• EI
    • CSA
    • CABI
    • 卓越期刊
    • CA
    • Scopus
    • CSCD
    • 核心期刊

秸秆灰混凝土力学性能试验及强度预测

张强, 李耀庄, 刘保华, 徐志胜

张强, 李耀庄, 刘保华, 徐志胜. 秸秆灰混凝土力学性能试验及强度预测[J]. 农业工程学报, 2017, 33(2): 259-265. DOI: 10.11975/j.issn.1002-6819.2017.02.036
引用本文: 张强, 李耀庄, 刘保华, 徐志胜. 秸秆灰混凝土力学性能试验及强度预测[J]. 农业工程学报, 2017, 33(2): 259-265. DOI: 10.11975/j.issn.1002-6819.2017.02.036
Zhang Qiang, Li Yaozhuang, Liu Baohua, Xu Zhisheng. Mechanical properties and strength prediction of straw ash concrete[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2017, 33(2): 259-265. DOI: 10.11975/j.issn.1002-6819.2017.02.036
Citation: Zhang Qiang, Li Yaozhuang, Liu Baohua, Xu Zhisheng. Mechanical properties and strength prediction of straw ash concrete[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2017, 33(2): 259-265. DOI: 10.11975/j.issn.1002-6819.2017.02.036

秸秆灰混凝土力学性能试验及强度预测

基金项目: 国家科技支撑计划课题资助(2014BAK17B02和2014BAK17B03)

