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Efficient Markov Chain Monte Carlo for combined Subset Simulation and nonlinear finite element analysis

Autor: David K. E. Green

Publikováno v: Computer Methods in Applied Mechanics and Engineering. 313:337-361

Typical probabilistic problems in an engineering context include rare event probability estimation for physical models where spatial autocorrelation of material property parameters is significant. Subset Simulation, a Markov Chain Monte Carlo techniq

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fdca24527c2542b36182281345c7cafd
https://doi.org/10.1016/j.cma.2016.10.012

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Model inference for Ordinary Differential Equations by parametric polynomial kernel regression

Autor: Filip Rindler, David K. E. Green

Publikováno v: UNCECOMP 2019 3rd ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering
Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019)

Model inference for dynamical systems aims to estimate the future behaviour of a system from observations. Purely model-free statistical methods, such as Artificial Neural Networks, tend to perform poorly for such tasks. They are therefore not well s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be46175975c90f3f1713090a067e575b

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The simulation and discretisation of random fields for probabilistic finite element analysis of soils using meshes of arbitrary triangular elements

Autor: Kurt Douglas, David K. E. Green, Garry Mostyn

Publikováno v: Computers and Geotechnics. 68:91-108

This paper presents a new methodology to discretise random fields for reliability assessment by the Random Finite Element Method. The methodology maps a random field to an arbitrary triangular finite element mesh by local averaging. Derivations for t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b0be544d618d3fa0c56ee78ce2e96848
https://doi.org/10.1016/j.compgeo.2015.04.004

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Decay rates of attractive and repellent pheromones in an ant foraging trail network

Autor: E. A. Jenner, Elva J. H. Robinson, K. E. Green, Mike Holcombe, Francis L. W. Ratnieks

Publikováno v: Insectes Sociaux. 55:246-251

Pharaoh's ants (Monomorium pharaonis) use at least three types of foraging trail pheromone: a long-lasting attractive pheromone and two short-lived pheromones, one attractive and one repellent. We measured the decay rates of the behavioural response

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c64f22e60dfdbbb38cf411c29474d0ad
https://doi.org/10.1007/s00040-008-0994-5

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A multidisciplinary approach to modelling secondary migration: a Central North Sea example

Autor: K. E. Green, R. J. Pottorf, J. Huang, L. L. Summa, W. A. Symington

Publikováno v: Geological Society, London, Special Publications. 141:169-185

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3dcc7e577f62c515c717fcb5ffb183d2
https://doi.org/10.1144/gsl.sp.1998.141.01.11

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Earthquake stability assessment for open pit mine slopes

Autor: Mark Fowler, Gareth Swarbrick, Jeremy Toh, David K. E. Green, Beatriz Estrada

Publikováno v: Proceedings of the 2013 International Symposium on Slope Stability in Open Pit Mining and Civil Engineering.

Earthquake stability assessment of large open pit mine slopes brings together two areas of slope engineering that are usually quite separate. To account for the scale and nature of open pit slopes, analysis techniques widely used for small scale civi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::659f6d08805bd6cc579ec7e0cff7af46
https://doi.org/10.36487/acg_rep/1308_84_toh

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