00799045

Component

https://doi.org/10.3141/1709-07

http://scholar.google.com...jjar&publication_year=2000

Geotechnical engineers recognize the variability of the geological materials they work with, including uncertainties associated with subsurface characterization tasks. These uncertainties include data scattering, such as real spatial variation in soil properties, or random testing errors. Systematic errors, as can occur in bias measurement procedures, are also common. In almost all construction projects, penetration tests play a major role in subsoil characterization. Interpretation of test results is mostly empirical, and it is therefore prudent to find a suitable computational method to minimize the error in predicting values at points away from actual test locations. In this research, the capabilities of artificial neural networks (ANNs) are assessed as a computational method for predicting standard penetration test (SPT) results at any point (x, y, z) in a field where a set of SPTs is performed. SPT and moisture content data for five boreholes are used to train and test the developed three-dimensional network models. To graphically visualize the underlying soil strata, select contour maps of blows and moisture content values at various locations are presented. The results obtained indicate the viability and flexibility of ANN methodology as an efficient tool for site characterization tasks.

This paper appears in Transportation Research Record No. 1709, Geotechnical Aspects of Pavements 2000.

English

p. 50-59

2000

Transportation Research Record

0309066883

Figures (6) ; References (13)

Boreholes; Contour maps; Moisture content; Neural networks; Properties of materials; Soil penetration test; Soils; Strata

Site characterization; Soil properties; Three dimensional models

Geotechnology; Highways; Materials; I42: Soil Mechanics

TRIS, TRB, ATRI

Sep 28 2000 12:00AM

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• CONSIDERATIONS FOR PROVIDING SUBSURFACE DRAINAGE IN JOINTED CONCRETE PAVEMENTS
• DEGREE AND EXTENT OF WETTING DUE TO CAPILLARY RISE IN SOILS
• DRAINAGE OF PAVEMENT BASE MATERIAL: DESIGN AND CONSTRUCTION ISSUES
• EFFECTIVENESS ANALYSIS OF SUBSURFACE DRAINAGE FEATURES BASED ON DESIGN ADEQUACY
• FIELD EVALUATION OF GEOCELL USE IN FLEXIBLE PAVEMENTS
• FINITE-ELEMENT ANALYSIS OF FATIGUE LIFETIME IN PAVEMENTS
• FINITE-LAYER APPROACH TO PAVEMENT RESPONSE EVALUATION
• PAVEMENT DISTRESS AND ROADWAY DAMAGE CAUSED BY SUBSURFACE MOISTURE AND FREEZING TEMPERATURES: CASE HISTORIES FROM ALASKA
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• STONE INTERLAYER PAVEMENT DESIGN
• TUBE SUCTION TEST FOR EVALUATING AGGREGATE BASE MATERIALS IN FROST- AND MOISTURE-SUSCEPTIBLE ENVIRONMENTS
• USING A MULTISEGMENT TIME DOMAIN REFLECTOMETRY PROBE TO DETERMINE FROST DEPTH IN PAVEMENT SYSTEMS