Predicting residual compressive strength of self-compacted concrete under various temperatures and relative humidity conditions by artificial neural networks
활용도 Analysis
논문 Analysis
연구자 Analysis
저자
Ahmed M. Ashteyat
Muhannad Ismeik
제어번호
105046293
학술지명
Computers and Concrete, An International Journal
권호사항
Vol.
21
No.
1
[
2018
]
발행처
사단법인 한국계산역학회
자료유형
학술저널
수록면
47-54
언어
English
출판년도
2018
등재정보
SCIE;SCOPUS
판매처
'
Predicting residual compressive strength of self-compacted concrete under various temperatures and relative humidity conditions by artificial neural networks' 의 주제별 논문영향력
논문영향력 요약
주제
동일주제 총논문수
논문피인용 총횟수
주제별 논문영향력의 평균
5,578
2
자세히
주제별 논문영향력
논문영향력
주제
주제별 논문수
주제별 피인용횟수
주제별 논문영향력
주제분류(KDC/DDC)
공학, 공업일반
5,595
0
계
5,595
0
* 다른 주제어 보유 논문에서 피인용된 횟수
2
닫기
'
Predicting residual compressive strength of self-compacted concrete under various temperatures and relative humidity conditions by artificial neural networks' 의 참고문헌
Thermal performance of self-compacting concrete: destructive and nondestructive evaluation
Thermal and mechanical properties of fiber reinforced high performance self-consolidating concrete at elevated temperatures
Thermal analysis at the evaluation of concrete damage by high temperatures
Study on residual behavior and flexural toughness of fiber cocktail reinforced self compacting high performance concrete after exposure to high temperature
Strength development models of concrete with silica fume as fine aggregate replacement material
Self-consolidating concrete subjected to high temperature: Mechanical and physical properties
Self-compacting concrete incorporating high volumes of class F fly ash preliminary results
Self-compacting concrete incorporating filler additives: Performance at high temperature
Self-compacting concrete containing different powders at elevated temperatures-mechanical properties and changes in the phase composition of the paste
Properties of Concrete, Fourth Edition
Properties and behavior of self-compacting concrete produced with GBFS and FA additives subjected to high temperatures
Prediction of the strength of mineral admixture concrete using multivariable regression analysis and an artificial neural network
Prediction of mechanical properties of post-heated self-compacting concrete using nondestructive tests
Prediction of concrete strength using ultrasonic pulse velocity and artificial neural networks
Prediction of compressive strength of self compacting concrete containing bottom ash using artificial neural networks
Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network
Performance of self consolidating concrete for casting basement and foundation walls
On the mechanism of polypropylene fibers in preventing fire spalling in self-compacting and high performance cement paste
Neural networks for predicting compressive strength of structural light weight concrete
Modeling soil specific surface area with artificial neural networks
Modeling mechanical performance of lightweight concrete containing silica fume exposed to high temperature using genetic programming
Mechanical characteristics of self-compacting concretes with different filler materials exposed to elevated temperature
Learning internal representation by error propagation. Parallel distributed processing: Explorations in the microstructure of cognition, Vol. 1
Impact of high temperature on PFA concrete
High-temperature behavior of HPC with polypropylene fibers from spalling to microstructure
High-strength self-compacting concrete exposed to fire test
Fundamentals of Neural Networks: Architecture, Algorithms, and Applications
Fly ash in self-compacting concrete, ACI SP, 99
Fire resistance of self-compacting concrete
Environmental enhancement through utilization of silica fume as a partial replacement of fine aggregate in concrete
Effect of rheological parameters on self compactability of concrete containing various mineral admixtures
Compressive strength of self-compacting concrete during high-temperature exposure
Assessment of temperature increase and residual strength of SCC after fire exposure
Artificial neural network in prediction of concrete strength reduction due to high temperature
Application of statistical models in proportioning medium-strength self-consolidating concrete
'
Predicting residual compressive strength of self-compacted concrete under various temperatures and relative humidity conditions by artificial neural networks'
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