硫酸盐侵蚀下混凝土细观模型及参数表征

刘新荣; 陈海; 庄炀; 周小涵; 肖宇

doi:10.3724/j.gyjzG23042807

硫酸盐侵蚀下混凝土细观模型及参数表征

doi: 10.3724/j.gyjzG23042807

刘新荣¹,
陈海¹,
庄炀^1, ,,
周小涵¹,
肖宇²

1. 重庆大学土木工程学院, 重庆 400045;
2. 重庆城投基础设施建设有限公司, 重庆 400010

基金项目:

浙江省交通运输厅科技计划项目(2020028)。

详细信息

作者简介:
刘新荣,博士,教授,主要从事隧道工程、纤维混凝土、地下空间开发利用等方向的研究,liuxrong@126.com。

通讯作者:
庄炀,博士,zhuangyangchn@126.com。

计量
- 文章访问数: 19
- HTML全文浏览量: 0
- PDF下载量: 0
- 被引次数: 0
出版历程
- 收稿日期: 2023-04-28
- 网络出版日期: 2024-10-18

Mesoscopic Model and Parameter Characterization of Concrete Under Sulfate Attack

1. School of Civil Engineering of Chongqing University, Chongqing 400045, China;
2. Chongqing City Infrastructure Construction Ltd., Chongqing 400010, China

摘要

摘要: 硫酸盐侵蚀是导致混凝土损伤劣化的主要因素之一,其中预测硫酸根离子在混凝土中的时空分布是研究混凝土损伤劣化的基础。相比于宏观模型,细观模型更能反映硫酸根离子在混凝土中的实际运移规律,但存在建模复杂、计算时间漫长等问题。将混凝土看作由水泥砂浆、界面层、粗骨料、宏观缺陷组成的四项复合材料,构建了混凝土二维细观模型,进而研究对比宏、细观模型对数值模拟的影响,并定义细观参数使宏观模型达到细观模型的模拟效果。结果表明:1)细观模型随机性对硫酸根离子扩散的影响可以通过取多组模型的平均值消除;2)含石量的增加伴随着侵蚀深度加深和同一位置处硫酸根离子浓度降低,且随着深度的增加,这种现象更加明显;3)细观参数随含石量的增加而增大。
- 硫酸根侵蚀 /
- 细观模型 /
- 数值模拟 /
- 含石量 /
- 细观参数
Abstract: Sulfate attack is one of the main factors leading to the damage and deterioration of concrete. The prediction of the temporal and spatial distribution of sulfate ions in concrete is the basis of studying the damage and deterioration of concrete. Compared with the macroscopic model, the mesoscopic model can better reflect the actual migration law of sulfate ion in concrete, but there are some problems such as complex modeling and long calculation time. In this paper, concrete was regarded as four composite materials composed of cement mortar, interfacial layer, coarse aggregate and macro defects, and a two-dimensional mesoscopic model of concrete was constructed. Then, the effects of macro and mesoscopic models on numerical simulation were studied and compared, and mesoscopic parameters were defined to make the macroscopic model achieve the simulation effect of the mesoscopic model. The results showed that: 1) the influence of mesoscopic model randomness on sulfate ion diffusion could be eliminated by taking the average value of multiple models; 2) the increase of stone content was accompanied by the deepening of erosion depth and the decrease of sulfate ion concentration at the same location, and this phenomenon was more obvious with the increase of depth; 3) the mesoscopic parameters increased with the increase of stone content.
- sulfate attack /
- mesoscopic model /
- numerical simulation /
- stone content /
- mesoscopic parameter

HTML全文

参考文献(30)

