A Markov chain Monte Carlo technique based optimal mix design of porous concrete
Article
Article Title | A Markov chain Monte Carlo technique based optimal mix design of porous concrete |
---|---|
ERA Journal ID | 124777 |
Article Category | Article |
Authors | Jin, Lu (Author) and Zhuge, Yan (Author) |
Editors | Hou, Hetao and Tian, Li |
Journal Title | Applied Mechanics and Materials |
Journal Citation | 357-360, pp. 959-962 |
Number of Pages | 4 |
Year | 2013 |
Publisher | Trans Tech Publications |
Place of Publication | Zurich, Switzerland |
ISSN | 1660-9336 |
1662-7482 | |
1662-7490 | |
Digital Object Identifier (DOI) | https://doi.org/10.4028/www.scientific.net/AMM.357-360.959 |
Web Address (URL) | http://www.ceabm.org |
Abstract | Porous concrete is one of the innovative and promising concrete products, which is featured with a relatively high water permeability rate. Compared with conventional concrete products, due to the lack of fine aggregates in the mix design of porous concrete, the void spaces between the coarse aggregates remains unfilled and causes a large amount of porosity in the hardened concrete mass. On the other hand, the strength of porous concrete is usually lower than that of the conventional concrete products due to the lack of fine aggregates. For the purpose of achieving a relatively high strength of porous concrete while maintaining a good permeability of pavements, the mix design of porous concrete is modeled as a Markov Chain Monte Carlo (MCMC) system and a Gibbs Sampling method based approach is developed to approximate the optimal mix design. The simulation results show that, by using the proposed approach, the system converges to the optimal solution quickly and the derived optimal mix design achieves the tradeoff between the compressive strength and the permeability rate. |
Keywords | compressive strength; Gibbs sampling; Markov chain monte carlo; optimal mix design; permeability; porous concrete |
ANZSRC Field of Research 2020 | 340309. Theory and design of materials |
400505. Construction materials | |
401706. Numerical modelling and mechanical characterisation | |
Public Notes | © 2013 Trans Tech Publications, Switzerland. Published version deposited in accordance with the copyright policy of the publisher. |
Byline Affiliations | Faculty of Engineering and Surveying |
Event | 3rd International Conference on Civil Engineering, Architecture and Building Materials (CEABM 2013) |
Institution of Origin | University of Southern Queensland |
ISBN | 9783037857762 |
Event Details | 3rd International Conference on Civil Engineering, Architecture and Building Materials (CEABM 2013) Event Date 24 to end of 26 May 2013 Event Location Jinan, China |
https://research.usq.edu.au/item/q2105/a-markov-chain-monte-carlo-technique-based-optimal-mix-design-of-porous-concrete
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