Source Journal of Chinese Scientific and Technical Papers
Included as T2 Level in the High-Quality Science and Technology Journals in the Field of Architectural Science
Core Journal of RCCSE
Included in the CAS Content Collection
Included in the JST China
Indexed in World Journal Clout Index (WJCI) Report
Volume 51 Issue 7
Nov.  2021
Turn off MathJax
Article Contents
Abstract
References
Article Navigation >  INDUSTRIAL CONSTRUCTION  > 2021  >  51(7): 156-161
WU Xianguo, CHEN Bin, YANG Sai, DU Ting, QIN Yawei, CHEN Hongyu. RESEARCH ON OPTIMIZATION OF PROPORTIONS FOR HIGHLY DURABLE CONCRETE MIX BASED ON RF-NSGA-Ⅱ ALGORITHM[J]. INDUSTRIAL CONSTRUCTION, 2021, 51(7): 156-161. doi: 10.13204/j.gyjzG20070812
Citation: WU Xianguo, CHEN Bin, YANG Sai, DU Ting, QIN Yawei, CHEN Hongyu. RESEARCH ON OPTIMIZATION OF PROPORTIONS FOR HIGHLY DURABLE CONCRETE MIX BASED ON RF-NSGA-Ⅱ ALGORITHM[J]. INDUSTRIAL CONSTRUCTION, 2021, 51(7): 156-161. doi: 10.13204/j.gyjzG20070812
shu

RESEARCH ON OPTIMIZATION OF PROPORTIONS FOR HIGHLY DURABLE CONCRETE MIX BASED ON RF-NSGA-Ⅱ ALGORITHM

doi: 10.13204/j.gyjzG20070812

  • 1. School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;

  • 2. School of civil Engineering and Environment, Nanyang Technological University, Singapore 639798, Singapore

  • Received Date: 2020-07-08
    Available Online: 2021-11-11
    Abstract
  • The problem of insufficient durability for concrete has always been a serious in the complex environment of high cold areas. It is of great significance to design the proportion of concrete mix to ensure the good working performances and durability of concrete. A RF-NSGA-II algorithm was adopted. The multi-objective model of optimization design for concrete mix was constructed, in which the two important durability indexes of concrete:frost resistance and impermeability were taken as the objectives, so as to achieve high-precision prediction of the relative elastic moduli, chloride ion permeability coefficient and optimal proportion of concrete mix. Firstly, based on the data of in real time concrete material and mix proportions, the prediction models of random forest (RF) for frost resistance and impermeability of concrete was constructed respectively. Then,the regression prediction function was taken as the objective function, and the constraint range of factors for mix proportions was determinal