Comparison of stochastic and interval methods for uncertainty quantification of metal forming processes | Zendy

Maarten Arnst | Zendy; JeanPhilippe Ponthot | Zendy; Romain Boman | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Comparison of stochastic and interval methods for uncertainty quantification of metal forming processes

Author(s) -

Maarten Arnst,

JeanPhilippe Ponthot,

Romain Boman

Publication year - 2018

Publication title -

comptes rendus mécanique

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.454

H-Index - 53

ISSN - 1873-7234

DOI - 10.1016/j.crme.2018.06.007

Subject(s) - robustness (evolution) , uncertainty quantification , interval (graph theory) , uncertainty analysis , stochastic process , computer simulation , interval arithmetic , stochastic simulation , computer science , measurement uncertainty , forming processes , stochastic modelling , process (computing) , sensitivity analysis , mathematical optimization , mathematics , statistics , engineering , simulation , machine learning , mechanical engineering , mathematical analysis , biochemistry , chemistry , combinatorics , bounded function , gene , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research