Univ.-Prof. Dr.-Ing. habil. Okyay Altay
Chair of Structural Engineering - Professor
Office address
Prof. Altay has held the Chair of Structural Analysis at the University of Siegen since 2024. Before that, he served at RWTH Aachen University as Senior Lecturer at the Chair of Structural Analysis and Structural Dynamics and as Managing Director of the Center for Wind and Earthquake Engineering. He completed his habilitation at RWTH in 2021 with research on adaptive vibration reduction, material modeling, and real-time simulations, and earned his doctorate with distinction in 2013 for his work on tuned liquid column dampers.
Prior to his academic career, he worked at Bernard Ingenieure in Vienna as a project manager and later as deputy managing director of the subsidiary RED Bernard, focusing on bridge monitoring and vibration reduction. He studied civil engineering at RWTH Aachen University with a specialization in structural engineering, after completing his schooling at TED Ankara College in Turkey.
Publications
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
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
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
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
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
Physics-informed deep operator network for predicting martensite evolution in superelastic shape memory alloys through cyclic tensile tests
Physics-informed deep operator network for predicting martensite evolution in superelastic shape memory alloys through cyclic tensile tests