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Full-Text Articles in Engineering
Evaluation Of Synthetic Cpt And Soil Boring Data By Various Spatial Interpolation Techniques, Md Habibur Rahman
Evaluation Of Synthetic Cpt And Soil Boring Data By Various Spatial Interpolation Techniques, Md Habibur Rahman
LSU Master's Theses
In order to incorporate the influence of collected in-situ data, the spatial correlation between the data and the foundation needs to be explored. However, risk and uncertainty are the characteristics of the soil that cannot be eliminated. Statistical information of the soil property can be estimated from available field data obtained from testing at discrete locations across the site. In this research, several well-established spatial interpolation methods like ordinary kriging (OK), simple kriging (SK), inverse distance weight (IDW), spline, natural neighbor (NaN) and universal kriging (UK) were incorporated to evaluate the best method. Six CPT (Cone penetration test) (Tip Resistance …
Evaluation Of Undrained Shear Strength And Soil Classification From Cone Penetration Test, Md Imran Hossain
Evaluation Of Undrained Shear Strength And Soil Classification From Cone Penetration Test, Md Imran Hossain
LSU Master's Theses
The in-situ cone and piezocone penetration tests (CPT, PCPT) has been widely used by the geotechnical engineering community for subsurface soil characterization and classification, and for the evaluation of many engineering soil properties, such as undrained shear strength (su), unit weight (γ), constrained modulus (M), coefficient of consolidation (cv), and stress history (OCR). The objective of this research study was to estimate the undrained shear strength of clayey soil using CPT/PCPT data in addition to some soil boring log data. At the same time, soil classification charts/methods based …
Evaluation Of Site Variability And Its Application In Design, Abu Hakim Muhammad Hasan Faisal
Evaluation Of Site Variability And Its Application In Design, Abu Hakim Muhammad Hasan Faisal
LSU Master's Theses
Geotechnical characterization has an important role in engineering geology as well as in implementation of any project. There are several variables and uncertainties involved in characterizing a project site. Four different sources of uncertainties represent the characterization of geotechnical variability, which include spatial variability, measurement error, statistical error and model bias. Spatial variability is expressed in terms of the mean, variance, and scale of fluctuation. Several statistical techniques such as the Gauge R & R, which includes X-Bar/R and ANOVA, and the Second Moment can be applied to compute site variability in terms of the coefficient of variations. Measurement error …