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In-situ Penetration as Alternative to Extensive Boreholes and Lab Testing for Exploration in Sandy Soils
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Soil and Rock Mechanics.
2015 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2015. , x, 29 p.
Series
TRITA-JOB. LIC, ISSN 1650-951X ; 2026
National Category
Geotechnical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-161217OAI: oai:DiVA.org:kth-161217DiVA: diva2:794065
Presentation
2015-03-11, Projekthallen, Brinellvägen 23, Stockholm, 13:00 (English)
Opponent
Supervisors
Funder
Sida - Swedish International Development Cooperation Agency
Note

QC 20150311

Available from: 2015-03-11 Created: 2015-03-10 Last updated: 2015-03-11Bibliographically approved
List of papers
1. Correlations of SPT, CPT and DPL data for sandy soil in Tanzania
Open this publication in new window or tab >>Correlations of SPT, CPT and DPL data for sandy soil in Tanzania
2015 (English)In: Geotechnical and Geological Engineering, ISSN 0960-3182, E-ISSN 1573-1529, Vol. 33, no 5, 1221-1233 p.Article in journal (Refereed) Published
Abstract [en]

In Tanzania, standard penetration test (SPT) is the most commonly used in situ test for foundation design site investigations. In an effort to increase the amount of geotechnical information at low cost, the quicker and much cheaper dynamic probing of light (DPL) hammer is sometimes performed along with SPT to supplement the expensive SPT. Nevertheless, the information gathered with DPL has been applicable only for site stratification. Recently, the static cone penetration test (CPT) has also been introduced in the country with a view to combining these methods in site investigations. In this study, side by side testing was performed with the three in situ methods and correlations established through regression analysis and arithmetic mean methods. Results indicate that DPL data correlate better with CPT than SPT data, with lower magnitudes of transformation uncertainty. The local SPT–CPT correlations compare fairly well to those in the literature. The established correlations extend the function of DPL data to analysis and design.

Keyword
SPT, CPT, DPL, Correlation, In situ tests
National Category
Geotechnical Engineering
Identifiers
urn:nbn:se:kth:diva-161272 (URN)10.1007/s10706-015-9897-1 (DOI)000361522200006 ()2-s2.0-84942193142 (Scopus ID)
Note

QC 20160212

Available from: 2015-03-11 Created: 2015-03-11 Last updated: 2017-12-04Bibliographically approved
2. Inherent soil variability linked to different characterization methods
Open this publication in new window or tab >>Inherent soil variability linked to different characterization methods
2014 (English)Conference paper, Published paper (Other academic)
National Category
Geotechnical Engineering
Identifiers
urn:nbn:se:kth:diva-161338 (URN)
Conference
Sida Annual Regional Conference, RegConf 2014(050) in July 2014
Note

NQC 2015

Available from: 2015-03-11 Created: 2015-03-11 Last updated: 2015-03-11Bibliographically approved
3. Comparison of geotechnical uncertainties linked to different soil characterization methods
Open this publication in new window or tab >>Comparison of geotechnical uncertainties linked to different soil characterization methods
2016 (English)In: Geomechanics and Geoengineering, ISSN 1748-6025, E-ISSN 1748-6033, 1-15 p.Article in journal (Refereed) Epub ahead of print
Abstract [en]

One of the essential inputs in settlement prediction models is the soil modulus, which may be obtained from laboratory tests or estimated from in situ measurements. The total uncertainty in predicting the confined modulus of a sandy soil is quantified with data from side-by-side in situ testing using the standard penetration test, the static cone penetration test, the light dynamic probing and the laboratory oedometer test. To estimate transformation errors, correlations are proposed between in situ and laboratory data. The results indicate that similar magnitudes of total uncertainties are associated with the in situ methods, which are approximately twice as high as those from the direct oedometer method. The quantified uncertainties are an important input for reliability-based designs of foundations under similar soil conditions.

Place, publisher, year, edition, pages
Taylor & Francis, 2016
National Category
Geotechnical Engineering
Identifiers
urn:nbn:se:kth:diva-161340 (URN)10.1080/17486025.2016.1184761 (DOI)2-s2.0-84969753258 (Scopus ID)
Note

QC 20160608

Available from: 2015-03-11 Created: 2015-03-11 Last updated: 2017-12-04Bibliographically approved

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Licentiate Thesis(884 kB)439 downloads
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Citation style
  • apa
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