Please wait a minute...
材料导报  2018, Vol. 32 Issue (16): 2743-2749    https://doi.org/10.11896/j.issn.1005-023X.2018.16.008
  无机非金属及其复合材料 |
混凝土结构材料非线性本构参数识别算法研究
辛景舟, 周建庭, 肖阳剑, 李晓庆, 苏欣
重庆交通大学土木工程学院,重庆 400074
Research on Parameters Identification Algorithm for Concrete Nonlinearity Constitutive Model
XIN Jingzhou,ZHOU Jianting,XIAO Yangjian,LI Xiaoqing,SU Xin
School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074
下载:  全 文 ( PDF ) ( 4892KB ) 
输出:  BibTeX | EndNote (RIS)      
摘要 针对混凝土材料特性离散性较大、本构参数不确定性较强的问题,本研究提出了基于RSM-CMA的钢筋混凝土结构材料非线性本构参数的识别算法。首先,讨论分析了ABAQUS混凝土损伤塑性模型与规范提供的混凝土本构模型的统一方法,开发了混凝土材料子程序,获取了影响混凝土单轴应力-应变关系的敏感待识别参数,给出了损伤塑性模型屈服面函数与塑性势函数等非识别参数的建议取值。其次,基于响应面法(RSM),实现了结构宏观响应与细观本构参数间隐性关系的显式表达,基于带约束的最小二乘原理,构建目标函数,利用混沌猴群算法(CMA),实现本构参数的优化识别。最后,以钢筋混凝土拱构件的数值仿真为算例,验证了本研究所提算法的准确性。结果表明:抗压强度、峰值压应变是混凝土本构敏感性参数;抗压强度为影响结构极限承载力的最显著本构参数,弹性模量次之,峰值压应变影响最小;本研究所提算法能够较为准确地识别材料的本构参数,有助于获取精确的结构层次宏观响应,可为有限信息下材料本构参数的辨识、获取提供参考。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
辛景舟
周建庭
肖阳剑
李晓庆
苏欣
关键词:  混凝土本构  参数识别  响应面法  混沌猴群算法  损伤塑性模型    
Abstract: In view of the large dispersion of concrete materials and the uncertainty of constitutive parameters, a nonlinear constitutive parameter identification method for reinforced concrete structures based on RSM-CMA was proposed. First, the uniform way between the concrete damage plasticity model with constitutive model provided by the specification was discussed, concrete material subroutine was developed, and the sensitive parameters influencing uniaxial stress-strain curve was obtained, the suggested values of parameters such as yield surface function and plastic potential function in the CDP were given. Secondly, the explicit expression of the implicit relation between the structural macro response and the mesoscopic constitutive parameters was realized on the basis of RSM, and the objective function constructed by the least square principle with constraints was realized by CMA. Finally, a numerical example of a reinforced concrete arch member was given to illustrate the accuracy of the proposed method. Result shows that compressive strength and peak compressive strain are the constitutive sensitivity parameters of concrete. The effects of constitutive parameter on the ultimate bearing capacity decreased in order of compressive strength, the modulus of elasticity and the peak compressive strain. The algorithm presented can accurately identify the constitutive parameters of the material, and is helpful for the accurate acquisition of the macro response at the structural level. It can provide a reference for the identification and acquisition of the constitutive parameters of materials under limited information.
Key words:  concrete constitutive model    parameter identification    response surface method    chaos monkey algorithm    damage plasticity model
               出版日期:  2018-08-25      发布日期:  2018-09-18
ZTFLH:  TU375  
  U444  
基金资助: 国家重点研发计划(2017YFC0806007); 国家杰出青年科学基金(51425801); 重庆市人工智能技术创新重大主题专项重点研发项目(cstc2017rgzn-zdyfX0029)
通讯作者:  周建庭:通信作者,男,1972年生,教授,博士研究生导师,主要从事桥梁检测加固、结构损伤与健康监测方面的研究 E-mail:jtzhou@cqjtu.edu.cn   
作者简介:  辛景舟:男,1989年生,博士研究生,主要从事服役钢筋混凝土性能演化与预测研究 E-mail:xinjz@mails.cqjtu.edu.cn
引用本文:    
辛景舟, 周建庭, 肖阳剑, 李晓庆, 苏欣. 混凝土结构材料非线性本构参数识别算法研究[J]. 材料导报, 2018, 32(16): 2743-2749.
XIN Jingzhou,ZHOU Jianting,XIAO Yangjian,LI Xiaoqing,SU Xin. Research on Parameters Identification Algorithm for Concrete Nonlinearity Constitutive Model. Materials Reports, 2018, 32(16): 2743-2749.
链接本文:  
http://www.mater-rep.com/CN/10.11896/j.issn.1005-023X.2018.16.008  或          http://www.mater-rep.com/CN/Y2018/V32/I16/2743
1 Nie J G, Wang Y H. Comparison study of constitutive model of concrete in abaqus for static analysis of structures[J]. Engineering Mechanics,2013,30(4):59(in Chinese).
聂建国,王宇航.ABAQUS中混凝土本构模型用于模拟结构静力行为的比较研究[J].工程力学,2013,30(4):59.
2 中华人民共和国住房和城乡建设部.混凝土结构设计规范[S].北京:中国建筑工业出版社,2011.
