This work presents a technique for particle size generation and placement in arbitrary closed domains. Its main application is the simulation of granular media described by disks. Particle size generation is based on the statistical analysis of granulometric curves which are used as empirical cumulative distribution functions to sample from mixtures of uniform distributions. The desired porosity is attained by selecting a certain number of particles, and their placement is performed by a stochastic point process. We present an application analyzing different types of sand and clay, where we model the grain size with the gamma, lognormal, Weibull and hyperbolic distributions. The parameters from the resulting best fit are used to generate samples from the theoretical distribution, which are used for filling a finite-size area with non-overlapping disks deployed by a Simple Sequential Inhibition stochastic point process. Such filled areas are relevant as plausible inputs for assessing Discrete Element Method and similar techniques
The study of alternative techniques to characterize the geomechanical properties of marine clays in deep waters has been the objective of numerous studies. Such research is warranted because of the difficulty in the use of traditional inspection methods under those environmental conditions. This paper presents an inverse numerical technique to evaluate the undrained soil shear strength of the marine soil. This technique is based on the response measurement during penetration in the marine soil by a gravity released pile. By inverse here we mean that the algorithm developed uses the experimental data to fit the parameters of the differential equation of motion of the pile during the penetration, using the least square method. In this procedure the parameters are associated to the undrained shear strength of the marine clay and to the drag coefficient of the pile. Examples are shown to illustrate the feasibility of the method when compared to other conventional tests.
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