To get insight into how some of the estimated parameters affect the output of the model, we make use of the Latin Hypercube Sampling Technique (LHS). This technique allows an unbiased estimate of the average model output and require fewer samples than simple random sampling to achieve the same...
‘space filling’ designs in the literature; here the Latin hypercube sampling technique introduced byMcKayet al. (1979)is used to select representative configurations of the support structure. The Latin hypercube sampling technique maximizes the minimum distance between sample points, while the range ...
1.Aiming at inefficiency of direct Monte Carlo method,viscoelastic finite element method was determined and Latin hypercube sampling(LHS) technique was used for random sampling so as to improve convergent velocity of calculation.针对直接Monte Carlo法效率较低的问题,在确定粘弹性有限元的基础上,采用拉丁超...
Latin Hypercube Sampling (LHS) with non-normal... Learn more about latin hypercube sampling, lhs, probabilistic density function, pdf, random number generator
In some studies requiring predictive and CPU-time consuming numerical models, the sampling design of the model input variables has to be chosen with caution. For this purpose, Latin hypercube sampling has a long history and has shown its robustness capab
In this article, a combined use of Latin hypercube sampling and axis orthogonal importance sampling, as an efficient and applicable tool for reliability analysis with limited number of samples, is explored for sensitivity estimation of the failure probability with respect to the distribution parameters ...
This paper analyzed the impact of the uncertainty of hydrogeological parameters and source/sink on the simulation results under the ideal groundwater flow conditions by using the Latin Hypercube Sampling(LHS).The Spearman partial(rank) correlation coefficient and the standard(rank) regression coefficient...
aBased on the idea of ZMMM method, Latin Hypercube sampling technique according to the design variables is used to calculate sample points within the confidence value, and then the sample points are substituted into the finite element software to get the responses. 基于ZMMM方法想法,拉丁Hypercube...
The traditional technique for selecting input variables is Monte Carlo simulation (MCS) that randomly samples the cumulative distributions to obtain variable inputs. Another technique that has gained popularity is the Latin hypercube sampling (LHS), a technique emphasizing uniform sampling of the univaria...
1) Latin hypercube sampling 拉丁超立方采样 1. In this paper,the seismic vulnerability of multistory dwelling brick buildings designed according to the current codes is analyzed byLatin hypercube samplingtechnique and nonlinear seismic time history response analysis. ...