Claus-Peter Fritzen
Claus-Peter Fritzen
Professor für Techn. Mechanik, University of Siegen
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TítuloCitado porAño
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
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
Structural health monitoring
Smart materials and structures 10 (3), 2001
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
Vibration-based structural health monitoring–concepts and applications
CP Fritzen
Key Engineering Materials 293, 3-20, 2005
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
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
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
Self-diagnosis of smart structures based on dynamical properties
CP Fritzen, P Kraemer
Mechanical Systems and Signal Processing 23 (6), 1830-1845, 2009
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
Updating of finite element models by means of measured information
CP Fritzen, S Zhu
Computers & Structures 40 (2), 475-486, 1991
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
An updated comparison of the force reconstruction methods
M Klinikov, CP Fritzen
Key Engineering Materials 347, 461-466, 2007
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
Elimination of temperature effects on damage detection within a smart structure concept
CP Fritzen, G Mengelkamp, A Guemes
Structural Health Monitoring, 15-17, 2003
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