LIQUEFACTION ANALYSIS: CPT VERSUS SPT RESULTS AT JFK AIRPORT

2008 ◽  
Vol 02 (01) ◽  
pp. 19-31
Author(s):  
ALY M. MOHAMMAD ◽  
ANTHONY CRINCOLI ◽  
KAREN C. ARMFIELD
Keyword(s):  
New York ◽  
Cost Effective ◽  
Design Solution ◽  
Cone Penetration ◽  
Foundation Design ◽  
Penetration Testing ◽  
Cone Penetration Testing ◽  
Key Factor ◽  
Main Portion ◽  
Standard Penetration Testing

The design and construction of the new JetBlue 26-gate Terminal Facility at JFK Airport in New York City, USA was a complex and interesting endeavor for the Geotechnical Engineers at DMJM Harris. Once operational, the 635,000 sq. ft. facility will operate up to 250 daily flights; an estimated 20 million passengers a year. The new Jet Blue Terminal 5 incorporates the historical TWA Terminal, designed by Eero Saarinen in 1962. The main portion of this structure is being refurbished and incorporated into the new terminal. There were many challenging features to the design of this Project; including marrying the existing historical structure to the new terminal, preventing cross contamination in the aquifers below the site and achieving a design which will perform under seismic conditions. The challenge of the evaluation of the soil under seismic conditions is discussed herein. Liquefaction under seismic conditions at JFK Airport can be a key factor to foundation design and selection. Our investigation of the site incorporated the use of both Standard Penetration Testing (SPT) and Cone Penetration Testing (CPT) to closely identify the areas subject to liquefaction risk. A correlation between the results of both the analyses was established. This enabled us to determine the thickness of liquefiable zone and develop a cost effective design solution that will perform successfully should a seismic hazard occur in the future. The methodology utilized and the correlation observed will be presented in the paper.

scholarly journals Predicting land deformation by integrating InSAR data and cone penetration testing through machine learning techniques

2020 ◽  
Vol 382 ◽  
pp. 525-529
Author(s):  
Melika Sajadian ◽  
Ana Teixeira ◽  
Faraz S. Tehrani ◽  
Mathias Lemmens
Keyword(s):  
Machine Learning ◽  
Soil Mechanics ◽  
Machine Learning Techniques ◽  
Cone Penetration ◽  
Penetration Testing ◽  
Cone Penetration Testing ◽  
Learning Techniques ◽  
Land Deformation ◽  
Spatio Temporal

Abstract. Built environments developed on compressible soils are susceptible to land deformation. The spatio-temporal monitoring and analysis of these deformations are necessary for sustainable development of cities. Techniques such as Interferometric Synthetic Aperture Radar (InSAR) or predictions based on soil mechanics using in situ characterization, such as Cone Penetration Testing (CPT) can be used for assessing such land deformations. Despite the combined advantages of these two methods, the relationship between them has not yet been investigated. Therefore, the major objective of this study is to reconcile InSAR measurements and CPT measurements using machine learning techniques in an attempt to better predict land deformation.

Development of Soil Restraints for Buried Pipelines in Muskeg Soils Subjected to Lateral Ground Displacements

2020 ◽  
Author(s):  
Dharma Wijewickreme ◽  
Thushara Jayasinghe
Keyword(s):  
Constitutive Model ◽  
Numerical Models ◽  
Field Testing ◽  
Soil Mass ◽  
Systematic Research ◽  
Cone Penetration ◽  
Buried Pipelines ◽  
Penetration Testing ◽  
Cone Penetration Testing ◽  
Soil Pipe

Abstract A systematic research program was undertaken with the objective of developing quantitative geotechnical parameters to support soil-pipe interaction assessment for buried pipelines in muskeg. For this purpose, a field geotechnical investigation program comprising cone penetration testing (SCPT) with shear wave velocity (Vs) measurements, electronic field vane shear testing (eVST), full-flow ball penetration testing (BPT), and pressuremeter testing (PMT), along with fixed-piston tube soil sampling was undertaken in a muskeg soil terrain. The data from field testing were initially interpreted to obtain typical stiffness and strength parameters for the subject soils. These parameters were then used to numerically simulate pressuremeter tests and the results were compared with those obtained from field pressuremeter testing; the intent was to calibrate a suitable constitutive model to represent the muskeg soil mass. These ascalibrated constitutive model was then applied on numerical models developed to simulate buried pipelines in muskeg soil subject to relative lateral ground movements. The work is aimed at developing a framework to generate soil restraint versus relative ground displacement relations (“soil springs”) to assess soil-pipe interaction of pipelines buried in muskeg soils. Initial results from the research are presented herein, with a comparison made between soil springs developed from numerical analyses and those generated from current practice guidelines.

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