自密实混凝土拌合物稳定性动态监测及数值模拟研究进展

doi:10.11896/cldb.18060078

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Abstract Self-compacting concrete (SCC)has superior construction performance in the fresh mixing stage, it has attracted extensive attention of relevant researchers and engineering technicians since its advent, and has gained more and more applications in engineering structures such as construction, railway, highway and water conservancy. In order to achieve "self-compacting" performance, SCC adopted technical measures such as reducing the volume content of coarse aggregate and increasing the volume content of the paste. The characteristics of the high fluidity of fresh SCC and low coarse aggregate volume content made the segregation tendency of each component increase, which easily leads to poor stability of the mixture. In practical engineering applications, people pay more attention to the high fluidity of SCC and neglect the study of stability, which often causes engineering quality problems.
In order to improve the stability of SCC mixture, researchers have made many efforts to propose technical measures to enhance the stability of fresh SCC, and developed a series of SCC stability testing and evaluation methods, including visual stability index (VSI) method, hardened concrete visual stability index (HVSI) method, electronic image analysis method, GTM sieve stability test, segregation rate sieve test, penetration test, column method, compaction factor method, separation probe, which are basically the overall evaluation of the stability of the mixture after the aggregate settlement is completed, ignoring the dynamic process and characteristics of the relative motion of the paste and aggregate in the mixture. The analysis makes it difficult to understand the nature and key influencing factors of SCC mixture stability. In recent years, scholars have also proposed methods such as conductivity method, hydrostatic pressure test (HYSPT), visible slurry method, ultrasonic speed method, radioactive element labeling method, etc., which can better realize the dynamic monitoring of the stabilize SCC mixtures. At the same time, combined with modern advanced numerical calculation and simulation technology, some scholars have carried out numerical simulation analysis on the stability of SCC mixture, and realized the visualization of SCC mixture by modeling, which has become the stability of SCC mixture. The important means of research are the numerical simulation and visual analysis of the flow process of SCC mixture by three numerical simulation methods, such as discrete element (DEM), finite element software (CFD) and a combination of solid-liquid coupling models, which provides a more intuitive and convenient means for SCC mixture stability prediction and control.
In this paper, the key factors affecting the stability of SCC mixture are elaborated from the connotation of the stability of fresh mixed SCC. The dynamic monitoring and evaluation methods and numerical simulation methods for the stability of SCC mixture at home and abroad are summarized, and the research recommendations for the stability of SCC mixture are proposed. Finally, the development trend of the self-compacting concrete is prospected.

Key words： self-compacting concrete stability dynamic monitoring numerical simulation method

Published: 14 June 2019

CLC number:

TQ172

Fund:This work was financially supported by the National Natural Science Foundation of China (51678569,51678568), China Railway Corporation Science and Technology Research and Development Plan Key Topics (2017G005-B).

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	Articles by authors
	LI Wenxu
	MA Kunlin
	LONG Guangcheng
	XIE Youjun
	MA Cong
	LI Ning

Cite this article:

LI Wenxu,MA Kunlin,LONG Guangcheng, et al. Stability Dynamic Monitoring and Simulation of Self-compacting Concrete: a Review[J]. Materials Reports, 2019, 33(13): 2206-2213.

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http://www.mater-rep.com/EN/10.11896/cldb.18060078 OR http://www.mater-rep.com/EN/Y2019/V33/I13/2206

