In this study, artificial neural network (ANN) and fuzzy logic (FL) models have been developed for predicting the compressive strength (f c ) and dynamic modulus of elasticity (E d ) of the crushed tile concretes (CTC) exposed to elevated temperatures. Some relationships are established between chos
β¦ LIBER β¦
Residual compressive behavior of alkali-activated concrete exposed to elevated temperatures
β Scribed by Maurice Guerrieri; Jay Sanjayan; Frank Collins
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 276 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0308-0501
- DOI
- 10.1002/fam.983
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Strain rate sensitivity of flow stress and creep resistance were studied during creep at elevated temperature of 373 K as function of prestrain in multiple uniaxial compression at room temperature for pure Cu99.99 with initial grain size d β 50 m. Moderate prestrains β€ 2 strengthen the material by f