A Microcomputer Based Procedure for Backcalculating Layer Moduli from FWD Data

Uzan, J.; Scullion, T.; Michalak, C. H.; Parades, M.; Lytton, R. L.

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A Microcomputer Based Procedure for Backcalculating Layer Moduli from FWD Data

1988-09-01
By Uzan, J. ; Scullion, T. ; Michalak, C. H.

File Language:

English

Details

Creators:

Uzan, J. ; Scullion, T. ; Michalak, C. H. ; Parades, M. ; Lytton, R. L.
Corporate Creators:

Texas Transportation Institute. Texas A&M University
Corporate Contributors:

Texas State Department of Highways and Public Transportation ; United States. Department of Transportation. Federal Highway Administration
Subject/TRT Terms:
Publication/ Report Number:

FHWA/TX-88/1123-1
Resource Type:

Tech Report
Geographical Coverage:

Texas ; United States
Edition:

Interim: September 1986 - September 1988
Corporate Publisher:

Texas Transportation Institute. Texas A&M University
Abstract:

The purpose of this report is to describe a backcalculation procedure (MODULUS) developed to interpret Falling Weight Deflectometer (FWD) data and to illustrate how this procedure was built into a pavement analysis system for the Texas State Department of Highways and Public Transportation. MODULUS is microcomputer based and can be used on 2-, 3-, or 4-layer pavement systems. It used a linear-elastic program to generate a database of deflection bowls; in a four-layer system, a minimum of 27 runs (3 x 3 x 3 moduli values for surface, base, and subgrade) would be performed. The size of the database depends on the user-supplied range of acceptable modulus values for each layer. Once the database is generated, a pattern search routine is used to fit measured and calculated bowls; error minimization is very rapid, less than 5 seconds per bowl on a 386-type microcomputer.
Format:

PDF
Funding:

2-18-87-1123
Download URL:

https://rosap.ntl.bts.gov/view/dot/86019/dot_86019_DS1.pdf
File Type:

[PDF - 1.83 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:0f24f216084ce1396a062b1ac3df4e9ffcdb36dfafc488503cef47359c69a42059954720879ed0e02030d76c06a59454a1843b4dff790a4c93f3e2d0f877c5cd

File Language:

English

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