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The current project develops probabilistic simulation models to explain people's predictions about how a liquid will flow through solid obstacles.
This approach takes advantage of the complementarity between the deterministic and probabilistic simulation methods.
A multivariable probabilistic simulation produced similar results to the base-case scenario.
To demonstrate the use of probabilistic simulation modeling to estimate the joint density of therapeutic risks and benefits.
This paper presents a probabilistic simulation model for evaluating the performance of natural ventilation, which takes the uncertainties in the PLI values into account.
In FAI and SAI, dominant inputs, out of the Morris method, were identified for Monte Carlo simulation to quantify probabilistic simulation outputs.
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A probabilistic, simulation-based framework is presented in this paper for risk assessment and optimal design of supplemental dampers for multi-span bridge systems supported on abutments and intermediate piers through isolation bearings.
The current study addresses this by developing a probabilistic simulation-based approach and then applying it to southern Ontario, using a model for the outbreak characteristics based on the tornado database for the regions neighboring southern Ontario and the tornado characteristics obtained from historical occurrences of tornadoes in southern Ontario.
The technique is applied in deterministic and probabilistic simulations and demonstrated on several examples.
First, we exhibit, by means of probabilistic simulations, the phenomenon of micro-elastic phases which are small as well as numerous.
By using the proposed numerical modeling, probabilistic simulations of tensile strength of natural plant fibers were conducted with the Monte Carlo direct method invoked, which was followed by a few statistical treatments to the simulation results.
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