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Showing 10 out of a total of 40 results for community: Mechanical and Aeronautical Engineering.
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Comparative evaluation of creep response of X20 and P91 steam piping networks in operation
Salifu, Smith
;
Desai, Dawood A.
;
Kok, Schalk
(
Springer
,
2020-08
)
MOTA : a many-objective tuning algorithm specialized for tuning undermultiple objective function evaluation budgets
Dymond, Antoine Smith Dryden
;
Kok, Schalk
;
Heyns, P.S. (Philippus Stephanus)
(
Massachusetts Institute of Technology Press
,
2017-03
)
Calibrating corneal material model parameters using only inflation data : an ill-posed problem
Kok, Schalk
;
Botha, Natasha
;
Inglis, Helen Mary
(
Wiley
,
2014
)
Simultaneous estimation of boundary conditions and material model parameters
Jansen van Rensburg, Gerhardus J.
;
Kok, Schalk
;
Wilke, Daniel Nicolas
(
Springer
,
2018-02
)
Quasi-Newton methods for implicit black-box FSI coupling
Bogaers, Alfred Edward Jules
;
Kok, Schalk
;
Reddy, B. Dayanand, 1953-
;
Franz, Thierry
(
Elsevier
,
2014-09
)
The use of direct inverse maps to solve material identification problems : pitfalls and solutions
Asaadi, Erfan
;
Wilke, Daniel Nicolas
;
Heyns, P.S. (Philippus Stephanus)
;
Kok, Schalk
(
Springer
,
2017-02
)
Empirical methods for the estimation of Southern Ocean CO2 : support vector and random forest regression
Gregor, Luke
;
Kok, Schalk
;
Monteiro, Pedro M.S.
(
European Geosciences Union
,
2017-12-08
)
Modelling and optimization of residual stress induction on laser-worked X12Cr turbine blades
Fameso, Festus Oluwadare
;
Desai, Dawood Ahmed
;
Kok, Schalk
;
Armfield, Dylan
;
Newby, Mark
(
Erol Kurt
,
2023
)
Simulation of laser shock peening on X12Cr steel using an alternate computational mechanical threshold stress plasticity model
Fameso, Festus
;
Desai, Dawood A.
;
Kok, Schalk
;
Newby, Mark
;
Glaser, Daniel
(
Springer
,
2020-11
)
A comparative assessment of the uncertainties of global surface ocean CO2 estimates using a machine-learning ensemble (CSIR-ML6 version 2019a) – have we hit the wall?
Gregor, Luke
;
Lebehot, Alice D.
;
Kok, Schalk
;
Scheel Monteiro, Pedro M.
(
European Geosciences Union
,
2019-12-10
)
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