Texas cone penetrometer foundation design method: Qualitative and quantitative assessment
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2018/05/04
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Indian UGC (journal)
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Refrences26
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Citations3
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Rozbeh B. Moghaddam GRL Engineers, Inc., 30725 Aurora Road, Cleveland, OH 44139, USA ORCID (unauthenticated)
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Priyantha W. Jayawickrama TechMRT: Multidisciplinary Research in Transportation, Texas Tech University, Box 41023, Lubbock, TX 79409-1023, USA
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William D. Lawson TechMRT: Multidisciplinary Research in Transportation, Texas Tech University, Box 41023, Lubbock, TX 79409-1023, USA
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James G. Surles Department of Mathematics and Statistics, Texas Tech University, Box 41042, Lubbock, TX 79409-1042, USA
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Hoyoung Seo TechMRT: Multidisciplinary Research in Transportation, Texas Tech University, Box 41023, Lubbock, TX 79409-1023, USA
Cite
Moghaddam, Rozbeh B., et al. “Texas Cone Penetrometer Foundation Design Method: Qualitative and Quantitative Assessment”. DFI Journal The Journal of the Deep Foundations Institute, vol. 12, no. 2, 2018, pp. 69-80, https://doi.org/10.1080/19375247.2018.1536409.
Moghaddam, R. B., Jayawickrama, P. W., Lawson, W. D., Surles, J. G., & Seo, H. (2018). Texas cone penetrometer foundation design method: Qualitative and quantitative assessment. DFI Journal The Journal of the Deep Foundations Institute, 12(2), 69-80. https://doi.org/10.1080/19375247.2018.1536409
Moghaddam, Rozbeh B., Priyantha W. Jayawickrama, William D. Lawson, James G. Surles, and Hoyoung Seo. “Texas Cone Penetrometer Foundation Design Method: Qualitative and Quantitative Assessment”. DFI Journal The Journal of the Deep Foundations Institute 12, no. 2 (2018): 69-80. https://doi.org/10.1080/19375247.2018.1536409.
Moghaddam RB, Jayawickrama PW, Lawson WD, Surles JG, Seo H. Texas cone penetrometer foundation design method: Qualitative and quantitative assessment. DFI Journal The Journal of the Deep Foundations Institute. 2018;12(2):69-80.
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Performance-Based Design of Deep Foundation Systems in Load and Resistance Factor Design Framework | Transportation Research Record: Journal of the Transportation Research Board |
| 7 | 2010 |
| Prediction of End Bearing Capacity for Pre-Bored Steel Pipe Piles Using Instrumented Spt Rods | Journal of the Korean Geotechnical Society | 2 | 2013 | |
| Side-by-Side Correlation of Texas Cone Penetration and Standard Penetration Test Blowcount Values | Geotechnical and Geological Engineering |
| 2 | 2018 |
| 10.1061/(ASCE)1090-0241(2009)135:1(1) | ||||
| Turner, J. 2006. Rock-socketed shafts for highway structure foundations. Report NCHRP Synthesis 360. A Synthesis of Highway Practice. Transportation Research Board: Washington DC |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Applications of Machine Learning to Foundation Design for Transportation Structures | Transportation Research Record: Journal of the Transportation Research Board |
| 2022 | |
| Characterisation of geotechnical model uncertainty | Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards |
| 52 | 2019 |
| The story of statistics in geotechnical engineering | Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards |
| 43 | 2019 |
Citations Analysis
The category
Technology: Engineering (General). Civil engineering (General): Engineering geology. Rock mechanics. Soil mechanics. Underground construction 2
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled The story of statistics in geotechnical engineering and was published in 2019. The most recent citation comes from a 2022 study titled Applications of Machine Learning to Foundation Design for Transportation Structures. This article reached its peak citation in 2019, with 2 citations. It has been cited in 2 different journals. Among related journals, the Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.