TY  - CHAP
A1  - Marinković, Marko
A1  - Butenweg, Christoph
ED  - Papadrakakis, Manolis
ED  - Fragiadakis, Michalis
T1  - Experimental and numerical analysis of RC frames with decoupled masonry infills
T2  - 7th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering
N2  - Masonry infill walls are commonly used in reinforced concrete (RC) frame structures, also in seismically active areas, although they often experience serious damage during earthquakes. One of the main reasons for their poor behaviour is the connection to the frame, which is usually constructed using mortar. This paper describes the novel solution for infill/frame connection based on application of elastomeric material between them. The system called INODIS (Innovative Decoupled Infill System) has the aim to postpone the activation of infill in in-plane direction and at the same time to provide sufficient out-of-plane support. First, experimental tests on infilled frame specimens are presented and the comparison of the results between traditionally infilled frames and infilled frames with the INODIS system are given. The results are then used for calibration and validation of numerical model, which can be further employed for investigating the influence of some material parameters on the behaviour of infilled frames with the INODIS system.
KW  - Earthquake
KW  - In-plane
KW  - Out-of-plane
KW  - Isolation
KW  - Seismic
Y1  - 2019
SN  - 978-618-82844-5-6
U6  - http://dx.doi.org/10.7712/120119.7088.18845
SN  - 2623-3347
N1  - COMPDYN 2019, 24-26 June 2019, Crete, Greece.
SP  - 2464
EP  - 2479
PB  - National Technical University of Athens
CY  - Athen
ER  - 
TY  - CHAP
A1  - Michel, Philipp
A1  - Alder, Philipp
A1  - Butenweg, Christoph
A1  - Klinkel, Sven
T1  - Berechnung der Fluid-Struktur-Interaktion für flexibel gelagerte Flüssigkeitstanks
T2  - 16. D-A-CH Tagung Erdbebeningenieurwesen & Baudynamik: 26. und 27. September 2019, Universität Innsbruck
Y1  - 2019
SN  - 978-3-200-06454-6
ER  - 
TY  - CHAP
A1  - Ketelhut, Maike
A1  - Göll, Fabian
A1  - Braunstein, Bjoern
A1  - Albracht, Kirsten
A1  - Abel, Dirk
T1  - Iterative learning control of an industrial robot for neuromuscular training
T2  - 2019 IEEE Conference on Control Technology and Applications
N2  - Effective training requires high muscle forces potentially leading to training-induced injuries. Thus, continuous monitoring and controlling of the loadings applied to the musculoskeletal system along the motion trajectory is required. In this paper, a norm-optimal iterative learning control algorithm for the robot-assisted training is developed. The algorithm aims at minimizing the external knee joint moment, which is commonly used to quantify the loading of the medial compartment. To estimate the external knee joint moment, a musculoskeletal lower extremity model is implemented in OpenSim and coupled with a model of an industrial robot and a force plate mounted at its end-effector. The algorithm is tested in simulation for patients with varus, normal and valgus alignment of the knee. The results show that the algorithm is able to minimize the external knee joint moment in all three cases and converges after less than seven iterations.
KW  - Knee
KW  - Training
KW  - Load modeling
KW  - Force
KW  - Iterative learning control
Y1  - 2019
SN  - 978-1-7281-2767-5 (ePub)
SN  - 978-1-7281-2766-8 (USB)
SN  - 978-1-7281-2768-2 (PoD)
U6  - http://dx.doi.org/10.1109/CCTA.2019.8920659
N1  - 2019 IEEE Conference on Control Technology and Applications (CCTA) Hong Kong, China, August 19-21, 2019
PB  - IEEE
CY  - New York
ER  -