according to Specification for Mix Proportion Design or Ordinary Concrete(JGJ 55-2011) and engineering requirements. Finally,the NSGA-Ⅱ algorithm was used for multi-objective optimization to obtain the optimal mix proportion. The results showed that the prediction model for relative elastic moduli in time and chloride ion permeability coefficients of concrete was very good, the error of φRMSE was 0.04, the coefficient of determination R2 was in time as 0.985. Through optimization, the optimization target value of the proportion concrete mix met the requirements of durability and mechanical tests, which was consistent with the actual situation of the project.
    • FullText(HTML)
    • References(14)
  • [1]
    冯忠居, 陈思晓, 徐浩, 等. 基于灰色系统理论的高寒盐沼泽区混凝土耐久性评估[J]. 交通运输工程学报, 2018, 18(6):18-26.
    [2]
    蒋正武, 徐春普, 张盛. 多目标性能需求的C50混凝土配合比优化设计方法[J]. 建筑材料学报, 2019, 22(4):499-505.
    [3]
    徐存东, 谢佳琳, 田子荀, 等. 基于粗糙集理论的混凝土抗冻耐久性影响因素评价[J]. 中国农村水利水电, 2017(7):131-136.
    [4]
    LIU R Y, CHI Y, CHEN S Y, et al. Influence of Pore Structure Characteristics on the Mechanical and Durability Behavior of Pervious Concrete Material Based on Image Analysis[J]. International Journal of Concrete Structures and Materials, 2020, 14(1). http://doi.org/10.1186/540069-020-00404-1.
    [5]
    VÁZQUEZ-RODRÍGUEZ F J, ELIZONDO-VILLAREAL N, VERÁSTEGUI-LUZ H, et al. Effect of Mineral Aggregates and Chemical Admixtures as Internal Curing Agents on the Mechanical Properties and Durability of High-Performance Concrete[J]. Materials (Basel, Switzerland), 2020, 13(9).https:/doi.org/10.3390/ma13092090.
    [6]
    赵士豪, 林喜华, 车玉君, 等. 基于DE响应面分析的C100超高性能混凝土配合比优化设计[J]. 混凝土与水泥制品, 2018(8):24-28.
    [7]
    张祖雪, 邹昀, 赵桃干, 等. 玻璃瓷粒轻骨料混凝土力学性能试验及配合比优化分析[J]. 硅酸盐通报, 2019, 38(7):2228-2234.
    [8]
    焦楚杰, 崔力仕, 高仁辉, 等. 基于性价比优化的混凝土配方设计模型[J]. 建筑材料学报, 2020, 23(6):1321-1327.
    [9]
    韩斌, 吉坤, 胡亚飞, 等. ANN-PSO-GA模型在湿喷混凝土强度预测及配合比优化中的应用[J]. 采矿与安全工程学报, 2021, 38(3):1-9.
    [10]
    王静娜. 基于随机森林算法的二手车估价模型研究[D]. 北京:北京交通大学, 2019.
    [11]
    杨思琪. 随机森林模型在太原市细颗粒物浓度预测中的应用[D]. 太原:太原理工大学, 2017.
    [12]
    巩玲君, 张纪海. 基于NSGA-Ⅱ的应急生产任务多目标优化模型及算法研究[J]. 运筹与管理, 2019, 28(12):7-13.
    [13]
    GUNJAN, SHARMA A K, VERMA K. NSGA-Ⅱ with ENLU Inspired Clustering for Wireless Sensor Networks[J]. Wireless Networks, 2020, 26(5):3637-3655.
    [14]
    魏勤, 陈仕军, 黄炜斌, 等. 利用随机森林回归的现货市场出清价格预测方法[J]. 中国电机工程学报, 2021, 41(4):1360-1367

