ANN BACKCALCULATION OF PAVEMENT PROFILES FROM THE SASW TEST

The SASW (spectral analysis of surface waves) test is a seismic technique for in situ evaluation of elastic moduli and layer thicknesses for layered systems such as pavements. The objective of the test is to obtain the experimental dispersion curve, and then through an inversion or backcalculation procedure to obtain the classic elastic modulus profile. This paper reports on an artificial neural network (ANN) that was developed to backcalculate accurately in real time pavement profiles from the SASW test collected data. The network was developed using synthetic dispersion curves from a numerical simulation of the SASW test. The most important feature of the developed network is that it consists of several neural network models used in evaluation of the thickness and elastic modulus of each individual layer.

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Corporate Authors:
American Society of Civil Engineers

1801 Alexander Bell Drive
Reston, VA United States 20191-4400
Authors:
- Gucunski, N
- Abdallah, I N
- Nazarian, S
Conference:
- GeoDenver 2000
- Location: Denver Colorado, United States
- Date: 2000-8-5 to 2000-8-8
Publication Date: 2000

Language

English

Media Info

Features: Figures; References; Tables;
Pagination: p. 31-50
Monograph Title: PAVEMENT SUBGRADE, UNBOUND MATERIALS, AND NONDESTRUCTIVE TESTING

Subject/Index Terms

TRT Terms: Artificial aggregates; Backcalculation; Elastic analysis; Layer coefficient (Pavements); Neural networks; Pavement design; Pavement layers; Pavement performance; Seismicity
Candidate Terms: Spectral analysis of surface waves
Subject Areas: Data and Information Technology; Design; Geotechnology; Highways; Pavements; I22: Design of Pavements, Railways and Guideways;

Filing Info

Accession Number: 00799101
Record Type: Publication
ISBN: 9780784405093
Report/Paper Numbers: GSP No. 98
Files: TRIS
Created Date: Sep 3 2000 12:00AM