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Olivier, Audrey / Mohammadi, Sevin / Smyth, Andrew W. / Adams, Matt (2023): Bayesian neural networks with physics‐aware regularization for probabilistic travel time modeling. In: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 18 (14 November 2023).
https://doi.org/10.1111/mice.13047
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Impraimakis, Marios / Smyth, Andrew W. (2022): Input–parameter–state estimation of limited information wind‐excited systems using a sequential Kalman filter. In: Structural Control and Health Monitoring, v. 29, n. 4 (14 März 2022).
https://doi.org/10.1002/stc.2919
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Pei, Jin-Song / Smyth, Andrew W. / Wright, Joseph P. (2005): A Constructive Neural Network Approach for Simulation and Identification of Nonlinear Dynamic Systems. Vorgetragen bei: 2005 Structures Congress: Metropolis and Beyond & 2005 Forensic Engineering Symposium, New York (New York), USA, 20-24 April 2005.
https://doi.org/10.1061/40753(171)85
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Kontoroupi, Thaleia / Smyth, Andrew W. (2016): Online Noise Identification for Joint State and Parameter Estimation of Nonlinear Systems. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 2, n. 3 (September 2016).
https://doi.org/10.1061/ajrua6.0000839
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Bartilson, Daniel T. / Jang, Jinwoo / Smyth, Andrew W. (2020): Sensitivity‐based singular value decomposition parametrization and optimal regularization in finite element model updating. In: Structural Control and Health Monitoring, v. 27, n. 6 (Juni 2020).
https://doi.org/10.1002/stc.2539
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Jang, Jinwoo / Smyth, Andrew W. (2019): Data‐driven models for temperature distribution effects on natural frequencies and thermal prestress modeling. In: Structural Control and Health Monitoring, v. 27, n. 2 (November 2019).
https://doi.org/10.1002/stc.2489
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Olivier, Audrey / Smyth, Andrew W. (2018): On the Performance of Online Parameter Estimation Algorithms in Systems with Various Identifiability Properties. In: Frontiers in Built Environment, v. 3 (Februar 2018).
https://doi.org/10.3389/fbuil.2017.00014
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Olivier, Audrey / Smyth, Andrew W. (2017): Review of Nonlinear Filtering for SHM with an Exploration of Novel Higher-Order Kalman Filtering Algorithms for Uncertainty Quantification. In: Journal of Engineering Mechanics (ASCE), v. 143, n. 11 (November 2017).
https://doi.org/10.1061/(asce)em.1943-7889.0001276
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Brewick, Patrick T. / Smyth, Andrew W. (2015): Exploration of the Impacts of Driving Frequencies on Damping Estimates. In: Journal of Engineering Mechanics (ASCE), v. 141, n. 3 (März 2015).
https://doi.org/10.1061/(asce)em.1943-7889.0000847
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Greenbaum, Raphael J. Y. / Smyth, Andrew W. / Chatzis, Manolis N. (2016): Monocular Computer Vision Method for the Experimental Study of Three-Dimensional Rocking Motion. In: Journal of Engineering Mechanics (ASCE), v. 142, n. 1 (Januar 2016).
https://doi.org/10.1061/(asce)em.1943-7889.0000972
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Smyth, Andrew W. / Gjelsvik, Atle (2006): Energy Capacity Criterion for the Design of Columns against Collapse. In: Journal of Engineering Mechanics (ASCE), v. 132, n. 6 (Juni 2006).
https://doi.org/10.1061/(asce)0733-9399(2006)132:6(594)
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Pei, Jin-Song / Smyth, Andrew W. (2006): New Approach to Designing Multilayer Feedforward Neural Network Architecture for Modeling Nonlinear Restoring Forces. I: Formulation. In: Journal of Engineering Mechanics (ASCE), v. 132, n. 12 (Dezember 2006).
https://doi.org/10.1061/(asce)0733-9399(2006)132:12(1290)
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Pei, Jin-Song / Smyth, Andrew W. (2006): New Approach to Designing Multilayer Feedforward Neural Network Architecture for Modeling Nonlinear Restoring Forces. II: Applications. In: Journal of Engineering Mechanics (ASCE), v. 132, n. 12 (Dezember 2006).
https://doi.org/10.1061/(asce)0733-9399(2006)132:12(1301)
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Ashrafi, S. Ali / Smyth, Andrew W. (2007): Generalized Masing Approach to Modeling Hysteretic Deteriorating Behavior. In: Journal of Engineering Mechanics (ASCE), v. 133, n. 5 (Mai 2007).
https://doi.org/10.1061/(asce)0733-9399(2007)133:5(495)
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Ashrafi, Seyed Ali / Smyth, Andrew W. (2008): Adaptive Parametric Identification Scheme for a Class of Nondeteriorating and Deteriorating Nonlinear Hysteretic Behavior. In: Journal of Engineering Mechanics (ASCE), v. 134, n. 6 (Juni 2008).
