基于UDEM-ACE方法的ECC配合比优化设计

doi:10.11896/cldb.18050159

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Abstract High-performance engineered cementitious composites (ECC) have a high ultimate tensile strain compared with the normal concrete, which could be used to prevent the cracking and leakage problems for concrete infrastructure. The mechanical properties of ECC strongly depended on the raw materials. Meanwhile, based on the same raw materials, ECC material properties are mainly controlled by its mix proportion. Based on the materials and industrial wastes in Kunming Yunnan province, the uniform design experiment method (UDEM) with alternating conditional expectations (ACE) which is a non-parametric regression analysis (NPRA) method are chosen to obtain the optimal mix proportion range of ECC. The axial tensile tests and thin plate four-point bending test were conducted, and the scanning electron microscope instrument was used to randomly detect fiber dispersion in the tested specimens. The verification tests improved that the optimized ECC mix proportion specimens, which were obtained based on the UDEM-ACE method, gave large ultimate tensile strain capacity and energy absorption capacity, and the fiber distribution was uniformed. Some reference values for the application of ECC mix proportion and mixing process based on Kunming in Yunnan Province are provided. This paper can provide theoretical and practical guidance for the mix proportion optimization design of ECC for other regions and the design for other cement-based materials as well.

Key words： engineered cementitious composites (ECC) optimized mix proportion design uniform design experiment-alternating conditional expectations (UDEM-ACE) method ultimate tensile strain strain hardening

Published: 19 June 2019

CLC number:

TU528

Fund:This work was supported by the National Natural Science Foundation of China (51768028, 51308271, 51508253).

About author:: Zude Dingreceived his Ph.D. degree in Bridge and Tunnel Engineering from Central South University in Jun. 2012. He teaches at Kunming University of Scie-nce and Technology after receiving his Ph.D. and is currently an associate professor of the faculty. His research interests focus on health diagnosis and reinforcement of underground structures, the application of advance materials in underground structures. He has implemented 2 projects from National Natural Science Foundation of China (NSFC), 1 project from the Applied Basic Research Foundation of Yunnan Province. He has published more than 20 journal papers, applied 6 national invention patents and 2 of them has been authorized. He serves as a communication reviewer of the NSFC and is also a reviewer of several academic journals.Xiaoqin Lireceived her Ph.D. degree in Structural Engineering from the University of Edinburgh in June 2012. She is currently an Associate Professor in Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology. Her research interests are existing RC structure evaluation and strengthening and development & application of new civil engineering materials. Her current research was funded by National Science Foundation of China, Yunnan Provincial Department of Science and Technology and Scientific Research Foundation for the Returned Overseas Chinese Scholars. She has published more than 10 journal papers as the first author or contact author, applied 13 national invention patents.

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Cite this article:

LI Xiaoqin,YANG Xiao,DING Zude, et al. Optimized Mix Proportion Design of ECC Based on the UDEM-ACE Method[J]. Materials Reports, 2019, 33(14): 2354-2361.

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http://www.mater-rep.com/EN/10.11896/cldb.18050159 OR http://www.mater-rep.com/EN/Y2019/V33/I14/2354

