hypothesis that for a certain compression curve all methods used to determine σp present the same value and accuracy. The aim of this study was to compare the accuracy and the relationship among seven of these methods by computational simulation of soil compression curves under nine scenarios. The following methods were used: Casagrande, Pacheco Silva, intersection of the initial void ratio with the virgin compression line (VCLzero), and the regression methods based on 2 (reg1), 3 (reg2), 4 (reg3), and 5 (reg4) points for modeling the elastic curve. Under each scenario, created by combining the swelling and the compression indices, 1,000 compression curves were computationally simulated via the Monte Carlo method. Subsequently, 95 % percentile confidence intervals were built using the 1,000 estimates of σp from each method under each scenario. Most of the differences among the methods were detected under scenarios consisting of high swelling and low compression indices. In general, Casagrande, Pacheco Silva, and reg4 were strongly correlated and presented the highest values of σp, as well as similar variability. The latter two can be considered as alternatives to the standard method of Casagrande, except for Pacheco Silva when the curve has a low compression index (≤0.2) and from medium to high swelling index (≥0.025), for which differences (p<0.05) were detected.
topic soil stress
soil compression curve
soil compaction
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832016000100413&lng=en&tlng=en
work_keys_str_mv AT andersonrodrigodasilva comparisonofmethodsfordeterminingprecompressionstressbasedoncomputationalsimulation
AT renatopaivadelima comparisonofmethodsfordeterminingprecompressionstressbasedoncomputationalsimulation
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