Efficient estimation of the failure probability of a monopile foundation using a Kriging-based approach with multi-point enrichment
Sign Up to like & getrecommendations! Published in 2020 at "Computers and Geotechnics"
DOI: 10.1016/j.compgeo.2020.103451
Abstract: Abstract In this paper, a probabilistic analysis of an offshore monopile foundation embedded in a spatially varying clayey soil was performed. An efficient Kriging-based probabilistic approach using a multipoint enrichment was adopted for the analysis.… read more here.
Keywords: failure probability; monopile foundation; kriging based; approach ... See more keywords
Kriging based sequence interpolation and probability distribution correction for gaussian wind field data reconstruction
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Wind Engineering and Industrial Aerodynamics"
DOI: 10.1016/j.jweia.2020.104340
Abstract: Abstract Data reconstruction is an important research topic for missing data recovery and data supplement. Spatial interpolation is often used for data reconstruction. The interpolation for time series is usually conducted at each time point… read more here.
Keywords: reconstruction; wind; probability; data reconstruction ... See more keywords
Kriging-based simulation optimization: An emergency medical system application
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the Operational Research Society"
DOI: 10.1080/01605682.2017.1418149
Abstract: Abstract Metamodeling is a common subject in simulation optimization literature. It aims to estimate the actual value (simulated) even before the point is evaluated by a simulation model. However, most publications do not apply metamodeling… read more here.
Keywords: simulation optimization; system; emergency; kriging based ... See more keywords
A Kriging-Based Optimization Approach for Large Data Sets Exploiting Points Aggregation Techniques
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Magnetics"
DOI: 10.1109/tmag.2017.2665703
Abstract: A kriging-based optimization approach is proposed for problems with large data sets and high dimensionality. Memory usage is maintained via model centering aided by minimizing the impact of information loss on accuracy of new point… read more here.
Keywords: data sets; optimization approach; based optimization; large data ... See more keywords