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/322/4/042026Additional details
Identifiers
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