The method can be applied when an initial LH design is employed for the analysis of functions g of a random vector. This states that during the application of high pressure water injection, the pressure and well spacing should be controlled especially.In this article, a novel method for the extension of sample size in Latin Hypercube Sampling (LHS) is suggested. The results states that, in 10 years continuous injection, the well spacing and injection pressure have significant impact on the channeling flow. First the values of different parameters are produced by using Latin hypercube method second, by using these parameters, finite element model have been established and simulated, and the quantity of channeling flow has been calculated then Spearman rank relation is applied to measure the relation of parameters and channeling flow. In this paper, numerical simulation is combined with sensitivity analysis method to calculate the significance of the weight of parameters to the channeling flow. The injection process is complex and covers so many parameters of which the contribution to channeling flow is necessarily to be studied. Among the variables, The randomness of load has the greatest influence on uncertainty of strain, and Poisson`s ratio of oxide film is the smallest effect.Ībstract: Channeling flow frequently occurs during the high pressure water injection of low permeability reservoir. The results show that the randomness of material properties and load markedly affect the uncertainty of micro-mechanical state. With the help of finite element numerical simulation and Latin hypercube sampling method, the uncertainty of mechanical properties at tip of EAC in one-inch compact tension specimen is simulated and analyzed in this study. Meanwhile, to improve the efficiency of numerical analysis, MATLAB is employed in the secondary development for ABAQUS. To understand the influence of randomness on micro-mechanical state at tip of EAC, Latin hypercube sampling method is applied to analyze the uncertainty of stress-strain in the oxide film at the EAC tip considering the uncertainties of load and material properties of base metal and oxide film.
The calculations are performed in MATLAB environment.Finally, the obtained results are presented and discussed.It is shown that the Latin Hypercube sampling can be used as an effective tool for the investigation of the effect of fire model parameter variability on the fire resistance.Ībstract: Environmentally assisted cracking (EAC) of nickel-based alloys is one of the most significant potential safety hazards in the primary circuit of nuclear power plants. In the example, the variability of the fire model parameters is captured using the Latin Hypercubes sampling method.The thermal analysis of the slab panel as well as the subsequent mechanical analysis are both conducted by using numerical methods described in our previous work. The panel is placed in a fire compartment with given fire model parameter ranges. Namely, we focus on the temperature evolution, duration of fire, andthe maximum temperature reached.In the second part of the paper, an illustrative example is presented.The example is focused on the analysis of the fire resistance of a concrete slab panel. Abstract: The paper is focused on the fire model parameter variability and its effect on the determination of fire resistance of concrete structural members.For the modelling of fire, the parametric temperature-time curve given in EN is used.First part of the paper is aimed on the fire model parameter variability in general.First, fire model parameter ranges are described and their combinations are created using two common sampling methods - Monte Carlo and Latin Hypercubes.Then, the combinations are analysed, unreasonable combinations are identified, and viable combinations are illustrated.Moreover, the characteristics of the temperature-time curves obtained using the parameter combinations are discussed.
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