Univ.-Prof. Dr.-Ing. habil. Okyay Altay
Lehrstuhl für Baustatik - Professor
Büroadresse
Prof. Altay ist seit 2024 Inhaber des Lehrstuhls für Baustatik. Zuvor war er an der RWTH Aachen als Akademischer Oberrat am Lehrstuhl für Baustatik und Baudynamik sowie als Geschäftsführer des Centers for Wind and Earthquake Engineering tätig. 2021 habilitierte er sich an der RWTH mit Arbeiten zur adaptiven Schwingungsreduktion, Materialmodellierung und Echtzeitsimulation und promovierte 2013 mit Auszeichnung zum Thema Flüssigkeitsdämpfer.
Vor seiner wissenschaftlichen Laufbahn arbeitete er bei Bernard Ingenieure in Wien als Projektleiter und später als stellvertretender Geschäftsführer der Tochtergesellschaft RED Bernard im Bereich Brückenüberwachung und Schwingungsreduktion. Sein Studium des Bauingenieurwesens mit Vertiefung im Konstruktiven Ingenieurbau absolvierte er an der RWTH Aachen University, nachdem er seine Schulbildung am TED Ankara College in der Türkei abgeschlossen hatte.
Publikationen
A new set of test functions for variational physics-informed neural networks in solid mechanics
A new set of test functions for variational physics-informed neural networks in solid mechanics
A novel boundary-based machine learning approach for 2D crack analysis in elastic and piezoelectric materials
A novel boundary-based machine learning approach for 2D crack analysis in elastic and piezoelectric materials
Semi-active vibration control of monopile-supported offshore wind turbines at scour sites
Semi-active vibration control of monopile-supported offshore wind turbines at scour sites
Active learning with neural ordinary differential equations for data-efficient modeling of tuned mass dampers
Active learning with neural ordinary differential equations for data-efficient modeling of tuned mass dampers
A novel boundary-based machine learning approach for 2D crack analysis in elastic and piezoelectric materials
A novel boundary-based machine learning approach for 2D crack analysis in elastic and piezoelectric materials
A novel boundary-based machine learning approach for 2D crack analysis in elastic and piezoelectric materials
A novel boundary-based machine learning approach for 2D crack analysis in elastic and piezoelectric materials
Semi-active omnidirectional liquid column vibration absorber with rapid frequency adjustment capability
Semi-active omnidirectional liquid column vibration absorber with rapid frequency adjustment capability
Semi-active omnidirectional liquid column vibration absorber with rapid frequency adjustment capability
Semi-active omnidirectional liquid column vibration absorber with rapid frequency adjustment capability
Semi-active omnidirectional liquid column vibration absorber with rapid frequency adjustment capability
Semi-active omnidirectional liquid column vibration absorber with rapid frequency adjustment capability
Feedforward neural network-assisted parameter identification and tuning for uniaxial superelastic shape memory alloy models under dynamic loads
Feedforward neural network-assisted parameter identification and tuning for uniaxial superelastic shape memory alloy models under dynamic loads
Feedforward neural network-assisted parameter identification and tuning for uniaxial superelastic shape memory alloy models under dynamic loads
Feedforward neural network-assisted parameter identification and tuning for uniaxial superelastic shape memory alloy models under dynamic loads
Semi-active omnidirectional liquid column vibration absorber with rapid frequency adjustment capability
Semi-active omnidirectional liquid column vibration absorber with rapid frequency adjustment capability