Prediction of void ratio and shear wave velocity for soil in quaternary alluvium using cone penetration tests
Several correlations are available to determine the shear wave velocity using cone penetration test ( CPT ) data. Available correlations are applied for the studied region, which shows the requirement for developing a new correlation for the study area. This study uses CPT , standard penetration tes...
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description | Several correlations are available to determine the shear wave velocity using cone penetration test (
CPT
) data. Available correlations are applied for the studied region, which shows the requirement for developing a new correlation for the study area. This study uses
CPT
, standard penetration test (
SPT
), and multichannel analysis of surface wave (
MASW
) data to formulate correlations for predicting void ratio (
e
) and shear wave velocity (
V
S
). The estimated void ratio at various depths was taken from the
SPT
bore log available for the site. A regression model has been formulated for predicting
e
from normalized cone tip resistance (
Q
tn
). In developing the shear wave velocity prediction model, two types of cone data are used: mechanical and electrical. In the prediction model of
V
S
, various parameters, such as cone tip resistance (
q
c
), soil behavior type index (
I
C
), effective stress (
σ
0
′
),
e
, and depth (
z
), are considered. The correlation regarding shear wave velocity gives a good prediction with both
CPT
cones. A cone factor (
K
C
) is introduced in the developed correlation for predicting ‘
e’
. The proposed correlations allow design soil parameters to be easily obtained from cone penetration test data. |
doi_str_mv | 10.1007/s10064-024-03587-z |
format | Article |
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CPT
) data. Available correlations are applied for the studied region, which shows the requirement for developing a new correlation for the study area. This study uses
CPT
, standard penetration test (
SPT
), and multichannel analysis of surface wave (
MASW
) data to formulate correlations for predicting void ratio (
e
) and shear wave velocity (
V
S
). The estimated void ratio at various depths was taken from the
SPT
bore log available for the site. A regression model has been formulated for predicting
e
from normalized cone tip resistance (
Q
tn
). In developing the shear wave velocity prediction model, two types of cone data are used: mechanical and electrical. In the prediction model of
V
S
, various parameters, such as cone tip resistance (
q
c
), soil behavior type index (
I
C
), effective stress (
σ
0
′
),
e
, and depth (
z
), are considered. The correlation regarding shear wave velocity gives a good prediction with both
CPT
cones. A cone factor (
K
C
) is introduced in the developed correlation for predicting ‘
e’
. The proposed correlations allow design soil parameters to be easily obtained from cone penetration test data.</description><identifier>ISSN: 1435-9529</identifier><identifier>EISSN: 1435-9537</identifier><identifier>DOI: 10.1007/s10064-024-03587-z</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Age ; Alluvial deposits ; Alluvium ; Cone penetration tests ; Correlation ; Design parameters ; Earth and Environmental Science ; Earth Sciences ; Effective stress ; Fault lines ; Foundations ; Geoecology/Natural Processes ; Geoengineering ; Geotechnical Engineering & Applied Earth Sciences ; Hydraulics ; Nature Conservation ; Original Paper ; Parameters ; Particle size ; Prediction models ; Regression models ; Rivers ; Sand & gravel ; Shear ; Shear strength ; Shear wave velocities ; Soil ; Soil resistance ; Soil types ; Soils ; Stratigraphy ; Surface water waves ; Surface waves ; Velocity ; Void ratio ; Wave velocity</subject><ispartof>Bulletin of engineering geology and the environment, 2024-03, Vol.83 (3), p.88, Article 88</ispartof><rights>The Author(s) 2024</rights><rights>The Author(s) 2024.