MATHEMATICAL MODELLING FOR THE PREDICTION OF PROPERTIES AND PERFORMANCE CHARACTERISTICS OF NEEDLEPUNCHED GEOTEXTILES
Relationships between the various factors involved in the manufacture of needlepunched geotextiles, their basic dimensional properties and performance characteristics were developed. Multivariate regression analyses were utilized to formulate empirical models in order to predict the performance characteristics from the basic fabric elements. The main variables employed in this mathematical modelling study were punch density (PD), depth of needle penetration (NP), web area density (WAD), fabric area density (FAD), fabric thickness (FBT), fabric bulk density (FBD), puncture resistance (CBR), tensile strength in machine direction (TMD) and tensile strength in cross machine direction (TXMD). Statistical analyses of the breaking extension ranges in the machine and cross machine directions were also performed. The empirical relationships developed showed that it is possible to predict the performance of the needlepunched geotextiles accurately on the basis of their fundamental properties, obtained under a given set of fibre, machine and fabric parameters. These mathematical models have been validated for a very wide range of manufacturing parameters and performance characteristics of needlepunched geotextiles. For the covering abstract see ITRD E117244.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9058095231
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Corporate Authors:
AA Balkema
P.O. Box 1675
Rotterdam, Netherlands BR-3000 -
Authors:
- SHAH, T H
- ANAND, S C
- CADDICK, V R
- Publication Date: 2002-9
Language
- English
Media Info
- Features: References;
- Pagination: p. 1107-10
- Serial:
Subject/Index Terms
- TRT Terms: Conferences; Geotextiles; Performance; Strength of materials
- ITRD Terms: 8525: Conference; 5910: Durability; 4568: Geotextile; 5544: Strength (mater)
- Subject Areas: Data and Information Technology; Geotechnology;
Filing Info
- Accession Number: 00943226
- Record Type: Publication
- Source Agency: Transport Research Laboratory
- ISBN: 90-5809-523-1
- Files: ITRD
- Created Date: Jun 11 2003 12:00AM