Published April 1, 2019 | Version v1
Journal article Metadata-only

Statistical modelling of carbonation coefficient in concrete

Creators

  • 1. School of Architecture and Civil Engineering, West Anhui University, Lu'an (China)
  • 2. School of Civil Engineering, Qing Hai University, Xi Ning (China)
  • 3. Guangdong Provincial Construction Design and Consulting Company Limited, Guangzhou (China)
  • 4. School of Civil Engineering and Architecture, Guangxi University, Nanning (China)

Description

Current models for the carbonation coefficient in concrete cannot comprehensively consider the impact of water-to-binder ratio, replacement of mineral admixtures, and the coupling effect of each other. To overcome this limitation, an improved model for carbonation coefficient was developed based on 96 sets of concrete carbonation test data under standard carbonization environment. Compared with the reference models, the proposed model has a higher precision. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/490/3/032028

Additional details

Identifiers

DOI
10.1088/1757-899X/490/3/032028;

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
490
Journal Issue
3
Journal Page Range
[5 p.]
ISSN
1757-899X

Conference

Title
2. International Symposium on Application of Materials Science and Energy Materials
Acronym
SAMSE 2018
Dates
17-18 Dec 2018
Place
Shanghai (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52112802
Subject category
S36: MATERIALS SCIENCE; S37: INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ACCURACY; BINDERS; CARBONATES; CARBONIZATION; COMPUTERIZED SIMULATION; CONCRETES; COUPLING; MINERALS
Descriptors DEC
BUILDING MATERIALS; CARBON COMPOUNDS; CHEMICAL REACTIONS; DECOMPOSITION; MATERIALS; OXYGEN COMPOUNDS; SIMULATION