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Deep CNNs and Adversarial Regularization for Fatigue Damage Failure Prediction of Concrete Anchors
(2020)Fatigue experiments present with large scatter even for identical specimens tested under controlled laboratory conditions. It has long been known that variations in the mechanical behavior of fatigued metals occur, such as hardening or softening and variations on the shape of hysteresis curves. In order to incorporate measurements in the fatigue life prediction of concrete anchors, a fully data-driven model, using load-displacement and ...Conference Poster -
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Can we use only one 6C-station to perform deep characterisation of a building?
(2022)Conference Poster -
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A Nonlinear Metamaterial Induced by Nonlinear Damping Effect with Inertia Amplifiers
(2022)Conference Poster -
On the attenuation properties of lattice structures consisting of impact dampers in periodic arrangement
(2021)Conference Poster -
Assessing a 6C Kalman filter using experimental datasets from an industrial robot
(2020)Conference Poster -
Numerical Investigation of Structured Materials for Vibration Control
(2020)Papers und Präsentationen der COMSOL Conference 2020Conference Poster