OptEx: an integrated framework for experimental design and combustion kinetic model optimization
Computational fluid dynamics (CFD) simulation in the design of combustion devices
imposes increased demand on combustion kinetic models with acceptable uncertainties …
imposes increased demand on combustion kinetic models with acceptable uncertainties …
Automatic validation and analysis of predictive models by means of big data and data science
Validation is an essential procedure in the development of a predictive model in several
engineering fields. In addition, recent data analysis techniques and the increasing …
engineering fields. In addition, recent data analysis techniques and the increasing …
Clustering algorithm for experimental datasets using global sensitivity-based affinity propagation (GSAP)
To minimize the uncertainty of the parameters in combustion kinetics models, Bayesian
methods are commonly used for uncertainty constraints based on experimental data. With …
methods are commonly used for uncertainty constraints based on experimental data. With …
Development of an uncertainty quantification predictive chemical reaction model for syngas combustion
NA Slavinskaya, M Abbasi, JH Starcke… - Energy & …, 2017 - ACS Publications
An automated data-centric infrastructure, Process Informatics Model (PrIMe), was applied to
validation and optimization of a syngas combustion model. The Bound-to-Bound Data …
validation and optimization of a syngas combustion model. The Bound-to-Bound Data …
Bayesian calibration of a methane-air global scheme and uncertainty propagation to flame-vortex interactions
Simplified chemistry models are commonly used in reactive computational fluid dynamics
(CFD) simulations to alleviate the computational cost. Uncertainties associated with the …
(CFD) simulations to alleviate the computational cost. Uncertainties associated with the …
Quantifying uncertainty in kinetic simulation of engine autoignition
Combustion chemistry models have been developed with inherent uncertainties in them.
Whether a model that is developed using fundamental combustion experiments is capable …
Whether a model that is developed using fundamental combustion experiments is capable …
Uncertainty quantification and data consistency analysis for the development of hydrogen and syngas oxidation model
The exponential growth of contemporary chemical kinetics data coupled with the potential
inherent high uncertainty poses significant challenges for developing chemical kinetic …
inherent high uncertainty poses significant challenges for developing chemical kinetic …
Application of bound-to-bound data collaboration approach for development and uncertainty quantification of a reduced char combustion model
The development of efficient industrial oxy-coal boilers can be significantly aided by
Computational Fluid Dynamics (CFD) tools, as far as fidelity in modeling coal combustion is …
Computational Fluid Dynamics (CFD) tools, as far as fidelity in modeling coal combustion is …
Representing model discrepancy in bound-to-bound data collaboration
We extend the existing methodology in bound-to-bound data collaboration (B2BDC), an
optimization-based deterministic uncertainty quantification (UQ) framework, to explicitly take …
optimization-based deterministic uncertainty quantification (UQ) framework, to explicitly take …
Does a reduced model reproduce the uncertainty of the original full-size model?
The present study addresses the title question by taking a detailed mechanism of a concrete
combustion system, syngas ignition, deriving from it three reduced models with different …
combustion system, syngas ignition, deriving from it three reduced models with different …