| contributor author | Peng Zhang | |
| contributor author | Chenhui Liu | |
| contributor author | Qingfu Li | |
| date accessioned | 2017-05-08T21:55:35Z | |
| date available | 2017-05-08T21:55:35Z | |
| date copyright | December 2011 | |
| date issued | 2011 | |
| identifier other | %28asce%29mt%2E1943-5533%2E0000365.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/66693 | |
| description abstract | Many factors of mix proportion affect the chloride permeability and freeze-thaw resistance of high-performance concrete containing nanoparticles, including the dosages of cement, nanomaterials, mineral fine admixture, and chemical admixture and the water-binder and sand ratios. The aim of this study was to evaluate the effects of these factors on the chloride permeability and freeze-thaw resistance of high-performance concrete containing nanoparticles and determine which factors yield the greatest influence. The gray relational analysis method was used to calculate relational grades between the effect factors and the diffusion coefficient of | |
| publisher | American Society of Civil Engineers | |
| title | Application of Gray Relational Analysis for Chloride Permeability and Freeze-Thaw Resistance of High-Performance Concrete Containing Nanoparticles | |
| type | Journal Paper | |
| journal volume | 23 | |
| journal issue | 12 | |
| journal title | Journal of Materials in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)MT.1943-5533.0000332 | |
| tree | Journal of Materials in Civil Engineering:;2011:;Volume ( 023 ):;issue: 012 | |
| contenttype | Fulltext | |
