Omar A. Mures
Omar A. Mures
Home
Publications
Contact
Light
Dark
Automatic
Numerical Simulation
Aeroelastic force prediction via temporal fusion transformers
Aero-structural shape design and optimization of bridge decks rely on accurately estimating their self-excited aeroelastic forces within the design domain. The inherent nonlinear features of bluff body aerodynamics and the high cost of wind tunnel tests and computational fluid dynamics (CFD) simulations make their emulation as a function of deck shape and reduced velocity challenging. We propose a time domain emulation strategy harnessing temporal fusion transformers (TFTs) to predict the self-excited forces time series before their integration into FDs.
Miguel Cid Montoya
,
Ashustosh Mishra
,
Sumit Verma
,
Omar A. Mures
,
Carlos E. Rubio‐Medrano
PDF
Cite
DOI
In-transit molecular dynamics analysis with Apache flink
In this paper, an on-line parallel analytics framework is proposed to process and store
in transit
all the data being generated by a …
Henrique C. Zanúz
,
Bruno Raffin
,
Omar A. Mures
,
Emilio J. Padrón
PDF
Cite
DOI
Leveraging the Power of Big Data Tools for Large Scale Molecular Dynamics Analysis
Parallel Molecular Dynamics simulations are generating atom trajectories of growing sizes and complexity. Analyzing these trajectories …
Omar A. Mures
,
Emilio J. Padrón
,
Bruno Raffin
PDF
Cite
Cite
×