The multi-factor effect of tensile strength of concrete in numerical simulation based on the Monte Carlo random aggregate distribution

2018 ◽  
Vol 165 ◽  
pp. 585-595 ◽  
Author(s):  
Changhong Chen ◽  
Qian Zhang ◽  
Leon M. Keer ◽  
Yao Yao ◽  
Ying Huang
Keyword(s):  
Numerical Simulation ◽  
Tensile Strength ◽  
Monte Carlo ◽  
Aggregate Distribution ◽  
Factor Effect ◽  
Random Aggregate ◽  
Simulation Based

NON-PROPAGATION OF NOISE IN INTRACELLULAR METABOLIC POOLS

2009 ◽  
Vol 17 (03) ◽  
pp. 511-527 ◽  
Author(s):  
AIMIN CHEN ◽  
JIAJUN ZHANG ◽  
ZHANJIANG YUAN ◽  
TIANSHOU ZHOU
Keyword(s):  
Numerical Simulation ◽  
Monte Carlo ◽  
Finite Number ◽  
Monte Carlo Simulations ◽  
Metabolic Pathways ◽  
Chemical Species ◽  
Living Cells ◽  
Simulation Based ◽  
Linear Noise Approximation ◽  
And Function

Intracellular metabolic pathways are highly interlinked networks. Such a network inevitably involves stochasticity due to the finite number of molecules of individual chemical species in biochemical reactions, which in turn would affect the development and function of living cells. Here, we investigate noise in the metabolic pools using linear noise approximation. By analyzing several typical motifs, we show non-propagation of noise in a clearer way in contrast to previous studies. Numerical simulation based on molecule-level Monte Carlo simulations further verifies the theoretic prediction. Our results would be helpful for understanding intracellular processes.

Numerical Simulation of Splitting Tensile Strength for Concrete

2012 ◽  
Vol 511 ◽  
pp. 142-145
Author(s):  
Hong Sun ◽  
Jing Zhang ◽  
Qian Yang
Keyword(s):  
Numerical Simulation ◽  
Finite Element Method ◽  
Tensile Tests ◽  
Concrete Aggregate ◽  
Aggregate Model ◽  
Weak Part ◽  
Random Aggregate ◽  
Simulation Based ◽  
Random Aggregate Model ◽  
Microscopic Damage

The random aggregate model was used to simulate the structure of concrete, and microscopic damage and crack of concrete in splitting tensile tests were simulated by Finite Element Method. The process of splitting tensile damage for concrete was studied. The result shows that the method of numerical simulation based on random aggregate model is mainly feasible, and the surface between concrete aggregate and mortar is the weak part

Plane Truss Reliability Numerical Simulation Based on MATLAB

2012 ◽  
Vol 256-259 ◽  
pp. 1091-1096
Author(s):  
Yuan Ying Li ◽  
De Sheng Zhang
Keyword(s):  
Numerical Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Response Surface ◽  
Vertical Displacement ◽  
Basic Principles ◽  
Structure Reliability ◽  
Surface Method ◽  
Direct Sampling ◽  
Simulation Based

Based on the basic principles of structure reliability numerical analysis, the numerical simulation of the displacement and stress reliability of plane truss under vertical load was programmed with MATLAB. The failure probability of the most unfavorable structural vertical displacement and stress and reliable indicators were obtained through direct sampling Monte Carlo method, response surface method, response surface-Monte Carlo method and response surface-important sampling Monte Carlo method. It is found that calculation lasts longer since there are so many samples with Monte-Carlo method, higher accuracy and less calculation time can be achieved through response surface-Monte Carlo method and response surface-important sampling Monte Carlo method with fewer samples. The results of different numerical simulation calculations are almost identical and reliable, providing references to reliability analysis of complex structures.

scholarly journals Inverse Analysis of Concrete Meso-constitutive Model Parameters Considering Aggregate Size Effect

2020 ◽  
Vol 27 (1) ◽  
pp. 397-404
Author(s):  
Lixia Guo ◽  
Song Li ◽  
Ling Zhong ◽  
Lei Guo ◽  
Lunyan Wang
Keyword(s):  
Numerical Simulation ◽  
Genetic Algorithm ◽  
Tensile Strength ◽  
Elastic Modulus ◽  
Constitutive Model ◽  
Size Effect ◽  
Aggregate Size ◽  
Model Parameters ◽  
Random Aggregate ◽  
Mortar Matrix

AbstractThe meso numerical simulation has become an important method to study the characteristics of materials; however, the key to its further application is determining the parameters of meso-constitutive model. Considering that the meso-scale parameters of materials are hard to measure, this paper took into account the aggregate size effect and proposed a meso-parameter identification method by combining random aggregate numerical simulation and genetic algorithm. First, a random aggregate model of concrete was established, and its meso-model parameters were analyzed. The Morris method was used to analyze the sensitivity of meso-component parameters to the macro-responses, and results showed that the elastic modulus of mortar matrix, interface and large aggregates had a great effect on the peak strain and that the elastic modulus, Poisson’s ratio and tensile strength of interface and mortar matrix, as well as the Poisson’s ratio of large aggregates and the elastic modulus of small aggregates all had an effect on the peak stress, among which the interface tensile strength produced the greatest effect. Second, a parametric inversion and optimization function was established. The uniaxial compression numerical simulation test and genetic algorithm were combined to invert the meso-parameters, and results showed that compared with the single-aggregate parameter inversion curve, the multi-aggregate inversion stress-strain curve was much closer to the measured curve. That was because the aggregates of small size had lower elastic modulus, easing the stress concentration at the interface between aggregates and cement stone, and delaying the formation and growth of cracks.

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