Published March 1, 2018 | Version v1
Journal article

Stress Regression Analysis of Asphalt Concrete Deck Pavement Based on Orthogonal Experimental Design and Interlayer Contact

  • 1. School of Science, Chang'an University, Xi'an Shaanxi (China)

Description

A three-dimensional finite element box girder bridge and its asphalt concrete deck pavement were established by ANSYS software, and the interlayer bonding condition of asphalt concrete deck pavement was assumed to be contact bonding condition. Orthogonal experimental design is used to arrange the testing plans of material parameters, and an evaluation of the effect of different material parameters in the mechanical response of asphalt concrete surface layer was conducted by multiple linear regression model and using the results from the finite element analysis. Results indicated that stress regression equations can well predict the stress of the asphalt concrete surface layer, and elastic modulus of waterproof layer has a significant influence on stress values of asphalt concrete surface layer. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/322/4/042026

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
322
Journal Issue
4
Journal Page Range
[7 p.]
ISSN
1757-899X

Conference

Title
International Symposium on Application of Materials Science and Energy Materials
Acronym
SAMSE 2017
Dates
28-29 Dec 2017
Place
Shanghai (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52079442
Subject category
S36: MATERIALS SCIENCE;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ASPHALTS; CONCRETES; DESIGN; FINITE ELEMENT METHOD; LAYERS; PAVEMENTS; REGRESSION ANALYSIS; STRESSES; TESTING; THREE-DIMENSIONAL CALCULATIONS
Descriptors DEC
BITUMENS; BUILDING MATERIALS; CALCULATION METHODS; MATERIALS; MATHEMATICAL SOLUTIONS; MATHEMATICS; NUMERICAL SOLUTION; ORGANIC COMPOUNDS; OTHER ORGANIC COMPOUNDS; STATISTICS; TAR