    , 1542.
    • Relative Articles

  • Relative Articles

    [1]XIA Jingliang, CAO Changwei, SUN Jun, GUAN Qingfeng, ZHOU Yongxiang. EFFECT OF CURING REGIMES ON CHLORIDION PENETRATION OF WHITE HIGH-STRENGTH CONCRETE[J]. INDUSTRIAL CONSTRUCTION, 2021, 51(6): 176-180,8. doi: 10.13204/j.gyjzG20072207
    [2]CAO Yuxin. PROPORTION OPTIMIZATION DESIGN OF STEEL FIBER REINFORCED CONCRETE MIX FOR TUNNEL SEGMENTS[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(8): 101-104,159. doi: 10.13204/j.gyjzG20010102
    [3]WU Xianguo, YANG Sai, CHEN Hongyu, GAO Fei, HUANG Hanyang. PREDICTION OF EARLY CRACK RESISTANCE OF CONCRETE BY SUPPORT VECTOR MACHINE BASED ON RANDOM FOREST[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(9): 99-105,167. doi: 10.13204/j.gyjzG20050903
    [5]Zheng Shansuo, Wang Fan, Yang Wei, Lou Huanjuan. RESEARCH ON MULTI-OBJECTIVE OPTIMIZATION DESIGN OF STEEL REINFORCED HIGH STRENGTH CONCRETE FRAME COLUMN[J]. INDUSTRIAL CONSTRUCTION, 2014, 44(05): 56-59.
    [6]Zhao Huimin, Wang Jun, Liu Weiqing, Fang Hai, Zhou Hongwei. EXPERIMENTAL STUDY OF DURABILITY OF GFRP UNDER COUPLING EFFECT OF CHLORIDE ION WITH LOADING[J]. INDUSTRIAL CONSTRUCTION, 2013, 43(10): 102-105. doi: 10.13204/j.gyjz201310022
    [7]Sheng Li, Yao Jian. EXPERIMENTAL STUDY ON THE PENETRATION OF CHLORIDE IONS INTO HIGH PERFORMANCE CONCRETE[J]. INDUSTRIAL CONSTRUCTION, 2011, 41(11): 142-145,149. doi: 10.13204/j.gyjz201111031
    [8]Tao Qinglin, Zheng Shansuo, Hu Yi, Li Zhiqiang, Wang Fan. STUDY ON MULTI-OBJECTIVE OPTIMIZATION DESIGN METHOD FOR SRC COLUMNS[J]. INDUSTRIAL CONSTRUCTION, 2010, 40(11): 126-130. doi: 10.13204/j.gyjz201011030
    [9]Hou Lina, Yao Qianfeng, Huang Wei, Jing Gang, Chen Guoxin. MULTI-OBJECTIVE OPTIMIZATION DESIGN METHOD OF MULTI-RIBBED COMPOSITE WALL BASED ON GA[J]. INDUSTRIAL CONSTRUCTION, 2009, 39(10): 48-51. doi: 10.13204/j.gyjz200910013
    [10]Zhang Junzhi, Wang Jianze, Zhou Jianmin, Zheng Hui. STUDY ON CHLORIDE IONS EROSION AND RANDOMNESS FOR EXISTING CONCRETE IN NATURAL ENVIRONMENT[J]. INDUSTRIAL CONSTRUCTION, 2009, 39(3): 77-80. doi: 10.13204/j.gyjz200903022
    [11]Wang Ji-liang, Zhou Ming-kai, Li Bei-xing, He Tu-sheng, Ke Guo-ju. EFFECTS OF MICRO-FINES ON DURABILITY OF MANUFACTURED SAND CONCRETE[J]. INDUSTRIAL CONSTRUCTION, 2007, 37(12): 109-112. doi: 10.13204/j.gyjz200712026
    [12]Sui Jieying, Cheng Wenrang, Chang Yejun, Tang Chunrui. EXPERIMENTAL RESEARCH ON THE DURABILITY OF VISCOELASTIC DAMPERS[J]. INDUSTRIAL CONSTRUCTION, 2006, 36(2): 5-7. doi: 10.13204/j.gyjz200602002
    [13]Hu Yanjun, . THE TIME-DEPENDENT CHLORIDE PERMEABILITY OF BLENDED CONCRETE[J]. INDUSTRIAL CONSTRUCTION, 2006, 36(12): 9-11,8. doi: 10.13204/j.gyjz200612003
    [14]Ma Kunlin, Xie Youjun, Long Guangcheng, Shi Mingxia. STUDY ON PREPARATION OF HIGH PERFORMANCE CONCRETE WITH IMPERMEABILITY TO CHLORIDE IONS[J]. INDUSTRIAL CONSTRUCTION, 2006, 36(11): 90-93. doi: 10.13204/j.gyjz200611022
    [15]Song Xiaoruan, Zhang Yankun, Si Jian. CALCULATION OF YOUNG'S MODULUS FOR LYTAG CONCRETE[J]. INDUSTRIAL CONSTRUCTION, 2006, 36(2): 61-63. doi: 10.13204/j.gyjz200602018
    [16]Liu Zhiyong, Sun Wei, Yang Dingyi, Zhou Xingang. RESEARCH AND PROGRESS OF MODELING CHLORIDE INGRESS FOR CORROSION RISK PREDICTION OF MARINE CONCRETE[J]. INDUSTRIAL CONSTRUCTION, 2004, 34(6): 61-64. doi: 10.13204/j.gyjz200406020
    [17]Xiao Jianzhuang, Lu Fuhai, Sun Zhenping. STUDY ON CHLORIDE ION PERMEABILITY OF HIGH PERFORMANCE CONCRETE WITH DESALTED SEA SAND[J]. INDUSTRIAL CONSTRUCTION, 2004, 34(5): 4-6,14. doi: 10.13204/j.gyjz200405002
    [18]Gao Danying, Tang Jiyu, Zhao Jun. A EXPERIMENTAL STUDY ON ELASTIC MODULUS OF FIBER REINFORCED HIGH-STRENGTH CONCRETE[J]. INDUSTRIAL CONSTRUCTION, 2004, 34(10): 47-49. doi: 10.13204/j.gyjz200410014
    • Supplements(0)
    • Cited By