[1]	肖力光,李正鹏.混凝土耐久性的影响因素及研究进展[J].混凝土,2022,398(12):1-5 ,16.
[2]	LORENTE S, YSSORCHE-CUBAYNES M P, AUGER J. Sulfate transfer through concrete: migration and diffusion results[J]. Cement & Concrete Composites, 2011, 33(7):735-741.
[3]	YAN X C, JIANG L H, ZHU P H, et al. Effect of compressive fatigue on sulfate ion diffusion in standard-cured and steam-cured concrete containing slag[J]. Journal of Materials in Civil Engineering,2022,34(7),04022130.
[4]	齐晓,肖前慧,邱继生,等.冻融与硫酸盐侵蚀共同作用下再生混凝土的微观结构研究[J].硅酸盐通报,2023,42(4):1194-1204.
[5]	乔宏霞,乔国斌,路承功.硫酸盐环境下基于COMSOL混凝土损伤劣化模型[J].华中科技大学学报(自然科学版),2021,49(3):119-125.
[6]	ZUO X, WEI S, HUA L, et al. Modeling of diffusion-reaction behavior of sulfate ion in concrete under sulfate environments[J]. Computers & Concrete, 2012, 10(1):47-51.
[7]	GUAN B, CHEN S, SHENG Y, et al. Numerical simulation of sulfate ion migration in cement concrete under corrosion fatigue[J]. International Journal of Pavement Research and Technology, 2012, 5(3):169-175.
[8]	ZHUANG Y, LIU X, ZHOU X, et al. Diffusion model of sulfate ions in concrete based on pore change of cement mortar and its application in mesoscopic numerical simulation [J]. Structure Concrete, 2022, 23(6): 3786-3803.
[9]	PAN Z C, CHEN A R, MA R J, et al. Three-dimensional lattice modeling of concrete carbonation at meso-scale based on reconstructed coarse aggregates[J]. Construction Building Material,2018(192): 253-271.
[10]	SUN D, WU K, SHI H, et al. Effect of interfacial transition zone on the transport of sulfate ions in concrete[J]. Construction Building Material,2018(192): 28-37.
[11]	WANG H L, CHEN Z W, LI H D, et al. Numerical simulation of external sulphate attack in concrete considering coupled chemo-diffusion-mechanical effect[J/OL]. Construction Building Material,2021(292)[2023-04-28]. https://doi.org/10.1016/j.conbuildmat.2021.123325.
[12]	SCHLANGEN E, VANMIER J G M. Simple lattice model for numerical-simulation of fracture of concrete materials and structures[J]. Material Structure,1992, 25(153): 534-542.
[13]	WANG Z M, KWAN A K H, CHAN H C. Mesoscopic study of concrete I: generation of random aggregate structure and finite element mesh[J]. Computers & Structures,1999, 70(5): 533-544.
[14]	ZHU Z, XU W, CHEN H. The fraction of overlapping interphase around 2D and 3D polydisperse non-spherical particles: Theoretical and numerical models[J]. Comput Method Appl M, 2019, 345: 728-747.
[15]	ZUO X B, LI H, SUN W, et al. Geometrical model for tortuosity of transport paths in hardened cement pastes[J]. Advance Cement Research,2012, 24(3): 145-154.
[16]	CAO T, ZHANG L, SUN G, et al. Model for predicting the tortuosity of transport paths in cement-based materials[J/OL]. Materials,2019, 12(21)[2023-04-28]. https://doi.org/10.3390/ma12213623.
[17]	IDIART A E, LOPEZ C M, CAROL I. Chemo-mechanical analysis of concrete cracking and degradation due to external sulfate attack: a meso-scale model [J]. Cement Concrete Comp, 2011,33(3):411-423.
[18]	CHEN H, HU H, QIAN C. Study on the deterioration process of cement-based materials under sulfate attack and drying-wetting cycles [J]. Structure Concrete, 2018,19 (4): 1225-1234.
[19]	QIAN C, NIE Y, CAO T. Sulphate attack-induced damage and micro-mechanical properties of concrete characterized by nano-indentation coupled with X-ray computed tomography [J]. Structure Concrete, 2016,17 (1): 96-104.
[20]	SUN C, CHEN J, ZHU J, et al. A new diffusion model of sulfate ions in concrete [J]. Construction Building Material, 2013,39: 39-45.
[21]	CHEN J, JIANG M, ZHU J. Damage evolution in cement mortar due to erosion of sulphate [J]. Corrosion Sci, 2008,50 (9): 2478-2483.
[22]	刘新荣, 杜立兵, 邓志云,等. 基于闵科夫斯基差和优化波前法的二维天然堆石料生成方法及应用 [J]. 岩石力学与工程学报, 2020,39 (9): 1832-1846.
[23]	DU L, LIU X, HAN Y, et al. Optimized advance front method of packing dense ellipse for generating the convex polygon structure statistically equivalent with real material [J/OL]. Computational Particle Mechanics,2020[2023-04-28]. https://doi.org/10.1007/s40571-020-00370-1.
[24]	LI C, ZHANG D, DU S, et al. Computed tomography based numerical simulation for triaxial test of soil-rock mixture [J]. Computers and Geotechnics, 2016,73: 179-188.
[25]	孙超. 基于侵蚀损伤演化的混凝土中硫酸根离子扩散模型[D].宁波:宁波大学,2012.
[26]	LIAO K, ZHANG Y, ZHANG W, et al. Modeling constitutive relationship of sulfate-attacked concrete[J]. Construction Building Material, 2020, 260:1-20.
[27]	高润东. 复杂环境下混凝土硫酸盐侵蚀微—宏观劣化规律研究[D].北京:清华大学,2010.
[28]	TIAN B, COHEN M. Does gypsum formation during sulfate attack on concrete lead to expansion?[J]. Cement Concrete Research,2000,30(1):117-123.
[29]	陈艾荣, 潘子超. 细观尺度上的钢筋混凝土结构耐久性数值模拟 [M]. 北京:科学出版社,2016.
[30]	PAPADAKIS V G, VAYENAS C G, FARDIS M N. Fundamental modeling and experimental investigation of carbonation[J]. ACI Material Journal,1991,88(4):363-373.