지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Smart Structures and Systems, An International Journal Smart Structures and Systems, An International Journal Vol.25 No.2
- 발행연도
- 2020.1
- 수록면
- 183 - 195 (13page)
이용수
초록· 키워드
오류제보하기
Mineral admixtures have been widely used to produce concrete. Pozzolans have been utilized as partially replacement for Portland cement or blended cement in concrete based on the materials' properties and the concrete's desired effects. Several environmental problems associated with producing cement have led to partial replacement of cement with other pozzolans. Furnace slag and fly ash are two of the pozzolans which can be appropriately used as partial replacements for cement in concrete. However, replacing cement with these materials results in significant changes in the mechanical properties of concrete, more specifically, compressive strength. This paper aims to intelligently predict the compressive strength of concretes incorporating furnace slag and fly ash as partial replacements for cement. For this purpose, a database containing 1030 data sets with nine inputs (concrete mix design and age of concrete) and one output (the compressive strength) was collected. Instead of absolute values of inputs, their proportions were used. A hybrid artificial neural network-genetic algorithm (ANN-GA) was employed as a novel approach to conducting the study. The performance of the ANN-GA model is evaluated by another artificial neural network (ANN), which was developed and tuned via a conventional backpropagation (BP) algorithm. Results showed that not only an ANN-GA model can be developed and appropriately used for the compressive strength prediction of concrete but also it can lead to superior results in comparison with an ANN-BP model.
목차
등록된 정보가 없습니다.
참고문헌 (123)
참고문헌 신청
Masoud Abedini / 2017 / Evaluation of Concrete Structures Reinforced with Fiber Reinforced Polymers Bars: A Review / Journal of Asian Scientific Research 7(5):165~175
Abedini, M. / Large deflection behavior effect in reinforced concrete columns exposed to extreme dynamic loads / engrXiv
Meysam Alizamir / 2018 / An Artificial Neural Network - Particle Swarm Optimization (ANN- PSO) Approach to Predict Heavy Metals Contamination in Groundwater Resources / Jundishapur Journal of Health Sciences 10(2)
Ameri, M. / 2015 / Laboratory study of determination of optimum amount of water and clay in mortar made with lime and fly ash / International Conference on Research in Science and Technology
S.K. Antiohos / 2007 / Improving the performance of ternary blended cements by mixing different types of fly ashes / Cement and Concrete Research 37(6):877~885
Abedini, M. / Large deflection behavior effect in reinforced concrete columns exposed to extreme dynamic loads / engrXiv
Meysam Alizamir / 2018 / An Artificial Neural Network - Particle Swarm Optimization (ANN- PSO) Approach to Predict Heavy Metals Contamination in Groundwater Resources / Jundishapur Journal of Health Sciences 10(2)
Ameri, M. / 2015 / Laboratory study of determination of optimum amount of water and clay in mortar made with lime and fly ash / International Conference on Research in Science and Technology
S.K. Antiohos / 2007 / Improving the performance of ternary blended cements by mixing different types of fly ashes / Cement and Concrete Research 37(6):877~885
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Predicting compressive strength of bended cement concrete with ANNs
Computers and Concrete, An International Journal
2017 .01
-
Predicting strength of SCC using artificial neural network and multivariable regression analysis
Computers and Concrete, An International Journal
2017 .01
-
Utilisation of glass powder in high strength copper slag concrete
Advances in concrete construction
2017 .01
-
Concrete compressive strength prediction using the imperialist competitive algorithm
Computers and Concrete, An International Journal
2018 .01
-
Strength evaluation of concrete with fly ash and GGBFS as cement replacing materials
Advances in concrete construction
2015 .01
-
Prediction of fly ash concrete compressive strengths using soft computing techniques
Computers and Concrete, An International Journal
2020 .01
-
The prediction of compressive strength and non-destructive tests of sustainable concrete by using artificial neural networks
Computers and Concrete, An International Journal
2021 .01
-
Effect of environmentally friendly materials on steel corrosion resistance of sustainable UHPC in marine environment
Structural Engineering and Mechanics, An Int＇l Journal
2022 .04
-
고강도영역 3성분계 시멘트 모르타르에서 FA와 BS의 혼합비율 변화에 따른 공학적 특성 분석
대한건축학회 논문집 - 구조계
2017 .09
-
Strength Development and Carbonation Characteristics of Slag Cement/Class C Fly Ash blended CO<sub>2</sub> Injection Well Sealant
지하수토양환경
2016 .01
-
전기로 환원슬래그를 혼합하여 제작한 2성분계 시멘트의 수화반응 해석 및 콘크리트 적용 성능 평가
한국폐기물자원순환학회지
2015 .01
-
Portland cement structure and its major oxides and fineness
Smart Structures and Systems, An International Journal
2018 .01
-
Effect of fly ash and plastic waste on mechanical and durability properties of concrete
Advances in concrete construction
2017 .01
-
Prediction of unconfined compressive and Brazilian tensile strength of fiber reinforced cement stabilized fly ash mixes using multiple linear regression and artificial neural network
Advances in computational design
2017 .01
-
고온에 의한 3성분계 저시멘트 콘크리트의 강도 변화 연구
한국콘크리트학회 학술대회 논문집
2023 .11
-
F급 플라이 애쉬를 활용한 알칼리 활성시멘트 콘크리트의 강도특성
공학기술논문지
2016 .12
-
Contribution to the Prediction of the Recycling Potential of Recycled Concrete as a Cement Admixture Based on the Compressive Strength of the Parent Concrete
International Journal of Concrete Structures and Materials
2025 .01
-
Optimization of rice husk ash (RHA) as partial replacement of cementing material in structural ceramic composite concrete using response surface methodology (RSM) statistical experimental design
Journal of Ceramic Processing Research
2020 .01
-
Mechanical properties and adiabatic temperature rise of low heat concrete using ternary blended cement
Computers and Concrete, An International Journal
2016 .01
-
Study on the applicability of regression models and machine learning models for predicting concrete compressive strength
Structural Engineering and Mechanics, An Int＇l Journal
2024 .09
이 논문의 저자 정보
최근 본 자료
댓글(0)
0