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c347t-a4501c312c7a9309013b8604d43b6ad7f533efa538b080b28dbe42124f07a5633</citedby><cites>FETCH-LOGICAL-c347t-a4501c312c7a9309013b8604d43b6ad7f533efa538b080b28dbe42124f07a5633</cites><orcidid>0000-0003-0370-4276 ; 0000-0002-8852-2596</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10064-024-03587-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10064-024-03587-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Mishra, Priyam</creatorcontrib><creatorcontrib>Chakrabortty, Pradipta</creatorcontrib><title>Prediction of void ratio and shear wave velocity for soil in quaternary alluvium using cone penetration tests</title><title>Bulletin of engineering geology and the environment</title><addtitle>Bull Eng Geol Environ</addtitle><description>Several correlations are available to determine the shear wave velocity using cone penetration test (
CPT
) data. Available correlations are applied for the studied region, which shows the requirement for developing a new correlation for the study area. This study uses
CPT
, standard penetration test (
SPT
), and multichannel analysis of surface wave (
MASW
) data to formulate correlations for predicting void ratio (
e
) and shear wave velocity (
V
S
). The estimated void ratio at various depths was taken from the
SPT
bore log available for the site. A regression model has been formulated for predicting
e
from normalized cone tip resistance (
Q
tn
). In developing the shear wave velocity prediction model, two types of cone data are used: mechanical and electrical. In the prediction model of
V
S
, various parameters, such as cone tip resistance (
q
c
), soil behavior type index (
I
C
), effective stress (
σ
0
′
),
e
, and depth (
z
), are considered. The correlation regarding shear wave velocity gives a good prediction with both
CPT
cones. A cone factor (
K
C
) is introduced in the developed correlation for predicting ‘
e’
. The proposed correlations allow design soil parameters to be easily obtained from cone penetration test data.</description><subject>Age</subject><subject>Alluvial deposits</subject><subject>Alluvium</subject><subject>Cone penetration tests</subject><subject>Correlation</subject><subject>Design parameters</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Effective stress</subject><subject>Fault lines</subject><subject>Foundations</subject><subject>Geoecology/Natural Processes</subject><subject>Geoengineering</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Hydraulics</subject><subject>Nature Conservation</subject><subject>Original Paper</subject><subject>Parameters</subject><subject>Particle size</subject><subject>Prediction models</subject><subject>Regression models</subject><subject>Rivers</subject><subject>Sand & gravel</subject><subject>Shear</subject><subject>Shear strength</subject><subject>Shear wave velocities</subject><subject>Soil</subject><subject>Soil resistance</subject><subject>Soil types</subject><subject>Soils</subject><subject>Stratigraphy</subject><subject>Surface water waves</subject><subject>Surface waves</subject><subject>Velocity</subject><subject>Void ratio</subject><subject>Wave velocity</subject><issn>1435-9529</issn><issn>1435-9537</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqFUMtOwzAQtBBIlMIPcLLEOWB77To5ooqXVAkOcLacxCmuUru1k6D26zENghsc9iXNzO4OQpeUXFNC5E1MecYzwlKAyGW2P0ITykFkhQB5_NOz4hSdxbgihIqc0QlavwRT26qz3mHf4MHbGgedRqxdjeO70QF_6MHgwbS-st0ONz7g6G2LrcPbXncmOB12WLdtP9h-jfto3RJX3hm8Mc50BzWHOxO7eI5OGt1Gc_Fdp-jt_u51_pgtnh-e5reLrAIuu0xzQWgFlFVSF0AKQqHMZ4TXHMqZrmUjAEyjBeQlyUnJ8ro0nFHGGyK1mAFM0dWouwl-26fNauX7dGcbFSsACACj4h8UkySXTCYUG1FV8DEG06hNsOv0sqJEfZmvRvNVMl8dzFf7RIKRFBPYLU34lf6D9QkQ-IgE</recordid><startdate>20240301</startdate><enddate>20240301</enddate><creator>Mishra, Priyam</creator><creator>Chakrabortty, Pradipta</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0003-0370-4276</orcidid><orcidid>https://orcid.org/0000-0002-8852-2596</orcidid></search><sort><creationdate>20240301</creationdate><title>Prediction of void ratio and shear wave velocity for soil in quaternary alluvium using cone penetration tests</title><author>Mishra, Priyam ; Chakrabortty, Pradipta</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c347t-a4501c312c7a9309013b8604d43b6ad7f533efa538b080b28dbe42124f07a5633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Age</topic><topic>Alluvial deposits</topic><topic>Alluvium</topic><topic>Cone penetration tests</topic><topic>Correlation</topic><topic>Design parameters</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Effective stress</topic><topic>Fault lines</topic><topic>Foundations</topic><topic>Geoecology/Natural Processes</topic><topic>Geoengineering</topic><topic>Geotechnical Engineering & Applied Earth Sciences</topic><topic>Hydraulics</topic><topic>Nature Conservation</topic><topic>Original Paper</topic><topic>Parameters</topic><topic>Particle size</topic><topic>Prediction models</topic><topic>Regression models</topic><topic>Rivers</topic><topic>Sand & gravel</topic><topic>Shear</topic><topic>Shear strength</topic><topic>Shear wave velocities</topic><topic>Soil</topic><topic>Soil resistance</topic><topic>Soil types</topic><topic>Soils</topic><topic>Stratigraphy</topic><topic>Surface water waves</topic><topic>Surface waves</topic><topic>Velocity</topic><topic>Void ratio</topic><topic>Wave velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mishra, Priyam</creatorcontrib><creatorcontrib>Chakrabortty, Pradipta</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><jtitle>Bulletin of engineering geology and the environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mishra, Priyam</au><au>Chakrabortty, Pradipta</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of void ratio and shear wave velocity for soil in quaternary alluvium using cone penetration tests</atitle><jtitle>Bulletin of engineering geology and the environment</jtitle><stitle>Bull Eng Geol Environ</stitle><date>2024-03-01</date><risdate>2024</risdate><volume>83</volume><issue>3</issue><spage>88</spage><pages>88-</pages><artnum>88</artnum><issn>1435-9529</issn><eissn>1435-9537</eissn><abstract>Several correlations are available to determine the shear wave velocity using cone penetration test (
CPT
) data. Available correlations are applied for the studied region, which shows the requirement for developing a new correlation for the study area. This study uses
CPT
, standard penetration test (
SPT
), and multichannel analysis of surface wave (
MASW
) data to formulate correlations for predicting void ratio (
e
) and shear wave velocity (
V
S
). The estimated void ratio at various depths was taken from the
SPT
bore log available for the site. A regression model has been formulated for predicting
e
from normalized cone tip resistance (
Q
tn
). In developing the shear wave velocity prediction model, two types of cone data are used: mechanical and electrical. In the prediction model of
V
S
, various parameters, such as cone tip resistance (
q
c
), soil behavior type index (
I
C
), effective stress (
σ
0
′
),
e
, and depth (
z
), are considered. The correlation regarding shear wave velocity gives a good prediction with both
CPT
cones. A cone factor (
K
C
) is introduced in the developed correlation for predicting ‘
e’
. The proposed correlations allow design soil parameters to be easily obtained from cone penetration test data.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s10064-024-03587-z</doi><orcidid>https://orcid.org/0000-0003-0370-4276</orcidid><orcidid>https://orcid.org/0000-0002-8852-2596</orcidid></addata></record> |
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subjects | Age Alluvial deposits Alluvium Cone penetration tests Correlation Design parameters Earth and Environmental Science Earth Sciences Effective stress Fault lines Foundations Geoecology/Natural Processes Geoengineering Geotechnical Engineering & Applied Earth Sciences Hydraulics Nature Conservation Original Paper Parameters Particle size Prediction models Regression models Rivers Sand & gravel Shear Shear strength Shear wave velocities Soil Soil resistance Soil types Soils Stratigraphy Surface water waves Surface waves Velocity Void ratio Wave velocity |
title | Prediction of void ratio and shear wave velocity for soil in quaternary alluvium using cone penetration tests |
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