Mechanical properties and strength prediction of straw ash concrete

  • 摘要: 为了优化混凝性能,减少水泥产业耗能,尝试采用以部分秸秆灰替代水泥制备混凝土。该文通过试验对油菜秸秆灰混凝土拉压性能进行了研究,得到秸秆灰质量分数和水胶比对秸秆灰混凝土拉压性能的影响规律,如当秸秆灰质量分数增大时,混凝土拉压性能呈下降趋势;当水胶比过大时,混凝土力学性能急剧下降。同时提出秸秆灰混凝土抗拉性能与抗压性能间的线性函数关系以及混凝土轴心抗压强度计算公式,并与其他混凝土抗压强度公式进行比对验证。采用小波神经网络的预测方法,引入随机函数,对试验数据抽样进行训练,而后预测数据并与试验数据进行比对,计算误差,并将预测数据用于该文提出的拉压公式进行验证,结果表明验证较好。最后试验结果表明:当秸秆灰替代掺量为10%时,秸秆灰混凝土劈裂抗拉强度下降了25%,抗压强度仅下降了8%;当替代掺量为20%时,抗压强度下降了31%。
    Abstract: Abstract: In order to enhance the coagulation performance and reduce the energy consumption of the cement industry, part of the cement is replaced by straw ash to produce concrete. In this paper, biomass stalk ashes were acquired through microthermal incineration of rape stalks (500 ℃ for 5 h), and the stalk ash samples were obtained through grinding and screening of the preliminary ashes. Stalk ash was used as the concrete admixture to replace the same quantity of cement to produce experimental specimens, different amounts of rape stalk ash admixtures and concrete water-binder ratios were selected as the affecting variables of concrete property, and the effects of stalk ash on the concrete were discussed. The results indicated that when the amount of rape stalk ash admixture was 5%, the splitting tensile strength property of stalk ash concrete was 12% lower and the compression resistance was only 4% lower than normal concrete (28 d); when the amount of rape stalk ash admixture was 10%, the splitting tensile strength property of rape stalk ash concrete was 25% lower and the compression resistance was 8% lower than normal concrete; when the amount of admixture was 15%, the compression resistance was 13% lower than normal concrete, which met the use requirement of structural concrete (Code for Design of Reinforced Concrete Structures); and when the amount of rape stalk ash admixture was 20%, the splitting tensile strength property of rape stalk ash concrete was 45% lower and the compression resistance was 23% lower than normal concrete. And the rate of descent accelerated when the amount of rape stalk ash admixture exceeded over 20%. The experiments proved that stalk ash was somewhat water-absorbing, and therefore the best water-binder ratio of stalk ash concrete fell in the range of 0.45-0.55, and the best water-binder ratio was 0.5 for rape stalk ash concrete. The relationship between straw ash concrete's tensile and compressive properties was given, which was further verified by comparing with other concrete's tensile and compressive strength formulas including American Concrete Association's recommended formula, Yuan Biao's empirical formulas and Wang Dehui's empirical formulas. The splitting tensile strength ratio could be concluded from the fitting of experimental data, and the fitting result was good. Due to the lack of experimental data of straw ash concrete, however, the next step of the research focused on the verification of the reasonability of this relationship. The method of the random function was introduced to conduct the random sampling on the experimental data. And the prediction method of wavelet neural network was used to improve the training samples, and automatically modify the network structure parameters and predict stalk ash concrete's experimental data. Then, the predicted data were used for verifying the tensile and compressive formulas proposed in this study and the predicted and the test data were compared for error calculation. The wavelet neural network forecast data indicated that the maximum forecast error was 8% and the minimum was only 0.8%, so it was appropriate to forecast the mechanical property of stalk ash concrete.
  • [1] Nozahic V, Amziane S, Torrent G, et al. Design of green concrete made of plant-derived aggregates and a pumice-lime binder[J].Cement and Concrete Composites, 2012, 34(2): 231-241.
    [2] 韩鲁佳,闫巧娟,刘向阳,等. 中国农作物秸秆资源及其利用现状[J]. 农业工程学报,2002,18(3):87-91.Han Lujia, Yan Qiaojuan, Liu Xiangyang, et al. Straw resources and their utilization in China[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2002, 18(3):87-91. (in Chinese with English abstract)
    [3] Bricik H, Ak?z F, Berktay I, et al. Study of pozzolanic properties of wheat straw ash[J]. Cement and Concrete Research, 1999, 29(5): 637-643.
    [4] 欧阳东,陈楷. 低温焚烧稻壳灰的显微结构及其化学活性[J]. 硅酸盐学报,2003,31(11):1121-1124.Ou Yangdong, Chen Kai. Microstructure and chemical activity of rice husk ash burned at low temperature[J]. Journal of the Chinese Ceramic Society, 2003, 31(11): 1121-1124. (in Chinese with English abstract)
    [5] 欧阳东. 纳米SiO2低温稻壳灰用于混凝土的研究[J]. 建筑石膏与胶凝材料,2003(8):7-8.Ou Yangdong. Research on nano SiO2 low temperature rice husk ash used in concrete[J]. Gypsum and Cement Building, 2003(8): 7-8. (in Chinese with English abstract)
    [6] 刘巧玲,刘保华,张强,等. 灰化条件对油菜秸秆灰分特性的影响[J]. 湖南农业大学学报,2013,39(1):107-110.Liu Qiaoling, Liu Baohua, Zhang Qiang, et al. Influence of ashing conditions on the ash characteristics of rape straw[J]. Journal of Hunan Agricultural University, 2013, 39(1): 107-110. (in Chinese with English abstract)
