Research on the Constitutive Relationship of Concrete Under Uniaxial Compression in Freeze–Thaw Environment

2021 ◽  
Author(s):  
Xu Gong ◽  
Hongfa Yu ◽  
Chengyou Wu
2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Xiao Li ◽  
Zhi Shan ◽  
Zhiwu Yu ◽  
Jing Gao ◽  
Jianfeng Mao

Experimental investigations on self-compacting concrete (SCC) under uniaxial monotonic and cyclic compression taking into account the stochastic constitutive relationship were reported and conducted. By introducing a practical method on plasticity characterization into the fiber bundle-plastic chain model, a new constitutive model based on the statistic damage approach for describing the stochastic mechanical responses of SCC under uniaxial compression was proposed. The comparison between the experimental results and the predictions demonstrated that the proposed model was able to characterize the salient features for SCC under both uniaxial monotonic and cyclic compression. Furthermore, the stochastic evolution (SE) of SCC under uniaxial compression and a comparison between the SCC and normally vibrated concrete (NVC) in certain aspects were analyzed and discussed; it was concluded that the stochastic constitutive relationship of SCC under compression can be understood by a media process of transition from microscale to macroscale.


2021 ◽  
Vol 2085 (1) ◽  
pp. 012037
Author(s):  
Xu Yan ◽  
Hao Liu ◽  
Yang Liu ◽  
Jin Xie

Abstract In order to study the influence of fiber parameters on the performance of ordinary hybrid fiber concrete, the corresponding constitutive relationship of hybrid fiber concrete is proposed. The test data are obtained by adding steel tubes to increase the stiffness of the press, and the constitutive relationship of C40 hybrid fiber concrete is proposed. The constitutive relationship is polynomial in the rising section and rational in the falling section.


Rare Metals ◽  
2011 ◽  
Vol 30 (1) ◽  
pp. 81-86 ◽  
Author(s):  
Chaoyang Sun ◽  
Jinrong Liu ◽  
Rui Li ◽  
Qingdong Zhang ◽  
Jianxin Dong

2013 ◽  
Vol 838-841 ◽  
pp. 3-6 ◽  
Author(s):  
Jin Cai Zhu ◽  
Chang Wang Yan ◽  
Shu Guang Liu

Study of Constitutive relations of concrete based on Chinese and foreign scholars. This paper put forward constitutive equation that more close to the stress-strain data of high strength concrete under uniaxial compression, and make a comparison between the theoretical results and experimental data, and promising results were obtained. It can be used as a basis for researching of high strength and high performance concrete of other mechanical properties.


Author(s):  
Yaqing Liu ◽  
Liancun Zheng ◽  
Xinxin Zhang ◽  
Fenglei Zong

In this paper, we present a circular motion of magnetohydrodynamic (MHD) flow for a heated generalized Oldroyd-B fluid. The fractional calculus approach is introduced to establish the constitutive relationship of a viscoelastic fluid. The velocity and temperature fields of the flow are described by fractional partial differential equations. Exact analytical solutions of velocity and temperature fields are obtained by using Hankel transform and Laplace transform for fractional calculus. Results for ordinary viscous flow are deduced by making the fractional order of differential tend to one and zero. It is shown that the fractional constitutive relation model is more useful than the conventional model for describing the properties of viscoelastic fluid.


2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Hongbo Zhao ◽  
Zenghui Huang ◽  
Zhengsheng Zou

Stress-strain relationship of geomaterials is important to numerical analysis in geotechnical engineering. It is difficult to be represented by conventional constitutive model accurately. Artificial neural network (ANN) has been proposed as a more effective approach to represent this complex and nonlinear relationship, but ANN itself still has some limitations that restrict the applicability of the method. In this paper, an alternative method, support vector machine (SVM), is proposed to simulate this type of complex constitutive relationship. The SVM model can overcome the limitations of ANN model while still processing the advantages over the traditional model. The application examples show that it is an effective and accurate modeling approach for stress-strain relationship representation for geomaterials.


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