scholarly journals Hybrid simulation of the RF-SET and its charge sensitivity analysis

2006 ◽  
Author(s):  
M. Manoharan ◽  
Hiroshi Mizuta ◽  
Shunri Oda
Keyword(s):  
Sensitivity Analysis ◽  
Hybrid Simulation ◽  
Charge Sensitivity Analysis

scholarly journals A Global Sensitivity Analysis Framework for Hybrid Simulation with Stochastic Substructures

2021 ◽  
Vol 7 ◽  
Author(s):  
Nikolaos Tsokanas ◽  
Xujia Zhu ◽  
Giuseppe Abbiati ◽  
Stefano Marelli ◽  
Bruno Sudret ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Hybrid Model ◽  
Surrogate Model ◽  
Global Sensitivity Analysis ◽  
Hybrid Simulation ◽  
Hybrid Models ◽  
Analysis Framework ◽  
Global Sensitivity ◽  
Sensitivity Indices ◽  
Realistic Situation

Hybrid simulation is an experimental method used to investigate the dynamic response of a reference prototype structure by decomposing it to physically-tested and numerically-simulated substructures. The latter substructures interact with each other in a real-time feedback loop and their coupling forms the hybrid model. In this study, we extend our previous work on metamodel-based sensitivity analysis of deterministic hybrid models to the practically more relevant case of stochastic hybrid models. The aim is to cover a more realistic situation where the physical substructure response is not deterministic, as nominally identical specimens are, in practice, never actually identical. A generalized lambda surrogate model recently developed by some of the authors is proposed to surrogate the hybrid model response, and Sobol’ sensitivity indices are computed for substructure quantity of interest response quantiles. Normally, several repetitions of every single sample of the inputs parameters would be required to replicate the response of a stochastic hybrid model. In this regard, a great advantage of the proposed framework is that the generalized lambda surrogate model does not require repeated evaluations of the same sample. The effectiveness of the proposed hybrid simulation global sensitivity analysis framework is demonstrated using an experiment.

scholarly journals A Global Sensitivity Analysis Framework for Hybrid Simulation

2021 ◽  
Author(s):  
Giuseppe Abbiati ◽  
Stefano Marelli ◽  
Nikolaos Tsokanas ◽  
Bruno Sudret ◽  
Bozidar Stojadinovic
Keyword(s):  
Sensitivity Analysis ◽  
Hybrid Model ◽  
Polynomial Chaos ◽  
Global Sensitivity Analysis ◽  
Hybrid Simulation ◽  
Polynomial Chaos Expansion ◽  
Chaos Expansion ◽  
Analysis Framework ◽  
Global Sensitivity ◽  
Sensitivity Indices

Hybrid Simulation is a dynamic response simulation paradigm that merges physical experiments and computational models into a hybrid model. In earthquake engineering, it is used to investigate the response of structures to earthquake excitation. In the context of response to extreme loads, the structure, its boundary conditions, damping, and the ground motion excitation itself are all subjected to large parameter variability. However, in current seismic response testing practice, Hybrid Simulation campaigns rely on a few prototype structures with fixed parameters subjected to one or two ground motions of different intensity. While this approach effectively reveals structural weaknesses, it does not reveal the sensitivity of structure's response. This thus far missing information could support the planning of further experiments as well as drive modeling choices in subsequent analysis and evaluation phases of the structural design process.This paper describes a Global Sensitivity Analysis framework for Hybrid Simulation. This framework, based on Sobol' sensitivity indices, is used to quantify the sensitivity of the response of a structure tested using the Hybrid Simulation approach due to the variability of the prototype structure and the excitation parameters. Polynomial Chaos Expansion is used to surrogate the hybrid model response. Thereafter, Sobol' sensitivity indices are obtained as a by-product of polynomial coefficients, entailing a reduced number of Hybrid Simulations compared to a crude Monte Carlo approach. An experimental verification example highlights the excellent performance of Polynomial Chaos Expansion surrogates in terms of stable estimates of Sobol' sensitivity indices in the presence of noise caused by random experimental errors.

scholarly journals A global sensitivity analysis framework for hybrid simulation

2021 ◽  
Vol 146 ◽  
pp. 106997 ◽  
Author(s):  
G. Abbiati ◽  
S. Marelli ◽  
N. Tsokanas ◽  
B. Sudret ◽  
B. Stojadinović
Keyword(s):  
Sensitivity Analysis ◽  
Global Sensitivity Analysis ◽  
Hybrid Simulation ◽  
Analysis Framework ◽  
Global Sensitivity

Charge sensitivity analysis of oxide catalysts: V2O5 clusters and (n-V2O5)H(in2) systems

1992 ◽  
Vol 77 (2) ◽  
pp. 165-180 ◽  
Author(s):  
R.F. Nalewajski ◽  
J. Korchowiec ◽  
R. Tokarz ◽  
E. Brocławik ◽  
M. Witko
Keyword(s):  
Sensitivity Analysis ◽  
Oxide Catalysts ◽  
Charge Sensitivity Analysis

scholarly journals Generalized charge sensitivity analysis

2012 ◽  
Vol 23 (5) ◽  
pp. 1449-1458 ◽  
Author(s):  
Anna Stachowicz ◽  
Jacek Korchowiec
Keyword(s):  
Sensitivity Analysis ◽  
Charge Sensitivity Analysis
Sign in / Sign up

Export Citation Format

Share Document