    [7] 张强,李耀庄,刘保华. 秸秆资源在混凝土中应用的研究进展[J]. 硅酸盐通报,2015,34(4):1000-1003.Zhang Qiang, Li Yaozhuang, Liu Baohua. Research progress for application of straw resources in concrete[J]. Bulletin of the Chinese Ceramic Society, 2015, 34(4): 1000-1003. (in Chinese with English abstract)
    [8] 张强,刘保华,刘巧玲,等. 双掺油菜秸秆灰分和硅粉对混凝土性能的影响[J]. 湖南农业大学学报,2014,40(3):334-336.Zhang Qiang, Liu Baohua, Liu Qiaoling, et al. Effect of rape straw ash and silica fume admixture on concrete performance[J]. Journal of Hunan Agricultural University, 2014, 40(3): 334-336. (in Chinese with English abstract)
    [9] 中华人民共和国住房和城乡建设部. 普通混凝土配合比设计技术规程(JGJ55-2011)[S]. 北京:中国建筑工业出版社,2011:25-35.
    [10] 中华人民共和国住房和城乡建设部. 普通混凝土力学性能力学试验方法标准(GB/T 50081-2002)[S]. 北京:中国建筑工业出版社,2002:15-20.
    [11] Plekhanova T A, Keriene J, Gailius A. Structural, physical and mechanical properties of modified wood-magnesia composite[J]. Construction and Building Materials, 2007, 21(9): 1833-1838.
    [12] Lee A W C, Short P H. Pretreating hard wood for cement- bonded excelsior board[J]. Forest Prod J 1989, 39(10): 68-70.
    [13] Souza M R. Effect of carbon dioxide gas in manufacturing cement-bonded particleboard[D]. Moscow: University of Idaho, 1992.
    [14] Sarigahuti M, Shah S P, Vinson K D. Shrinkage cracking and durability characteristics of cellulose fibre reinforced concrete[J]. ACI Material Journal, 1993, 90(4): 309-318.
    [15] 闫长旺,贾金青,张菊,等. 钢纤维增强超高强混凝土拉压比试验研究[J]. 大连理工大学学报,2012,52(3):233-238.Yan Changwang, Jia Jinqing, Zhang Ju, et al. Experimental study of ratio between splitting tensile strength and compressive strength for steel fiber reinforced ultra high strength concrete[J]. Journal of Dalian University of Technology, 2012, 52(3): 233-238. (in Chinese with English abstract)
    [16] 夏广政,夏冬桃,徐礼华,等. 混杂纤维增强高性能混凝土拉压比试验研究[J]. 重庆建筑大学学报,2007,29(5):103-106.Xia Guangzhen, Xia Dongtao, Xu Lihua, et al. Evaluation of ratio between splitting tensile strength and compressive strength for hybrid fiber reinforced HPC[J]. Journal of Chongqing Jianzhu University, 2007, 29(5): 103-106.
    [17] ACI Committee 363. State-of-Art Report on High-Strength Concrete[R]. Detroit, 1992, 363R1-363R55.
    [18] 王德辉,尹健,彭松枭. 再生混凝土抗压强度与劈裂抗拉强度相关性研究[J]. 粉煤灰,2009(2):3-6.Wang Dehui, Yin Jian, Peng Songxiao. Study of relevance of compressive strength with splitting tensile strength of recycled concrete[J]. Coal ash, 2009(2): 3-6. (in Chinese with English abstract)
    [19] 袁飚. 再生混凝土抗压抗拉强度取值研究[D]. 上海:同济大学,2007.Yuan Biao. On Values of Compressive Strength and Tensile Strength of Recycled Aggregate Concrete[J]. Shanghai: Tongji University, 2007. (in Chinese with English abstract)
    [20] 刘巧玲. 秸秆基混凝土的性能研究[D]. 长沙:湖南农业大学,2013.Liu Qiaolin. Study on the Characteristics of Straw-Based Concrete[D]. Changsha: Hunan Agricultural University, 2013. (in Chinese with English abstract)
    [21] 张强. 油菜秸秆混凝土性能的试验研究[D]. 长沙:湖南农业大学,2014.Zhang Qiang. Performance Test on the Rape Straw Concrete[D]. Changsha: Hunan Agricultural University, 2014. (in Chinese with English abstract)
    [22] 黄伟,刘保华,齐臻,等. 油菜秸秆灰发混凝土抗硫酸盐的侵蚀性能[J]. 湖南农业大学学报,2016,42(2):222-224.Huang Wei, Liu Baohua, Qi Zhen, et al. Erosion resistance on the sulfate for the rape straw doped ash concrete[J]. Journal of Hunan Agricultural University, 2016, 42(2): 222-224. (in Chinese with English abstract)
    [23] 余志武,丁发兴. 混凝土受压力学性能统一计算方法[J].建筑结构学报,2003,24(4):41-46.Yu Zhiwu, Ding Faxing. Unified calculation method of compressive mechanical properties of concrete[J]. Journal of Building Structures, 2003, 24(4): 41-46. (in Chinese with English abstract)
    [24] 侯霞. 小波神经网络若干关键问题研究[D]. 南京:南京航空航天大学,2006.Hou Xia. Research on Key Technologies of Wavelet Neural Network[D]. Nanjin: Nanjing University of Aeronautics and Astronautics, 2006. (in Chinese with English abstract)
    [25] Zhang Q H, Benveniate A. Wavelet networks[J]. IEEE Trans Neural Networks, 1992, 3(6): 889-898.[26] 曹维时,张春庆,王金星,等. 离散小波变换和BP神经网络识别玉米种子纯度[J]. 农业工程学报,2012,28(增刊2):253-258Cao Weishi, Zhang Chunqing, Wang Jinxin, et al. Purity identification of maize seed based on discrete wavelet transform and BP neural network[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2012, 28(Supp.2): 253-258. (in Chinese with English abstract)
    [26] 李君,陈佳文,廖伟丽,等. 基于小波神经网络的轴流泵性能预测[J]. 农业工程学报,2016,32(10):47-53.Li Jun, Chen Jiawen, Liao Weili, et al. Performance prediction of axial pump based on wavelet neural network[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2016, 32(10): 47-53. (in Chinese with English abstract)
    [27] 肖建庄,许向东,范玉辉. 再生混凝土收缩徐变试验及徐变神经网络预测[J]. 建筑材料学报,2013,16(5):752-757.Xiao Jianzhuang, Xu Xiangdong, Fan Yuhui. Shrinkage and creep of recycled aggregate concrete and their prediction by ANN method[J]. Journal of Building Materials, 2013, 16(5): 752-757. (in Chinese with English abstract)
计量
  • 文章访问数:  2975
  • HTML全文浏览量:  0
  • PDF下载量:  832
  • 被引次数: 0
出版历程
  • 收稿日期:  2015-09-21
  • 修回日期:  2016-09-24
  • 发布日期:  2017-01-14

目录

    /

    返回文章
    返回