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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Sociedade Brasileira de Ciência do Solo
2016-07-01
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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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