https://doi.org/10.1061/(asce)0733-9399(2008)134:6(482)
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Brewick, Patrick T. / Hernandez-Garcia, Miguel / Masri, Sami F. / Smyth, Andrew W. (2018): A Data-based Probabilistic Approach for the Generation of Spectra-Compatible Time-History Records. In: Journal of Earthquake Engineering, v. 22, n. 8 ( 2018).
https://doi.org/10.1080/13632469.2017.1286618
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Chatzi, Eleni N. / Hiriyur, Badri / Waisman, Haim / Smyth, Andrew W. (2011): Experimental application and enhancement of the XFEM–GA algorithm for the detection of flaws in structures. In: Computers & Structures, v. 89, n. 7-8 (April 2011).
https://doi.org/10.1016/j.compstruc.2010.12.014
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Jang, Jinwoo / Yang, Yong / Smyth, Andrew W. / Cavalcanti, Dave / Kumar, Rohit (2017): Framework of Data Acquisition and Integration for the Detection of Pavement Distress via Multiple Vehicles. In: Journal of Computing in Civil Engineering, v. 31, n. 2 (März 2017).
https://doi.org/10.1061/(asce)cp.1943-5487.0000618
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Chatzi, Eleni N. / Smyth, Andrew W. / Masri, Sami F. (2010): Experimental application of on-line parametric identification for nonlinear hysteretic systems with model uncertainty. In: Structural Safety, v. 32, n. 5 (September 2010).
https://doi.org/10.1016/j.strusafe.2010.03.008
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Chatzi, Eleni N. / Smyth, Andrew W. (2013): Particle filter scheme with mutation for the estimation of time-invariant parameters in structural health monitoring applications. In: Structural Control and Health Monitoring, v. 20, n. 7 (Juli 2013).
https://doi.org/10.1002/stc.1520
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Chatzis, Manolis N. / Chatzi, Eleni N. / Smyth, Andrew W. (2015): On the observability and identifiability of nonlinear structural and mechanical systems. In: Structural Control and Health Monitoring, v. 22, n. 3 (März 2015).
https://doi.org/10.1002/stc.1690
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Kontoroupi, Thaleia / Smyth, Andrew W. (2017): Online Bayesian model assessment using nonlinear filters. In: Structural Control and Health Monitoring, v. 24, n. 3 (März 2017).
https://doi.org/10.1002/stc.1880
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Olivier, Audrey / Smyth, Andrew W. (2017): Particle filtering and marginalization for parameter identification in structural systems. In: Structural Control and Health Monitoring, v. 24, n. 3 (März 2017).
https://doi.org/10.1002/stc.1874
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Lin, Jeng-Wen / Betti, Raimondo / Smyth, Andrew W. / Longman, Richard W. (2001): On-line identification of non-linear hysteretic structural systems using a variable trace approach. In: Earthquake Engineering and Structural Dynamics, v. 30, n. 9 (September 2001).
https://doi.org/10.1002/eqe.63
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Mosquera, Virginia / Smyth, Andrew W. / Betti, Raimondo (2012): Rapid evaluation and damage assessment of instrumented highway bridges. In: Earthquake Engineering and Structural Dynamics, v. 41, n. 4 (10 April 2012).
https://doi.org/10.1002/eqe.1155
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Joung, JinWook / Smyth, Andrew W. / Chung, Lan (2010): Comparison of switching control algorithms effective in restricting the switching in the neighborhood of the origin. In: Smart Materials and Structures, v. 19, n. 6 (Juni 2010).
https://doi.org/10.1088/0964-1726/19/6/065003
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Chatzi, Eleni N. / Smyth, Andrew W. (2009): The unscented Kalman filter and particle filter methods for nonlinear structural system identification with non-collocated heterogeneous sensing. In: Structural Control and Health Monitoring, v. 16, n. 1 (Februar 2009).
https://doi.org/10.1002/stc.290
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Ashrafi, Seyed Ali / Smyth, Andrew W. / Betti, Raimondo (2006): A parametric identification scheme for non-deteriorating and deteriorating non-linear hysteretic behaviour. In: Structural Control and Health Monitoring, v. 13, n. 1 (Januar 2006).
https://doi.org/10.1002/stc.142
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Wu, Meiliang / Smyth, Andrew W. (2007): Application of the unscented Kalman filter for real-time nonlinear structural system identification. In: Structural Control and Health Monitoring, v. 14, n. 7 (November 2007).
https://doi.org/10.1002/stc.186
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Smyth, Andrew W. / Pei, Jin-Song / Masri, Sami F. (2003): System identification of the Vincent Thomas suspension bridge using earthquake records. In: Earthquake Engineering and Structural Dynamics, v. 32, n. 3 (März 2003).
https://doi.org/10.1002/eqe.226