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20232026
most citedStochastic stiffness identification and response estimation of Timoshenko beams via physics-informed Gaussian processes

17 citations · 43 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.CE2026

Modelling non-linear aeroelastic loads in long-span bridges with extreme learning machines

Gledson Rodrigo Tondo, Samir Chawdhury, Sergio Andres Castro Giraldo +1

Accurate modelling of aerodynamic loads is essential for predicting instabilities and ensuring the safety of long-span bridges. A methodology is introduced for modelling aerodynami…

cs.LG2026

Aerodynamic force reconstruction using physics-informed Gaussian processes

Gledson Rodrigo Tondo, Igor Kavrakov, Guido Morgenthal

Accurate modeling of aerodynamic loads is essential for understanding and predicting the responses of complex structural systems. However, these models often rely on simplification…

cs.CE2026

Data Driven Calibration of Analytical Concrete Creep Models Considering Preloading Effects Using Gaussian Processes

Leonie Heller, Christopher Taube, Gledson Rodrigo Tondo +1

The time-dependent deformation of concrete, particularly creep, remains a key challenge for reliable and material-efficient design. Experimental results show that tailored preloadi…

cs.CE2026

The role of physical models in the validation and calibration of numerical models -- The example of the Lillebælt Bridge

Paula Apollonia Wunderlich, Gledson Rodrigo Tondo, Guido Morgenthal

With the rapid advancement of computer technologies enabling fast calculations of complex structures, numerical methods have become a central tool in engineering sciences, while ph…

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…