3 Mei Z, Wu B, Yang G. Online parameter indentification of concrete constitutive model[J]. Engineering Mechanics,2016,33(7):108(in Chinese).
梅竹,吴斌,杨格.钢筋混凝土结构材料本构模型参数的在线识别[J].工程力学,2016,33(7):108.
4 Xiong Y B, Chen J J, Hu Y L, et al. Study on the key parameters of the Johnson-Holmquist constitutive model for concrete[J]. Engineering Mechanics,2012,29(1):121(in Chinese).
熊益波,陈剑杰,胡永乐,等.混凝土Johnson-Holmquist本构模型关键参数研究[J].工程力学,2012,29(1):121.
5 Jia S P, Chen W Z, Yu H D, et al. Parameter identification of new elastoplastic damage constitutive model for claystone[J]. Rock & Soil Mechanics,2009,30(12):3607(in Chinese).
贾善坡,陈卫忠,于洪丹,等.泥岩弹塑性损伤本构模型及其参数辨识[J].岩土力学,2009,30(12):3607.
6 Zhou T T, Wang G, Yang Y, et al. A comprehensive method of parameter identification and validation for Bammann-Chiesa-Johnson viscoplasticity constitutive model[J]. Materials Review A: Review Papers,2017,31(3):75(in Chinese).
周婷婷,王罡,杨洋,等.Bammann-Chiesa-Johnson粘塑性本构模型的参数识别方法与验证[J].材料导报:综述篇,2017,31(3):75.
7 Gao J, Huang Z X. Application of multiple-population genetic algorithm in parameter identification for PBX constitutive model[J]. Explosion & Shock Waves,2016,36(6):861(in Chinese).
高军,黄再兴.多种群遗传算法在PBX本构模型参数识别中的应用[J].爆炸与冲击,2016,36(6):861.
8 Zheng H L, Pu X M, Zong C S. Methodology of identification of Johnson-Cook constitutive parameters for cutting processes[J]. Journal of Plasticity Engineering,2016,23(5):197(in Chinese).
郑华林,蒲新明,宗昌生.面向切削加工的Johnson-Cook本构参数识别方法研究[J].塑性工程学报,2016,23(5):197.
9 Zhang J, Wang Q Y, Hu S Y, et al. Parameters verification of concrete damaged plastic model of ABAQUS[J]. Building Structure,2008,38(8):127(in Chinese).
张劲,王庆扬,胡守营,等.ABAQUS混凝土损伤塑性模型参数验证[J].建筑结构,2008,38(8):127.
10 Li M, Li H N. Investigation into dynamic properties of damaged plasticity model for concrete in ABAQUS[J]. Journal of Disaster Prevention & Mitigation Engineering,2011,31(3):299(in Chinese).
李敏,李宏男.ABAQUS混凝土损伤塑性模型的动力性能分析[J].防灾减灾工程学报,2011,31(3):299.
11 Fang Q, Huan Y, Zhang Y D, et al. Investigation into static properties of damaged plasticity model for concrete in ABAQUS[J]. Journal of PLA University of Science & Technology,2007,8(3):254(in Chinese).
方秦,还毅, 张亚栋,等. ABAQUS混凝土损伤塑性模型的静力性能分析[J].解放军理工大学自然科学版,2007,8(3):254.
12 Xiao Y J, Chen Z S, Zhou J T, et al. Concrete plastic-damage factor for finite element analysis: Concept, simulation, and experiment[J]. Advances in Mechanical Engineering,2017,9(9):1.
13 Labibzadeh M, Zakeri M, Shoaib A A. A new method for CDP input parameter identification of the ABAQUS software guaranteeing the uniqueness and precision[J]. International Journal of Structural Integrity,2017,8(2):264.
14 Xiao X H, Lu N W, Liu Y. Fatigue reliability assessment for highway steel bridges under stochastic traffic flow[J]. Journal of Zhejiang University (Engineering Science),2016,50(9):1777(in Chinese).
肖新辉,鲁乃唯,刘扬.随机车流下公路钢桥疲劳可靠度分析[J].浙江大学学报(工学版),2016,50(9):1777.
15 方开泰.均匀设计与均匀设计表[M].北京:科学出版社,1994.
16 Yi T H, Li H N, Zhang X D. Health monitoring sensor placement optimization for Canton Tower using immune monkey algorithm[J]. Structural Control & Health Monitoring,2015,22(1):123.
17 Peng Z R, Yin H, Pan A, et al. Chaotic monkey algorithm based optimal sensor placement[J]. International Journal of Control & Automation,2016,9(1):423.
18 Ma Y, Xu F, Wang L, et al. Influence of corrosion-induced cracking on structural behavior of reinforced concrete arch ribs[J]. Enginee-ring Structures,2016,117:184.
[1] 周婷婷, 王罡, 杨洋, 李遥, 帅茂兵. Bammann-Chiesa-Johnson粘塑性本构模型的参数识别方法与验证*[J]. 《材料导报》期刊社, 2017, 31(3): 75-79.
[2] 张兰芳,刘丽娜,曹 胜. 响应面方法优化碱激发矿渣-石粉水泥砂浆的研究[J]. 《材料导报》期刊社, 2017, 31(24): 15-19.
No Suggested Reading articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed