Andrew Smyth
Andrew Smyth
Professor of Civil Engineering and Engineering Mechanics, Columbia University
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Cited by
Cited by
The unscented Kalman filter and particle filter methods for nonlinear structural system identification with non‐collocated heterogeneous sensing
EN Chatzi, AW Smyth
Structural Control and Health Monitoring: The Official Journal of the …, 2009
Multi-rate Kalman filtering for the data fusion of displacement and acceleration response measurements in dynamic system monitoring
A Smyth, M Wu
Mechanical systems and signal processing 21 (2), 706-723, 2007
Application of the unscented Kalman filter for real‐time nonlinear structural system identification
M Wu, AW Smyth
Structural Control and Health Monitoring: The Official Journal of the …, 2007
Application of neural networks for detection of changes in nonlinear systems
SF Masri, AW Smyth, AG Chassiakos, TK Caughey, NF Hunter
Journal of Engineering Mechanics 126 (7), 666-676, 2000
On-line parametric identification of MDOF nonlinear hysteretic systems
AW Smyth, SF Masri, AG Chassiakos, TK Caughey
Journal of engineering mechanics 125 (2), 133-142, 1999
Development of adaptive modeling techniques for non-linear hysteretic systems
AW Smyth, SF Masri, EB Kosmatopoulos, AG Chassiakos, TK Caughey
International journal of non-linear mechanics 37 (8), 1435-1451, 2002
Impediments to recovery in New Orleans' upper and lower ninth ward: One year after hurricane Katrina
R Green, LK Bates, A Smyth
Disasters 31 (4), 311-335, 2007
On‐line identification of non‐linear hysteretic structural systems using a variable trace approach
JW Lin, R Betti, AW Smyth, RW Longman
Earthquake engineering & structural dynamics 30 (9), 1279-1303, 2001
Probabilistic benefit-cost analysis for earthquake damage mitigation: Evaluating measures for apartment houses in Turkey
AW Smyth, G Altay, G Deodatis, M Erdik, G Franco, P Gülkan, ...
Earthquake Spectra 20 (1), 171-203, 2004
Experimental application of on-line parametric identification for nonlinear hysteretic systems with model uncertainty
EN Chatzi, AW Smyth, SF Masri
Structural Safety 32 (5), 326-337, 2010
Experimental validation of the Kalman-type filters for online and real-time state and input estimation
SE Azam, E Chatzi, C Papadimitriou, A Smyth
Journal of vibration and control 23 (15), 2494-2519, 2017
Joint input-state estimation in structural dynamics
K Maes, AW Smyth, G De Roeck, G Lombaert
Mechanical Systems and Signal Processing 70, 445-466, 2016
Detection and quantification of flaws in structures by the extended finite element method and genetic algorithms
H Waisman, E Chatzi, AW Smyth
International Journal for Numerical Methods in Engineering 82 (3), 303-328, 2010
Experimental application and enhancement of the XFEM–GA algorithm for the detection of flaws in structures
EN Chatzi, B Hiriyur, H Waisman, AW Smyth
Computers & Structures 89 (7-8), 556-570, 2011
System identification of the Vincent Thomas suspension bridge using earthquake records
AW Smyth, JS Pei, SF Masri
Earthquake Engineering & Structural Dynamics 32 (3), 339-367, 2003
On the observability and identifiability of nonlinear structural and mechanical systems
MN Chatzis, EN Chatzi, AW Smyth
Structural Control and Health Monitoring 22 (3), 574-593, 2015
On-line identification of hysteretic systems
AG Chassiakos, SF Masri, AW Smyth, TK Caughey
Identification of the state equation in complex non-linear systems
SF Masri, JP Caffrey, TK Caughey, AW Smyth, AG Chassiakos
International Journal of Non-Linear Mechanics 39 (7), 1111-1127, 2004
Real-time parameter estimation for degrading and pinching hysteretic models
M Wu, A Smyth
International Journal of Non-Linear Mechanics 43 (9), 822-833, 2008
Particle filter scheme with mutation for the estimation of time‐invariant parameters in structural health monitoring applications
EN Chatzi, AW Smyth
Structural Control and Health Monitoring 20 (7), 1081-1095, 2013
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