Prediction of Compressive Strength of Self- Compacting Concrete with Fuzzy Logic
| Main Authors: | Paratibha Aggarwal, Yogesh Aggarwal |
|---|---|
| Format: | Article Journal |
| Bahasa: | eng |
| Terbitan: |
, 2011
|
| Online Access: |
https://zenodo.org/record/1330501 |
Daftar Isi:
- The paper presents the potential of fuzzy logic (FL-I) and neural network techniques (ANN-I) for predicting the compressive strength, for SCC mixtures. Six input parameters that is contents of cement, sand, coarse aggregate, fly ash, superplasticizer percentage and water-to-binder ratio and an output parameter i.e. 28- day compressive strength for ANN-I and FL-I are used for modeling. The fuzzy logic model showed better performance than neural network model.