1 Li V C. Journal of Advanced Concrete Technology, 1998, 1(3), 1.
2 Li V C. ACI Special Public Concrete, 2002, 206(23), 373.
3 Li V C, Mishra D, Wu C. Materials and Structures, 1995, 28, 586.
4 Li V C. International Journal of Concrete Structures & Materials, 2012, 6(3), 135.
5 Li V C. Structures, 2009, 10(242), 2209.
6 Xu S L, Li H D. China Civil Engineering Journal, 2008, 41(6), 45(in Chinese).
徐世烺, 李贺东. 土木工程学报, 2008, 41(6), 45.
7 Guan B S. Key techniques of the tunnel by mining method, China Communications Press, China, 2016(in Chinese).
关宝树. 矿山法隧道关键技术, 人民交通出版社, 2016.
8 Cao L. Experimental study on the mechanical property of PVA-fiber reinforced cementitious composites. Master's Thesis, Henan Polytechnic University, China, 2010(in Chinese).
曹磊. PVA纤维增强水泥基复合材料力学性能试验研究. 硕士学位论文, 河南理工大学, 2010.
9 Li D W. The mechanical properties of PVA fiber reinforced cement-based composites and plate dynamic response analysis under explosion loading. Master's Thesis, Chang'an University, China, 2013(in Chinese).
李东苇. PVA纤维增强水泥基复合材料力学性能及板的爆炸动力响应分析. 硕士学位论文, 长安大学, 2013.
10 Li S H. Experimental research on the mechanical properties of PVA fiber reinforced cementitious composite. Master's Thesis, Hubei University of Technology, China, 2011(in Chinese).
李素华. PVA纤维增强水泥基复合材料力学性能试验研究. 硕士学位论文, 湖北工业大学, 2011.
11 Li Y, Liu Z J, Liang X W. Engineering Mechanics, 2013, 30(1), 322(in Chinese).
李艳, 刘泽军, 梁兴文. 工程力学, 2013, 30(1), 322.
12 Jia F G, Song G S. Civil engineering material, Tsinghua University Press, China, 2016(in Chinese).
贾福根, 宋高嵩. 土木工程材料, 清华大学出版社, 2016.
13 Zuo W, Jiaqiang E, Liu X, et al. Applied Thermal Engineering, 2016, 103, 945.
14 Shi X M, Liu B G, Xiao J. Rock and Soil Mechanics, 2015, 36(5), 1357(in Chinese).
史小萌, 刘保国, 肖杰. 岩土力学, 2015, 36(5), 1357.
15 Liu J H, LI W X, Liu Y S, et al. Rock and Soil Mechanics, 2018, 39(2), 657(in Chinese).
刘金辉, 李文枭, 刘宇森, 等. 岩土力学, 2018, 39(2), 657.
16 Fang K T, Ma C X. Orthogonal and uniform experimental design, Science Press, China, 2001(in Chinese).
方开泰, 马长兴. 正交与均匀试验设计, 科学出版社, 2001.
17 Deng M K, Sun H Z, Liang X W, et al. Industrial Construction, 2014, 44(10), 107(in Chinese).
邓明科, 孙宏哲, 梁兴文, 等. 工业建筑, 2014, 44(10), 107.
18 Liu Z B, Chen J B, Liu J J. Optimization methods and applications, Petroleum Industry Press, China, 2013(in Chinese).
刘志斌, 陈军斌, 刘建军. 最优化方法及应用案例, 石油工业出版社, 2013.
19 Zhou M, Sun S D. Genetic algorithms: Theory and applications, National Defense Industry Press, China, 1999(in Chinese).
周明, 孙树栋. 遗传算法原理及应用, 国防工业出版社, 1999.
20 Tian J W, Gao M J. Artificial neural network algorithms: Research and applications, Beijing Institute of Technology Press, China, 2006(in Chinese).
田景文, 高美娟. 人工神经网络算法研究及应用, 北京理工大学出版社, 2006.
21 Xing W X, Xie J X. Modern optimization algorithms, Tsinghua University Press, China, 2006(in Chinese).
邢文训, 谢金星. 现代优化计算方法, 清华大学出版社, 2006.
22 Li S Y, Chen Y Q, Li Y. Ant colony algorithms with applications, Harbin Institute of Technology Press, China, 2004(in Chinese).
李士勇, 陈永强, 李研. 蚁群算法及其应用, 哈尔滨工业大学出版社, 2004.
23 Fang K T, Wang Y. Number-theoretic methods in statistics, Science Press,China, 1996(in Chinese).
方开泰, 王元. 数论方法在统计中的应用, 科学出版社, 1996.
24 Yang S J, Li Y H. Statistics and Decision, 2017(6), 31(in Chinese).
杨世娟, 李英华. 统计与决策, 2017(6), 31.
25 Zhang S Y, Ge X Q, Wang B. Journal of Quantitative and Technical Economics, 1997(10), 60(in Chinese).
张守一, 葛新权, 王斌. 数量经济技术经济研究, 1997(10), 60.
26 Huang X Y. Statistics, Chongqing University Press, China, 2015(in Chinese).
黄小艳. 统计学, 重庆大学出版社, 2015.
27 Fang K T. Applied regression analysis, Science Press, China, 1988(in Chinese).
方开泰. 实用回归分析, 科学出版社, 1988.
28 Breiman L, Friedman J H. Publications of the American Statistical Asso-ciation, 1985, 80(391), 580.
29 Insightful Corporation. S-PLUS 8 Guide to statistics, Seattle, USA, 2007.