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Many tasks, in our case fitting parameters of a numerical model, need enormous computing time that is not usually easily accessible. Here enormous means many days or mont [...]
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This contribution presents experiences and difficulties encountered during interpolation of experimental results by Kriging/DACE metamodel. Particularly, several combinat [...]
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Resulting properties of hardening cement paste are influenced by several stochastic parameters whose effect has not been yet fully determined. We attempt to explore the s [...]
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The problem of inverse analysis occurs in many engineering tasks and, as such, attains several different forms and can be solved by a variety of very distinct methods. In [...]
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Space-Filling Design Strategies known as Design of (Computer) Experiments (DoE) create an essential part of a surrogate modeling. One of the space-filling metrics is mini [...]
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A meta-model (or a surrogate) is a modern name for what was traditionally called a response surface. Our contribution presents an adaptive updating procedure to improve t [...]
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This contribution introduces a new formulation of a classical Branch and Bound method to find global optima of truss sizing optimization problems enhanced with cables. Ou [...]
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The problem of an inverse analysis occurs in many engineering tasks. The problem itself has several different forms and can be solved by many very distinct methods. In th [...]
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Lepš, M.
This paper presents a discrete optimization of reinforced concrete structures based on an efficient combination of deterministic and stochastic optimization strategies. T [...]
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In this paper we present an identification method of microplane model parameters from results of experiments in a uniaxial deformation on concrete. Novelties are usage of [...]
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