| contributor author | Mohammed Sonebi | |
| contributor author | Abdulkadir Cevik | |
| date accessioned | 2017-05-08T21:18:35Z | |
| date available | 2017-05-08T21:18:35Z | |
| date copyright | November 2009 | |
| date issued | 2009 | |
| identifier other | %28asce%290899-1561%282009%2921%3A11%28672%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/46492 | |
| description abstract | Self-consolidating concrete (SCC) developed in Japan in the late 80s has enabled the construction industry to reduce demand on the resources, improve the work conditions and also reduce the impact on the environment by elimination of the need for compaction. This investigation aimed at exploring the potential use of the neurofuzzy (NF) approach to model the fresh and hardened properties of SCC containing pulverised fuel ash (PFA) as based on experimental data investigated in this paper. Twenty six mixes were made with water-to-binder ratio ranging from 0.38 to 0.72, cement content ranging from 183 to | |
| publisher | American Society of Civil Engineers | |
| title | Prediction of Fresh and Hardened Properties of Self-Consolidating Concrete Using Neurofuzzy Approach | |
| type | Journal Paper | |
| journal volume | 21 | |
| journal issue | 11 | |
| journal title | Journal of Materials in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)0899-1561(2009)21:11(672) | |
| tree | Journal of Materials in Civil Engineering:;2009:;Volume ( 021 ):;issue: 011 | |
| contenttype | Fulltext | |
