Experimental study and multi-physics modelling of concrete under supercritical carbonation

被引:20
|
作者
Bao, Hao [1 ,2 ]
Yu, Min [1 ]
Xu, Lihua [1 ]
Saafi, Mohamed [3 ]
Ye, Jianqiao [3 ]
机构
[1] Wuhan Univ, Sch Civil Engn, Wuhan, Hubei, Peoples R China
[2] China Three Gorges Univ, Coll Civil Engn & Architecture, Yichang, Peoples R China
[3] Univ Lancaster, Dept Engn, Lancaster LA1 4YR, England
基金
中国国家自然科学基金;
关键词
Carbonation depth; Concrete; Irregularity; Random aggregate model; Supercritical carbonation; ACCELERATED CARBONATION; CEMENT PASTE; AGGREGATE; RESISTANCE; CO2; MORTAR; PENETRATION; MECHANISM; PRESSURE; MOISTURE;
D O I
10.1016/j.conbuildmat.2019.116680
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper presents both experimental study and multi-physics modelling of supercritical carbonation of concrete. A novel mathematical model is proposed to simulate random distribution of coarse aggregates in concrete. Supercritical carbonation tests of concrete are carried out and the measured carbonation depth is compared with the simulation results. On the basis of previous research on random field of porosity and supercritical carbonation of cement mortar, a new supercritical carbonation model is developed to study the effect of randomly distributed coarse aggregates and porosity on the irregularities of carbonation depth of concrete. The effect of the type, volume fraction and gradation of coarse aggregates and the porosity of ITZ on the distribution of irregular carbonation depth are also studied. The results demonstrate that the proposed two-dimensional random coarse aggregates model can be used satisfactorily to generate different types, volume fraction and gradation of coarse aggregates with the designed mix proportion within a confined space. The method provides a better and more realistic predictive model for simulating carbonation depth of concrete due to random distribution of coarse aggregates and porosity. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Multi-physics modelling for interconnection technology
    Bailey, C
    Wheeler, D
    Cross, M
    ADVANCES IN COMPUTATIONAL MECHANICS WITH HIGH PERFORMANCE COMPUTING, 1998, : 135 - 139
  • [2] Experimental Multi-Physics Measurement of Neuronal Responses under Trauma
    Malboubi, Majid
    Jerusalem, Antoine
    BIOPHYSICAL JOURNAL, 2016, 110 (03) : 149A - 149A
  • [3] Multi-physics modelling of a compliant humanoid robot
    Alexandra A. Zobova
    Timothée Habra
    Nicolas Van der Noot
    Houman Dallali
    Nikolaos G. Tsagarakis
    Paul Fisette
    Renaud Ronsse
    Multibody System Dynamics, 2017, 39 : 95 - 114
  • [4] Multi-physics modelling of a compliant humanoid robot
    Zobova, Alexandra A.
    Habra, Timothee
    Van der Noot, Nicolas
    Dallali, Houman
    Tsagarakis, Nikolaos G.
    Fisette, Paul
    Ronsse, Renaud
    MULTIBODY SYSTEM DYNAMICS, 2017, 39 (1-2) : 95 - 114
  • [5] Modelling Transport Phenomena in a Multi-physics Context
    Marra, Francesco
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2010 (ICCMSE-2010), 2015, 1642 : 293 - 296
  • [6] Coupled Multi-Physics Modelling in Continuum Mechanics
    Murashkin, E., V
    Radayev, Y. N.
    FUNDAMENTAL AND APPLIED PROBLEMS OF MECHANICS - 2017, 2018, 468
  • [7] Multi-physics modelling of aluminium reduction cells
    Cross, M
    Pericleous, K
    Leboucher, L
    Croft, TN
    Bojarevics, V
    Williams, A
    LIGHT METALS 2000, 2000, : 285 - 289
  • [8] Towards a multi-physics modelling framework for thrombolysis under the influence of blood flow
    Piebalgs, Andris
    Xu, X. Yun
    JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2015, 12 (113)
  • [9] Comprehensive study of the cold-temperature directed energy deposition: Multi-physics modelling and experimental validation
    Kishore, M. N.
    Qian, Dong
    Lu, Hongbing
    Li, Wei
    JOURNAL OF MANUFACTURING PROCESSES, 2024, 112 (290-301) : 290 - 301
  • [10] Study on performance of electrostatic precipitator under multi-physics coupling
    Bing Chen
    Hongjiao Li
    Yuzhong He
    Baiqian Liu
    Lijie Zhang
    Environmental Science and Pollution Research, 2019, 26 : 35023 - 35033