Thomas Most
Thomas Most
Manager Service & Applied Research, Dynardo GmbH, Germany
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Cited by
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A comparison of approximate response functions in structural reliability analysis
C Bucher, T Most
Probabilistic Engineering Mechanics 23 (2-3), 154-163, 2008
A moving least squares weighting function for the element-free Galerkin method which almost fulfills essential boundary conditions
T Most, C Bucher
Structural Engineering and Mechanics 21 (3), 315-332, 2005
Metamodel of Optimal Prognosis-an automatic approach for variable reduction and optimal metamodel selection
T Most, J Will
Proc. Weimarer Optimierungs-und Stochastiktage 5, 20-21, 2008
Sensitivity analysis using the Metamodel of Optimal Prognosis
T Most, J Will
Weimar Optimization and Stochastic Days 8, 24-40, 2011
New concepts for moving least squares: An interpolating non-singular weighting function and weighted nodal least squares
T Most, C Bucher
Engineering analysis with boundary elements 32 (6), 461-470, 2008
Reliability analysis of the bearing failure problem considering uncertain stochastic parameters
T Most, T Knabe
Computers and Geotechnics 37 (3), 299-310, 2010
Assessment of structural simulation models by estimating uncertainties due to model selection and model simplification
T Most
Computers & structures 89 (17-18), 1664-1672, 2011
Dynamic stability analysis of non-linear structures with geometrical imperfections under random loading
T Most, C Bucher, Y Schorling
Journal of Sound and Vibration 276 (1-2), 381-400, 2004
Probabilistic analysis of concrete cracking using neural networks and random fields
T Most, C Bucher
Probabilistic engineering mechanics 22 (2), 219-229, 2007
Stochastic crack growth simulation in reinforced concrete structures by means of coupled finite element and meshless methods
T Most
A natural neighbour‐based moving least‐squares approach for the element‐free Galerkin method
T Most
International Journal for Numerical Methods in Engineering 71 (2), 224-252, 2007
Variance-based sensitivity analysis in the presence of correlated input variables
T Most
Proc. 5th Int. Conf. Reliable Engineering Computing (REC), Brno, Czech Republic, 2012
Identification of the parameters of complex constitutive models: Least squares minimization vs. Bayesian updating
T Most
Reliability and optimization of structural systems 119, 2010
Metamodell of optimized prognosis (MoP)-an automatic approach for user friendly parameter optimization
J Will, T Most
Weimarer Optimierungs-und Stochastiktage 6, 2009
Energy‐based simulation of concrete cracking using an improved mixed‐mode cohesive crack model within a meshless discretization
T Most, C Bucher
International journal for numerical and analytical methods in geomechanics …, 2007
Stability analysis for imperfect systems with random loading
YC Schorling, T Most, C Bucher
Proceedings of the 8th International Conference on Structural Safety and …, 2001
Efficient structural reliability methods considering incomplete knowledge of random variable distributions
T Most
Probabilistic Engineering Mechanics 26 (2), 380-386, 2011
Advanced surrogate models within the robustness evaluation
D Roos, T Most, JF Unger, J Will
Proc. Weimarer Optimierungs-und Stochastiktage 4, 29-30, 2007
Approximation of complex nonlinear functions by means of neural networks
T Most
2nd Weimar Optimization and Stochastic Days 2005, 2005
Adaptive response surface approach using artificial neural networks and moving least squares
T Most, C Bucher
Institut für Strukturmechanik, 2006
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