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
- 한국콘크리트학회 International Journal of Concrete Structures and Materials International Journal of Concrete Structures and Materials Vol.12 No.3
- 발행연도
- 2018.3
- 수록면
- 415 - 424 (10page)
이용수
초록· 키워드
오류제보하기
High performance concrete especially self compacting concrete (SCC) has got wide popularity in construction industry because of its ability to flow through congested reinforcement without segregation and bleeding. Even though European Federation of National Associations Representing for Concrete (EFNARC) guidelines are available for the mix design of SCC, large number of trials are required for obtaining an SCC mix with the desired engineering properties. The material and time requirement is more to conduct such large number of trials. The main objective of the study presented in this paper is to demonstrate use of regularized least square algorithm (RLS) along with random kitchen sink algorithm (RKS) to effectively predict the fresh and hardened stage properties of SCC. The database for testing and training the algorithm was prepared by conducting tests on 40 SCC mixes. Parametric variation in the SCC mixes were the quantities of fine and coarse aggregates, superplasticizer dosage, its family and water content. Out of 40 test results, 32 results were used for training and 8 set results were used for testing the algorithm. Modelling of both fresh state properties viz., flowing ability (Slump Flow), passing ability (J Ring), segregation resistance (V funnel at 5 min) as well as hardened stage property (compressive strength) of the SCC mix was carried out using RLS and RKS algorithm. Accuracy of the model was checked by comparing the predicted and measured values. The model could accurately predict the properties of the SCC within the experimental domain.
목차
Abstract
1. Introduction
2. Background Literature
3. Approach to Modeling and Prediction
4. Experimental Details
5. Database Preparation and Modeling
6. Analysis and Discussion of Result
7. Summary and Conclusion
References
참고문헌 (48)
참고문헌 신청
Altun, F., Kisi, O., & Aydin, K. (2008). Prediction the compressive strength of steel fiber added lightweight concrete using neural network. Computational Material Science, 42, 259?265.
Belalia Douma, O., Boukhatem, B., & Ghrici, M. (2014). Prediction compressive strength of self-compacting concrete containing fly ash using fuzzy logic inference system. International Journal of Civil, Architectural, Structural and Construction Engineering, 8(12), 1265?1269.
Chien, W.-H., Chen, L., Wei, C.-C., Hsu, H.-H., & Wang, T.-S. (2010). Modeling slump flow of high performance concrete using a back propagation network. Applied Mechanics and Materials, 20?23, 838?842. https://doi.org/10.4028/www.scientific.net/AMM.20-23.838.
Ghafari, E., Bandarabadi, M., Costa, H., & Ju´ lio, E. (2015). Prediction of fresh and hardened state properties of UHPC: comparative study of statistical mixture design and an artificial neural network model. Journal of Materials in Civil Engineering, 27(11), 1?11. https://doi.org/10.1061/ (ASCE)MT.1943-5533.0001270.
Hossain, K. M. A., Lachemi, M., & Easa, S. M. (2006). Artificial neural network model for the strength prediction of fully restrained RC slabs subjected to membrane action. Computers and Concrete, 3(6), 439?454.
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Mechanical and durability properties of self-compacting concrete with blended binders
Computers and Concrete, An International Journal
2018 .01
-
Estimating the workability of self-compacting concrete in different mixing conditions based on deep learning
Computers and Concrete, An International Journal
2020 .01
-
Steel Fiber Reinforced Self‑Compacting Concrete: A Comprehensive Review
International Journal of Concrete Structures and Materials
2023 .11
-
SCC 시스템 관점에서의 센서성능 육성 방안
한국자동차공학회 추계학술대회 및 전시회
2019 .11
-
속도 교통표지판 정보를 이용한 SCC 시스템 설계
한국자동차공학회 춘계학술대회
2018 .06
-
Self-Compacting Concrete with Partially Substitution of Waste Marble: A Review
International Journal of Concrete Structures and Materials
2023 .07
-
Effect of temperature on the behavior of self-compacting concretes and their durability
Advances in concrete construction
2019 .01
-
SCC 커버 발열기능 적용을 위한 구조 최적화 연구
한국자동차공학회 추계학술대회 및 전시회
2021 .11
-
Investigating the use of wollastonite micro fiber in yielding SCC
Advances in concrete construction
2018 .01
-
Performance of High Strength Self-Compacting Concrete Beams under Different Modes of Failure
International Journal of Concrete Structures and Materials
2015 .03
-
발열 SCC 커버 개발을 위한 열선 구조와 성능 간의 상관관계 연구
한국자동차공학회 추계학술대회 및 전시회
2022 .11
-
Creep behaviour of normal- and high-strength self-compacting concrete
Structural Engineering and Mechanics, An Int＇l Journal
2015 .01
-
Creep behaviour of normal- and high-strength self-compacting concrete
Structural engineering and mechanics : An international journal
2015 .01
-
Effect of curing treatments on the material properties of hardened self-compacting concrete
Advances in concrete construction
2017 .01
-
Analysis of Screen Content Coding Based on HEVC
IEIE Transactions on Smart Processing & Computing
2015 .08
-
Effect of coarse aggregates and sand contents on workability and static stability of self-compacting concrete
Advances in concrete construction
2019 .01
-
배합요인이 자기충전 콘크리트의 워커빌리티 및 레올로지 파라미터에 미치는 영향 분석
한국건축시공학회지
2018 .01
-
제9회 International RILEM Symposium on Self Compacting Concrete 참가기
콘크리트학회지
2020 .07
-
고탄소 강섬유 혼입률에 따른 자기충전 콘크리트(SCC)의 역학적 특성에 관한 연구
대한건축학회 학술발표대회 논문집
2016 .10
-
Improvement of Chloride Induced Stress Corrosion Cracking Resistance of Welded 304L Stainless Steel by Ultrasonic Shot Peening
Corrosion Science and Technology
2024 .08
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2018-532-001899989