activity
20212026
most citedData-driven Aerodynamic Analysis of Structures using Gaussian Processes

23 citations · 65 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CE2026

Assessing the dynamic response of long-span bridges under simultaneous wind and traffic loads

Gledson Rodrigo Tondo, Guido Morgenthal

Wind-traffic interactions strongly influence the dynamic response of long-span bridges, yet loads are often analysed independently. This work models concurrent wind and traffic and…

physics.flu-dyn2024★ 7 cited

Data-driven Aeroelastic Analyses of Structures in Turbulent Wind Conditions using Enhanced Gaussian Processes with Aerodynamic Priors

Igor Kavrakov, Guido Morgenthal, Allan McRobie

Recent advancements in data-driven aeroelasticity have been driven by the wealth of data available in the wind engineering practice, especially in modeling aerodynamic forces. Desp…

cs.LG2023★ 17 cited

Stochastic stiffness identification and response estimation of Timoshenko beams via physics-informed Gaussian processes

Gledson Rodrigo Tondo, Sebastian Rau, Igor Kavrakov +1

Machine learning models trained with structural health monitoring data have become a powerful tool for system identification. This paper presents a physics-informed Gaussian proces…

cs.LG2023★ 6 cited

A physics-informed machine learning model for reconstruction of dynamic loads

Gledson Rodrigo Tondo, Igor Kavrakov, Guido Morgenthal

Long-span bridges are subjected to a multitude of dynamic excitations during their lifespan. To account for their effects on the structural system, several load models are used dur…

stat.ML2023★ 3 cited

Physics-informed Gaussian process model for Euler-Bernoulli beam elements

Gledson Rodrigo Tondo, Sebastian Rau, Igor Kavrakov +1

A physics-informed machine learning model, in the form of a multi-output Gaussian process, is formulated using the Euler-Bernoulli beam equation. Given appropriate datasets, the mo…

physics.flu-dyn2022

Framework for a simulation-based aerodynamic shape optimization of bridge decks for different limit state phenomena

Tajammal Abbas, Igor Kavrakov, Guido Morgenthal +1

Wind-induced response governs the design of the long-span bridges. The shape of the deck is one of the most important factors that not only affects the mechanical properties but gr…

physics.flu-dyn2021★ 9 cited

Numerical investigation of the nonlinear interaction between the sinusoidal motion-induced and gust-induced forces acting on bridge decks

Samuel Tesfaye, Igor Kavrakov, Guido Morgenthal

With the increasing spans and complex deck shapes, aerodynamic nonlinearity becomes a crucial concern in the design of long-span bridges. This paper investigates the nonlinear inte…

physics.flu-dyn2021★ 23 cited

Data-driven Aerodynamic Analysis of Structures using Gaussian Processes

Igor Kavrakov, Allan McRobie, Guido Morgenthal

An abundant amount of data gathered during wind tunnel testing and health monitoring of structures inspires the use of machine learning methods to replicate the wind forces. This p…