scholarly journals Computing seismic fragility curves using polynomial chaos expansions

2014 ◽  
pp. 3337-3344 ◽  
Author(s):  
B Sudret ◽  
C Mai
Keyword(s):  
Polynomial Chaos ◽  
Fragility Curves ◽  
Seismic Fragility ◽  
Polynomial Chaos Expansions

scholarly journals An approach to derive seismic fragility curves

2021 ◽  
Vol 1026 (1) ◽  
pp. 012007
Author(s):  
V J Vedhanayaghi ◽  
M Manoharan ◽  
J Jasper Daniel ◽  
S Premkumar ◽  
S ArunBharathi
Keyword(s):  
Fragility Curves ◽  
Seismic Fragility

Modeling of Stochastic EMC Problems with Anisotropic Polynomial Chaos Expansions

2021 ◽  
Vol 10 (2) ◽  
pp. 70-79
Author(s):  
Theodoros Zygiridis ◽  
Georgios Kommatas ◽  
Aristeides Papadopoulos ◽  
Nikolaos Kantartzis
Keyword(s):  
Polynomial Chaos ◽  
Polynomial Chaos Expansions

scholarly journals mumpce_py: A Python Implementation of the Method of Uncertainty Minimization Using Polynomial Chaos Expansions

2017 ◽  
Vol 122 ◽  
Author(s):  
David A. Sheen
Keyword(s):  
Measurement Uncertainty ◽  
First Principles ◽  
Polynomial Chaos ◽  
Software Tool ◽  
Physical Models ◽  
Physical Parameters ◽  
Experimental Measurements ◽  
Uncertainty Minimization ◽  
Polynomial Chaos Expansions ◽  
Parameter Values

The Method of Uncertainty Minimization using Polynomial Chaos Expansions (MUM-PCE) was developed as a software tool to constrain physical models against experimental measurements. These models contain parameters that cannot be easily determined from first principles and so must be measured, and some which cannot even be easily measured. In such cases, the models are validated and tuned against a set of global experiments which may depend on the underlying physical parameters in a complex way. The measurement uncertainty will affect the uncertainty in the parameter values.

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