Bensebti S E, Aggoun S, Kadri E H, et al. Advanced Materials Research, 2014, 875-877, 68.2 Shen L, Jovein H B, Wang Q. Journal of Materials in Civil Engineering, 2016, 28(1), 04015067.3 Domone P L. Cement Concrete Composites, 2006, 28(2), 197.4 Esmaeilkhanian B, Khayat K H, Yahia A, et al. Cement & Concrete Composites, 2014, 54, 21.5 Shen L, Struble L, Lange D. ACI Materials Journal, 2009, 106(4), 367.6 Pan D Y, Xing J, Wang B Y. Journal of Chongqing University of Techno-logy(Natural Science),2018, 32(1), 86(in Chinese).潘道远, 邢军, 汪步云. 重庆理工大学学报(自然科学), 2018, 32(1), 86.7 Struble L J, Ji X. Handbook of analytical techniques in concrete science & technology, Noyes Publications, USA,2001.8 Fayed M E, Otten L. Handbook of powder science & technology, Springer, US, 1997.9 Li H J,Yi Z L, Xie Y J. Materials Reviews A:Review Papers, 2012, 26(3),120(in Chinese).李化建, 易忠来, 谢永江. 材料导报:综述篇, 2012, 26(3),120.10 G k e H S, Andi-Cakir. Construction and Bulding Materials, 2018, 168 (20), 312.11 Lange D A, Struble L J, Dambrosia M D, et al. Performance and accep-tance of self-consolidating Concrete: final report, Civil Engineering Stu-dies Illionois Center for Transportations, 2008.12 Shen L. Role of aggregate packing in segregation and flow behavior of self-consolidating concrete. Ph. D. Thesis, University of Illinois at Urbana-Champaign, Urbana, IL, 2007.13 Chen Yu,Huang Xiangning, Zhou Wenfang. Journal of Changsha University of Science and Technology(Natural Science), 2011, 8(4), 29(in Chinese).陈瑜, 黄湘宁, 周文芳. 长沙理工大学学报(自然科学版), 2011, 8(4), 29 .14 Zhang Yong, Li Huajian, Zhao Qingxin. Concrete,2015(10),113(in Chinese).张勇, 李化建, 赵庆新. 混凝土, 2015(10),113.15 Ding Xiangqun,Zhang Lengqing,Zhou Liren,et al. Concrete,2014(8), 1 (in Chinese).丁向群, 张冷庆, 周莉人,等. 混凝土, 2014(8), 1.16 Zhang Yunguo, Wu Zhimin, Zhang Xiaoyun. Journal of Dalian University of Technology, 2010, 50(2),234 (in Chinese).张云国, 吴智敏, 张小云.大连理工大学学报, 2010, 50(2),234.17 Zhang Yong. Researchonthe static stabiliyt of the filling layer SCC of CRTS Ⅲ type system. Master's Thesis, Yanshan University, China, 2011 (in Chinese).张勇.CRTS Ⅲ型板式无砟轨道充填层自密实混凝土静态稳定性研究.硕士学位论文, 燕山大学, 2016.18 Lange D , Struble L , Shen L . Journal of Testing & Evaluation, 2006, 35(3),100535.19 Khayat K H, Vanhove Y, Pavate T V, et al. ACI Materials Journal, 2007, 104(4), 424.20 Mesbah H A, Yahia A, Khayat K H. Cement & Concrete Research, 2011, 41(5), 451.21 Peng Y, Lauten R A, Reknes K, et al. Cement & Concrete Composites, 2017, 76, 25.22 Peng Y, Jacobsen S. Cement & Concrete Research, 2013, 54, 133.23 Peng Y, Jacobsen S, Weerdt K D, et al. Advances in Civil Engineering Materials, 2014, 3(2), 1.24 Radocea A. A study of the mechanism of plastic shrinkage of cement-based materials. Ph. D. Thesis, Chalmers University of Technology, Gothenburg, Sweden, 1992.25 Radocea A. Cement & Concrete Research, 1992, 22(5), 855.26 Boulekbache B, Hamrat M, Chemrouk M, et al. Construction & Building Materials, 2010, 24(9), 1664.27 Tian Zhenghong,Li Xuhang,Peng Zhihai. Journal of Building Materials, 2015, 18(2), 243(in Chinese).田正宏, 李旭航, 彭志海. 建筑材料学报, 2015, 18(2), 243.28 Vangel M G. Technometrics, 2002, 44(3), 242.29 Benaicha M, Jalbaud O, Roguiez X, et al. Alexandria Engineering Journal, 2015, 54(4), 1181.30 Petrou M F, Harries K A, Gadala-Maria F, et al. Cement & Concrete Research, 2000, 30(5), 809.31 Tanigawa Y, Mori H. In: Proceedings of the 29th Japan Congress on Materials Research. Japan, 1986, pp. 129.32 Gram A. Materials & Structures, 2011, 44(4), 805.33 Annika Gram. Numerical modelling of self-compacting concrete flow. Ph.D. Thesis, Royal Institute of Technology (KTH), Sweden, 2009.34 Chu H, Machida A. In: Recent Advances in Concrete Technology, Fourth CANMET/ACI/ JCI International Conference. Tokushima, Japan,1998.35 Petersson O, Hakami H. In: 2nd International SCC Conference. Tokyo, Japan, 2001.36 Petersson O. In: Proceedings, 3rd International RILEM Symposium. Reykjavik, 2003, pp. 202.37 Wang Fujun. Computational fluid dynamics analysis CFD principle and application, Beijing University Press, China, 2004 (in Chinese)王福军. 计算机流体动力分析CFD软件原理与应用,北京大学出版社, 200438 Che Defu,Li Huixiong. Multiphase flow and its application, Xi'an Jiaotong University Press, China, 2004.车得福, 李会雄. 多相流及其应用, 西安交通大学出版社, 2007.39 Ferrara L, Cremonesi M, Tregger N, et al. Cement and Concrete Research, 2012, 42(8),1134.40 Hosseinpoor M, Khayat K H, Yahia A. Materials & Structures, 2017, 50(2),163.41 Hosseinpoor M, Khayat K H, Yahia A, et al. Computers & Concrete, 2017,20(3), 297.42 Mori H, Tanigawa Y. Memoirs of the School of Engineering Nagoya University, 1992, 44, 71.43 Dufour F, Pijaudier-Cabot G.International Journal for Numerical & Analytical Methods in Geomechanics, 2010, 29(4), 395.44 Amberg G, Tonhardt R, Winkler C. Mathmatic and Computers Simulation, 1999, 49(4-5),257.45 Karakurta C,elikb A O, Yilmazer C, et al. Construction & Building Materials, 2018, 186,20.46 Naggar M H E, Nehdi M, Elchabib H. ACI Materials Journal, 2001, 98(5), 394.47 Oh J W, Lee I W, Kim J T, et al. ACI Materials Journal, 1999, 96(1), 61.48 Haj-Ali R, Pecknold D A, Ghaboussi J, et al. Journal of Engineering Mechanics, 2001, 127(7), 730.49 Miroslav Kubat.Neural networks: A comprehensive foundation by Simon Haykin, Macmillan, Cambridge University Press, UK,1999.50 Rumelhart D E. Parallel Distributed Processing, 1986, 323 (6088), 533.51 Elchabib H, Nehdi M. Advances in Cement Research, 2005, 17(3), 91.52 Elchabib H. ACI Materials Journal, 2006, 103(5), 374.