Stability Dynamic Monitoring and Simulation of Self-compacting Concrete: a Review
LI Wenxu1, MA Kunlin1,2, LONG Guangcheng1,2, XIE Youjun1,2, MA Cong1,2, LI Ning1
1 School of Civil Engineering, Central South University, Changsha 410075 2 National Engineering Laboratory of High-speed Railway Construction Technology, Changsha 410075
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.
作者简介: 李文旭,2016年6月毕业于南昌航空大学,获得工学硕士学位。现为中南大学土木工程学院博士研究生,在龙广成、马昆林教授指导下进行研究。目前主要研究领域为先进水泥基材料。 马昆林,中南大学土木工程学院教授。分别于1999年、2005年和2009年在中南大学获得学士、硕士和博士学位。2015—2016年在University of Kentucky进行访问学者工作。2010年获湖南省优秀博士论文,2012年入选湖南省“121”人才工程,2013年入选中南大学“531”人才计划。主要从事道路与铁道工程方面的教学与科研,近年来主持和参加包括国家自科基金重大项目、高铁联合基金、“973”和“863”项目在内的纵横向科研项目30余项,发表学术论文近70余篇,其中SCI和EI收录30余篇,获省部级以上科研奖励3项,发明专利6项,主编教材2部。
引用本文:
李文旭, 马昆林, 龙广成, 谢友均, 马聪, 李宁. 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[J]. 材料导报, 2019, 33(13): 2206-2213.
LI Wenxu, MA Kunlin, LONG Guangcheng, XIE Youjun, MA Cong, LI Ning. Stability Dynamic Monitoring and Simulation of Self-compacting Concrete: a Review. Materials Reports, 2019, 33(13): 2206-2213.
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