Necati Catbas
Necati Catbas
Professor of Civil Engineering, University of Central Florida & Bogazici University
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Zitiert von
Zitiert von
Structural health monitoring and reliability estimation: Long span truss bridge application with environmental monitoring data
FN Catbas, M Susoy, DM Frangopol
Engineering structures 30 (9), 2347-2359, 2008
Statistical pattern recognition for Structural Health Monitoring using time series modeling: Theory and experimental verifications
M Gul, FN Catbas
Mechanical Systems and Signal Processing 23 (7), 2192-2204, 2009
Condition and damage assessment: issues and some promising indices
FN Catbas, AE Aktan
Journal of Structural Engineering 128 (8), 1026-1036, 2002
Issues in infrastructure health monitoring for management
AE Aktan, FN Catbas, KA Grimmelsman, CJ Tsikos
Journal of Engineering Mechanics 126 (7), 711-724, 2000
Structural identification of constructed systems: approaches, methods, and technologies for effective practice of St-Id
FN Çatbaş, T Kijewski-Correa, AE Aktan
American Society of Civil Engineers, 2013
Structural identification: Analytical aspects
E Aktan, N Çatbaş, A Türer, Z Zhang
Journal of structural engineering 124 (7), 817-829, 1998
Development of a model health monitoring guide for major bridges
AE Aktan, FN Catbas, KA Grimmelsman, M Pervizpour
Drexel intelligent infrastructure and transportation safety institute, 183-230, 2003
Parameter estimation for multiple-input multiple-output modal analysis of large structures
FN Catbas, DL Brown, AE Aktan
Journal of engineering mechanics 130 (8), 921-930, 2004
Structural health monitoring and damage assessment using a novel time series analysis methodology with sensor clustering
M Gul, FN Catbas
Journal of Sound and Vibration 330 (6), 1196-1210, 2011
Use of modal flexibility for damage detection and condition assessment: case studies and demonstrations on large structures
FN Catbas, DL Brown, AE Aktan
Journal of Structural Engineering 132 (11), 1699-1712, 2006
A review of computer vision–based structural health monitoring at local and global levels
CZ Dong, FN Catbas
Structural Health Monitoring 20 (2), 692-743, 2021
Completely contactless structural health monitoring of real‐life structures using cameras and computer vision
T Khuc, FN Catbas
Structural Control and Health Monitoring 24 (1), e1852, 2017
Limitations in structural identification of large constructed structures
FN Catbas, SK Ciloglu, O Hasancebi, KA Grimmelsman, AE Aktan
Journal of Structural Engineering, 2007
A framework for intelligent sensor network with video camera for structural health monitoring of bridges
A Basharat, N Catbas, M Shah
Third IEEE International Conference on Pervasive Computing and …, 2005
Computer vision-based displacement and vibration monitoring without using physical target on structures
T Khuc, FN Catbas
Structure and Infrastructure Engineering 13 (4), 505-516, 2017
Damage assessment using flexibility and flexibility-based curvature for structural health monitoring
FN Catbas, M Gul, JL Burkett
Smart materials and structures 17 (1), 015024, 2007
Integration of computer imaging and sensor data for structural health monitoring of bridges
R Zaurin, FN Catbas
Smart Materials and Structures 19 (1), 015019, 2009
Ambient vibration data analysis for structural identification and global condition assessment
M Gul, FN Catbas
Journal of Engineering Mechanics 134 (8), 650-662, 2008
Conceptual damage-sensitive features for structural health monitoring: laboratory and field demonstrations
FN Catbas, M Gul, JL Burkett
Mechanical systems and signal processing 22 (7), 1650-1669, 2008
Damage assessment with ambient vibration data using a novel time series analysis methodology
M Gul, FN Catbas
Journal of Structural Engineering 137 (12), 1518-1526, 2011
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