نتایج جستجو برای: structures with uncertain parameters
تعداد نتایج: 9514766 فیلتر نتایج به سال:
there are many approaches for solving variety combinatorial optimization problems (np-compelete) that devided to exact solutions and approximate solutions. exact methods can only be used for very small size instances due to their expontional search space. for real-world problems, we have to employ approximate methods such as evolutionary algorithms (eas) that find a near-optimal solution in a r...
This study introduces a novel computational framework for Robust Topology Optimization (RTO) considering imprecise random field parameters. Unlike the worst-case approach, present method provides upper and lower bounds mean standard deviation of compliance as well optimized topological layouts structure various scenarios. In proposed variables are determined utilizing parameterized p -boxes wit...
We use the basic binomial option pricing method but allow someor all the parameters in the model to be uncertain and model this uncertaintyusing fuzzy numbers. We show that with the fuzzy model we can, with areasonably small number of steps, consider almost all possible future stockprices; whereas the crisp model can consider only n + 1 prices after n steps.
The purpose of this article was to investigate the influence uncertain soil parameters on slope stability problems using probability method. most important instability is probably inherent spatial variability properties and its safety factors. method recognized for validity both in practice academic research. This geotechnical risk management involves parameters. In study, randomly selected wer...
The exponential growth of the computational capacity has, amongst other things, enabled the design engineer to include non-deterministic properties in the numerical simulation and validation of new designs. In this context, the interval concept has been introduced for the description of incomplete data, subjective knowledge and modelling uncertainties in a non-probabilistic manner. The use of t...
Surrogate models are a common tool to perform expensive optimization or uncertainty analysis in cost-effective way. The structure and the application of surrogate is well known, but there still potential for improvement. model can be divided into three parts, which considered separately. sampling plan, black box selection itself. plan presented on basis two case studies. In plans, example FOSS ...
This paper discusses the application of interval fields for the analysis of uncertain mechanical structures. More specifically, this work illustrates the use of interval fields to represent uncertainties with spatially distributed uncertain parameters in the context of finite element analysis. The methods to represent a spatial uncertainty by interval fields both at the input and the output sid...
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