Algorithm for generation of stratigraphic profiles using cone penetration test data

Ganju, Eshan; Prezzi, Mônica; Salgado, Rodrigo

doi:10.1016/j.compgeo.2017.04.010

Cited by 21 publications

(4 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The curve diagram is automatically drawn by the software, and one such example is shown in Figure 10 . According to the curve diagram, researchers can infer the comprehensive mechanical properties of the soil layers at different depths underground [ 32 ]. By analyzing the data collected by the new system, we saw that the measurement accuracy was up to 0.02 kPa.…”

Section: Resultsmentioning

confidence: 99%

Theoretical Studies and Implementation on the Temporary Data Storage Method for Cone Penetration Test

Liu

Shen

Wang

et al. 2021

Sensors

View full text Add to dashboard Cite

The traditional cone penetration test system uses cable to transmit data; as the probe goes deeper into the ground, the length of the cable will become longer. This makes the installation of the test equipment more complicated, and excessively long cables cause signal distortion and seriously affect data accuracy. To simplify the experimental equipment and improve the accuracy of data acquisition, a cableless cone penetration test system is proposed. The improved system uses an SD card to store the experimental data, as opposed to using cables for communication which, often lead to the distortion of signals caused by long-distance communication and data loss caused by accidental cable breaks. Therefore, the accuracy of the collected data is higher, and the experimental device is simplified. To evaluate the applicability and efficiency of our design, we have carried out exploration experiments with the sensor system proposed in this paper. The test results show that the experimental data collected by the new system are basically consistent with the data collected by traditional cable CPT equipment, and the accuracy of the collected data is higher. It is more reliable and accurate to analyze the comprehensive mechanical properties of the soil layers with the data collected by the new system.

show abstract

Section: Resultsmentioning

confidence: 99%

Theoretical Studies and Implementation on the Temporary Data Storage Method for Cone Penetration Test

Liu

Shen

Wang

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Soil stratigraphic profiles were generated by employing algorithms that use individual cone penetration test (CPT) sounding as an input. These stratigraphic profiles have been reported to reduce ambiguity in generated profiles [6]. Memory-based learners and machine learning algorithms were determined to perform better than other regression analysis techniques, as reported in [7,8].…”

Section: Introductionmentioning

confidence: 94%

Regional Geotechnical Mapping Employing Kriging on Electronic Geodatabase

Arshid

Kamal

2020

Applied Sciences

View full text Add to dashboard Cite

A regional geotechnical map was developed by employing kriging using spatial and s geostatistical analysis tools. Many studies have been carried out in the field of topography, digital elevation modeling, agriculture, geological, crop, and precipitation mapping. However, no significant contribution to the development of geotechnical mapping has been made. For the appraisal of a geotechnical map, extensive field explorations were carried out throughout the geotechnically diversified plateau spread over an area of approximately 23,000 km2. In total, 450 soil samples were collected from 75 data stations to determine requisite index properties and soil classification for the subsequent allowable bearing capacity evaluation. The formatted test results, along with associated geospatial information, were uploaded to ArcMap, which created an initial input electronic database. The kriging technique of geostatistical analysis was determined to be more feasible for generating a geotechnical map. The developed map represents the distribution of soil in the region as per the engineering classification system, allowable bearing capacity, and American Association of State Highway and Transportation Officials (AASHTO) subgrade rating for 1.5-, 3.0-, and 4.5-m depths. The accuracy of the maps generated using kriging interpolation technique under spatial analyst tools was verified by comparing the values in the generated surface with the actual values measured at randomly selected validation points. The database was primarily created for the appraisal of geotechnical maps and can also be used for preliminary geotechnical investigations, which saves the cost of soil investigations. In addition, this approach allows establishing useful correlations among the geotechnical properties of soil.

show abstract

“…The thin soil layer can be discarded if it is located at the top or bottom of a thick layer of soil. Additionally, thin layers can be merged with other layers by averaging the q c , or by using SBT band or soil group approach proposed by [61]. According to these approaches, the soil profile at the site can mainly be classified into two similar unit layers: clay soil and silty sand with sandy silt.…”

Section: Homogeneous Soil Unitmentioning

confidence: 99%

Spatial Correlation of Cone Tip Resistance for Soil in Nasiriyah

Shakir¹

2018

TOCIEJ

View full text Add to dashboard Cite

Background:Quantification of soil property spatial variations is an important step in any reliability-based design. Little stochastic parameter information about the soil in Nasiriyah, which is in southern Iraq, is available.Methods:In this paper, the Scale Of Fluctuation (SOF) for the site soil is examined, which is suggested for construction of the refinery fuel station project as no random parametric quantity has been studied in this region. A Cone Penetration Test (CPT) was performed as part of the site investigation to a depth of 20 m in the vertical direction, and 24 CPTs were analyzed within the site. The spatial correlation was computed using four methods, including Single Exponent (SNE), Square Exponent (SQE), Cosine Exponent (CSE) and Second-Order Markov (SOM). Identification of the soil type depended on the most recent classification chart, which is based on CPT results. The spatial correlation was evaluated for the vertical direction considering the cone tip resistance (qc) component. Three trend functions were applied to all CPT soundings, including linear, quadratic and cubic polynomials, which were utilized to transform the non-stationary data to stationary data. Three modes of soil were employed, including the eight-meter soil layer, a twelve-meter soil layer and the entire twenty meters of soil, which includes both layers.Results and Discussion:The mean values of SOF were 0.54 m, 0.53 m, and 1.73 m for soil layers 8 m, 12 m, and 20 m, respectively. The high value of the last mean is attributed to the 20 m of stratification in the ground. This study also indicates that the SOF decreases as the polynomial degree increases, which is due to enhanced fitting. The coefficient of variation (COV) for the SOF shows little variability for most of the studied soil cases.

show abstract

Algorithm for generation of stratigraphic profiles using cone penetration test data

Cited by 21 publications

References 43 publications

Theoretical Studies and Implementation on the Temporary Data Storage Method for Cone Penetration Test

Theoretical Studies and Implementation on the Temporary Data Storage Method for Cone Penetration Test

Regional Geotechnical Mapping Employing Kriging on Electronic Geodatabase

Spatial Correlation of Cone Tip Resistance for Soil in Nasiriyah

Contact Info

Product

Resources

About