igor kavrakov
igor kavrakov
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Stochastic stiffness identification and response estimation of Timoshenko beams via physics-informed Gaussian processes
The study proposes a new method for inference of beam behaviour using Timoshenko beams and physics-informed Gaussian processes. Additionally, we present physics-informed sensor placement strategy. The method is validated on with experiments.
Gledson Rodrigo Tondo
,
Sebastian Rau
,
Igor Kavrakov
,
Guido Morgenthal
Preprint
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Project
DOI
Coupled mumerical simulation of liquid sloshing dampers and wind-structure simulation model
The study presents a framework for simulation of the wind-structure interaction mitigated by sloshing dampers
Victor Vilceanu
,
Igor Kavrakov
,
Guido Morgenthal
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Project
DOI
IABSE Task Group 3.1 benchmark results. numerical full bridge stability and buffeting simulations
IABSE Task Group: Bridge Aerodynamics Verification - Part 2, comparison for numerical buffeting and flutter analysis of a full bridge.
Giorgio Diana
,
and 17 others, including Igor Kavrakov
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DOI
Numerical investigation of the nonlinear interaction between the sinusoidal motion-induced and gust-induced forces acting on bridge decks
The study examines the nonlinear interaction between the buffeting and self-excited forces. We observed new exciting nonlinear features by studying the flowfield.
Samuel Tesfaye
,
Igor Kavrakov
,
Guido Morgenthal
Preprint
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Project
DOI
Data-driven aerodynamic analysis of structures using Gaussian Processes
We present a new data-driven model using Gaussian Processes for the first time in structural aerodynamics. It is nonlinear, nonparametric, nondimensional and easy to use - check it out, there is an open-source code too!
Igor Kavrakov
,
Allan McRobie
,
Guido Morgenthal
Preprint
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Code
Project
DOI
Comparison metrics for time-histories: Application to bridge aerodynamics
How to verify/validate/compare your time-dependent model in a phisically meaningful sense? Use our comparison metrics! (incl. code)
Igor Kavrakov
,
Ahsan Kareem
,
Guido Morgenthal
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Code
Project
DOI
Prediction of aeroelastic response of bridge decks using artificial neural networks
We present a method based on ANNs to model the aerodynamic forces and simulate the deck response.
Tajammal Abbas
,
Igor Kavrakov
,
Tom Lahmer
,
Guido Morgenthal
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Project
DOI
IABSE Task Group 3.1 benchmark results. Part 2: Numerical analysis of a three-degree-of-freedom bridge deck section based on experimental aerodynamics
IABSE Task Group: Bridge Aerodynamics Verification - Part 1.2, three degrees of freedom, experimental aerodynamics.
Giorgio Diana
,
and 19 others, including Igor Kavrakov
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DOI
IABSE Task Group 3.1 benchmark results. Part 1: Numerical analysis of a two-degree-of-freedom bridge deck section based on analytical aerodynamics
IABSE Task Group: Bridge Aerodynamics Verification - Part 1.1, two degrees of freedom, analytical aerodynamics.
Giorgio Diana
,
and 19 others, including Igor Kavrakov
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Project
DOI
Determination of complex aerodynamic admittance of bridge decks under deterministic gusts using the Vortex Particle Method
Admittance is one of the most controversial topics in bridge aerodynamics, and very rarely done using CFD. Here, we present a method to tackle this.
Igor Kavrakov
,
Tommaso Argentini
,
Simone Omarini
,
Daniele Rocchi
,
Guido Morgenthal
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DOI
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