  • Cited by

    Periodical cited type(4)

    1. 余沛，邬明亮，高素芹，彭军，李堂. C60聚丙烯纤维混凝土配合比设计与施工控制. 上海建材. 2024(02): 70-73 .
    2. 曹招福. 基于改进遗传算法的机制砂混凝土配合比优化设计. 工程质量. 2024(06): 79-82 .
    3. 刘晓，王思迈，卢磊，陈美祝，翟跃，崔素萍. 机器学习预测混凝土材料耐久性的研究进展. 硅酸盐学报. 2023(08): 2062-2073 .
    4. 马骁含，徐超. 基于SVM的钢纤维再生混凝土配合比优化. 重庆建筑. 2023(10): 61-64 .

    Other cited types(4)

  • Created with Highcharts 5.0.7Amount of accessChart context menuAbstract Views, HTML Views, PDF Downloads StatisticsAbstract ViewsHTML ViewsPDF Downloads2024-042024-052024-062024-072024-082024-092024-102024-112024-122025-012025-022025-030510152025
    Created with Highcharts 5.0.7Chart context menuAccess Class DistributionFULLTEXT: 9.3 %FULLTEXT: 9.3 %META: 89.1 %META: 89.1 %PDF: 1.6 %PDF: 1.6 %FULLTEXTMETAPDF
    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 7.7 %其他: 7.7 %China: 3.3 %China: 3.3 %东莞: 1.6 %东莞: 1.6 %北京: 2.7 %北京: 2.7 %十堰: 1.6 %十堰: 1.6 %南京: 0.5 %南京: 0.5 %南昌: 3.3 %南昌: 3.3 %哈尔滨: 0.5 %哈尔滨: 0.5 %嘉兴: 1.1 %嘉兴: 1.1 %天津: 6.0 %天津: 6.0 %常德: 1.1 %常德: 1.1 %广州: 1.1 %广州: 1.1 %成都: 0.5 %成都: 0.5 %扬州: 3.8 %扬州: 3.8 %文山: 2.7 %文山: 2.7 %新乡: 0.5 %新乡: 0.5 %昆明: 4.9 %昆明: 4.9 %晋城: 0.5 %晋城: 0.5 %朝阳: 0.5 %朝阳: 0.5 %杭州: 0.5 %杭州: 0.5 %武汉: 0.5 %武汉: 0.5 %洛阳: 0.5 %洛阳: 0.5 %济南: 0.5 %济南: 0.5 %深圳: 1.1 %深圳: 1.1 %温州: 1.6 %温州: 1.6 %湖州: 0.5 %湖州: 0.5 %漯河: 4.4 %漯河: 4.4 %芒廷维尤: 9.3 %芒廷维尤: 9.3 %芝加哥: 1.6 %芝加哥: 1.6 %西宁: 18.6 %西宁: 18.6 %西雅图: 0.5 %西雅图: 0.5 %贵阳: 0.5 %贵阳: 0.5 %运城: 8.2 %运城: 8.2 %邯郸: 1.1 %邯郸: 1.1 %郑州: 1.1 %郑州: 1.1 %重庆: 0.5 %重庆: 0.5 %长沙: 2.2 %长沙: 2.2 %阳泉: 1.6 %阳泉: 1.6 %青岛: 0.5 %青岛: 0.5 %其他China东莞北京十堰南京南昌哈尔滨嘉兴天津常德广州成都扬州文山新乡昆明晋城朝阳杭州武汉洛阳济南深圳温州湖州漯河芒廷维尤芝加哥西宁西雅图贵阳运城邯郸郑州重庆长沙阳泉青岛

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (162) PDF downloads(4) Cited by(8)
    Proportional views
    Related

    Journal Online

    Authors' Center

    Links

    Copyright © 《工业建筑》杂志社有限公司 京ICP备11033253号-1

    Supported by: Beijing Renhe Information Technology Co. Ltd     百度统计

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return