Evaluation of Site Variability Effect on the Geotechnical Data and Its Application

2020 ◽  
Vol 44 (4) ◽  
pp. 20200040
Author(s):  
Ismaail Ghaaowd ◽  
Abu Hakim Muhammad Hasan Faisal ◽  
Habibur Rahman ◽  
Murad Abu-Farsakh
Keyword(s):  
Geotechnical Data ◽  
Site Variability

Geoenvironmental and Geotechnical Data Exchange: Setting the Standard

2008 ◽  
Author(s):  
Scot D. Weaver ◽  
Thomas E. Lefchik ◽  
Marc I. Hoit ◽  
Kirk Beach
Keyword(s):  
Data Exchange ◽  
Geotechnical Data

INTER- AND INTRA-SITE VARIABILITY OF COSEISMIC SUBSIDENCE ESTIMATES FROM NORTHERN HUMBOLDT BAY, CALIFORNIA

2017 ◽  
Author(s):  
J. Scott Padgett ◽  
◽  
Simon E. Engelhart ◽  
Harvey Kelsey ◽  
Robert C. Witter
Keyword(s):  
Coseismic Subsidence ◽  
Site Variability

scholarly journals Application of Data Integrity Algorithm for Geotechnical Data Quality Management

2018 ◽  
Vol 12 (8) ◽  
pp. 85 ◽  
Author(s):  
Tarik Chafiq ◽  
Mohammed Ouadoud ◽  
Hassane Jarar Oulidi ◽  
Ahmed Fekri
Keyword(s):  
Quality Management ◽  
Data Quality ◽  
Processing Time ◽  
Research Work ◽  
Data Integrity ◽  
Data Quality Management ◽  
Sequential Approach ◽  
Geotechnical Data ◽  
Geotechnical Database ◽  
Manual Verification

The aim of this research work is to ensure the integrity and correction of the geotechnical database which contains anomalies. These anomalies occurred mainly in the phase of inputting and/or transferring of data. The algorithm created in the framework of this paper was tested on a dataset of 70 core drillings. In fact, it is based on a multi-criteria analysis qualifying the geotechnical data integrity using the sequential approach. The implementation of this algorithm has given a relevant set of values in terms of output; which will minimalize processing time and manual verification. The application of the methodology used in this paper could be useful to define the type of foundation adapted to the nature of the subsoil, and thus, foresee the adequate budget.

Correlating Ground-Penetrating Radar Data with Geotechnical Data

2018 ◽  
Author(s):  
Wahyudi W. Parnadi ◽  
Warsa Warsa ◽  
Agus Laesanpura ◽  
Rizandi G. Parnadi ◽  
Hisafumi Asaue
Keyword(s):  
Ground Penetrating Radar ◽  
Radar Data ◽  
Geotechnical Data ◽  
Ground Penetrating

Site-to-site variability in abundance of meiobenthic copepods along a tidal gradient over 24 hours

Hydrobiologia ◽  
1988 ◽  
Vol 167-168 (1) ◽  
pp. 477-483 ◽  
Author(s):  
Bruce C. Coull ◽  
Robert J. Feller
Keyword(s):  
Tidal Gradient ◽  
Site Variability

Seismic reflection and ground‐penetrating radar imaging of a shallow aquifer

Geophysics ◽  
1998 ◽  
Vol 63 (4) ◽  
pp. 1310-1317 ◽  
Author(s):  
Steven J. Cardimona ◽  
William P. Clement ◽  
Katharine Kadinsky‐Cade
Keyword(s):  
Water Table ◽  
Ground Penetrating Radar ◽  
Low Frequency ◽  
Shallow Aquifer ◽  
Cone Penetrometer ◽  
Gradual Change ◽  
Cone Penetration ◽  
Geotechnical Data ◽  
Radar Images ◽  
Ground Penetrating

In 1995 and 1996, researchers associated with the US Air Force’s Phillips and Armstrong Laboratories took part in an extensive geophysical site characterization of the Groundwater Remediation Field Laboratory located at Dover Air Force Base, Dover, Delaware. This field experiment offered an opportunity to compare shallow‐reflection profiling using seismic compressional sources and low‐frequency ground‐penetrating radar to image a shallow, unconfined aquifer. The main target within the aquifer was the sand‐clay interface defining the top of the underlying aquitard at 10 to 14 m depth. Although the water table in a well near the site was 8 m deep, cone penetration geotechnical data taken across the field do not reveal a distinct water table. Instead, cone penetration tests show a gradual change in electrical properties that we interpret as a thick zone of partial saturation. Comparing the seismic and radar data and using the geotechnical data as ground truth, we have associated the deepest coherent event in both reflection data sets with the sand‐clay aquitard boundary. Cone penetrometer data show the presence of a thin lens of clays and silts at about 4 m depth in the north part of the field. This shallow clay is not imaged clearly in the low‐frequency radar profiles. However, the seismic data do image the clay lens. Cone penetrometer data detail a clear change in the soil classification related to the underlying clay aquitard at the same position where the nonintrusive geophysical measurements show a change in image character. Corresponding features in the seismic and radar images are similar along profiles from common survey lines, and results of joint interpretation are consistent with information from geotechnical data across the site.

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