Claus-Peter Fritzen
Claus-Peter Fritzen
Professor für Techn. Mechanik, University of Siegen
Verified email at - Homepage
Cited by
Cited by
Structural health monitoring
D Balageas, CP Fritzen, A Güemes
John Wiley & Sons, 2010
Damage detection based on model updating methods
CP Fritzen, D Jennewein, T Kiefer
Mechanical systems and signal processing 12 (1), 163-186, 1998
Identification of mass, damping, and stiffness matrices of mechanical systems
CP Fritzen
The connection between effective independence and modal kinetic energy methods for sensor placement
DS Li, HN Li, CP Fritzen
Journal of sound and vibration 305 (4-5), 945-955, 2007
Fatigue predictions in entire body of metallic structures from a limited number of vibration sensors using Kalman filtering
C Papadimitriou, CP Fritzen, P Kraemer, E Ntotsios
Structural Control and Health Monitoring 18 (5), 554-573, 2011
Vibration-based structural health monitoring–concepts and applications
CP Fritzen
Key Engineering Materials 293, 3-20, 2005
Highly Sensitive Electromechanical Piezoresistive Pressure Sensors Based on Large-Area Layered PtSe2 Films
S Wagner, C Yim, N McEvoy, S Kataria, V Yokaribas, A Kuc, S Pindl, ...
Nano letters 18 (6), 3738-3745, 2018
Multi-site damage localization in anisotropic plate-like structures using an active guided wave structural health monitoring system
J Moll, RT Schulte, B Hartmann, CP Fritzen, O Nelles
Smart materials and structures 19 (4), 045022, 2010
Experimental characterization and two-dimensional simulation of short-crack propagation in an austenitic–ferritic duplex steel
O Düber, B Künkler, U Krupp, HJ Christ, CP Fritzen
International Journal of Fatigue 28 (9), 983-992, 2006
Modelling of short crack propagation–Transition from stage I to stage II
B Künkler, O Düber, P Köster, U Krupp, CP Fritzen, HJ Christ
Engineering Fracture Mechanics 75 (3-4), 715-725, 2008
A study of two unsupervised data driven statistical methodologies for detecting and classifying damages in structural health monitoring
DA Tibaduiza, MA Torres-Arredondo, LE Mujica, J Rodellar, CP Fritzen
Mechanical Systems and Signal Processing 41 (1-2), 467-484, 2013
Open guided waves: online platform for ultrasonic guided wave measurements
J Moll, J Kathol, CP Fritzen, M Moix-Bonet, M Rennoch, M Koerdt, ...
Structural Health Monitoring 18 (5-6), 1903-1914, 2019
The significance of microstructural barriers during fatigue of a duplex steel in the high-and very-high-cycle-fatigue (HCF/VHCF) regime
U Krupp, H Knobbe, HJ Christ, P Köster, CP Fritzen
International Journal of Fatigue 32 (6), 914-920, 2010
Self-diagnosis of smart structures based on dynamical properties
CP Fritzen, P Kraemer
Mechanical Systems and Signal Processing 23 (6), 1830-1845, 2009
A finite element updating approach for identification of the anisotropic hyperelastic properties of normal and diseased aortic walls from 4D ultrasound strain imaging
A Wittek, W Derwich, K Karatolios, CP Fritzen, S Vogt, T Schmitz-Rixen, ...
Journal of the mechanical behavior of biomedical materials 58, 122-138, 2016
Updating of finite element models by means of measured information
CP Fritzen, S Zhu
Computers & Structures 40 (2), 475-486, 1991
Non-axisymmetric Lamb wave excitation by piezoelectric wafer active sensors
J Moll, MV Golub, E Glushkov, N Glushkova, CP Fritzen
Sensors and Actuators A: Physical 174, 173-180, 2012
Application of the EBSD technique to describe the initiation and growth behaviour of microstructurally short fatigue cracks in a duplex steel
U Krupp, O Düber, HJ Christ, B Künkler, A Schick, CP Fritzen
Journal of microscopy 213 (3), 313-320, 2004
A note on fast computation of effective independence through QR downdating for sensor placement
DS Li, HN Li, CP Fritzen
Mechanical Systems and Signal Processing 23 (4), 1160-1168, 2009
Results obtained by minimising natural frequency and mac-value errors of a plate model
K Bohle, CP Fritzen
Mechanical Systems and Signal Processing 17 (1), 55-64, 2003
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