Search Results - "Eftekhar Azam, Saeed"

A dual Kalman filter approach for state estimation via output-only acceleration measurements by Eftekhar Azam, Saeed, Chatzi, Eleni, Papadimitriou, Costas

“…A dual implementation of the Kalman filter is proposed for estimating the unknown input and states of a linear state-space model by using sparse noisy…”
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Damage detection in structural systems utilizing artificial neural networks and proper orthogonal decomposition by Eftekhar Azam, Saeed, Rageh, Ahmed, Linzell, Daniel

“…Summary A supervised learning scheme is proposed for detecting, locating, and quantifying the intensity of damage in structures using Artificial Neural…”
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Steel railway bridge fatigue damage detection using numerical models and machine learning: Mitigating influence of modeling uncertainty by Rageh, Ahmed, Eftekhar Azam, Saeed, Linzell, Daniel G.

“…Stringer-to-floor beam connections were reported as one of the most fatigue-prone details in riveted steel railway bridges. To detect stiffness degradation…”
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Mechanical Characterization of Polysilicon MEMS: A Hybrid TMCMC/POD-Kriging Approach by Mirzazadeh, Ramin, Eftekhar Azam, Saeed, Mariani, Stefano

“…Microscale uncertainties related to the geometry and morphology of polycrystalline silicon films, constituting the movable structures of micro…”
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A Bayesian smoothing for input‐state estimation of structural systems by Ebrahimzadeh Hassanabadi, Mohsen, Heidarpour, Amin, Eftekhar Azam, Saeed, Arashpour, Mehrdad

“…Instantaneous output‐only inversion of a system with delayed appearance of input influences on the measured outputs via filtering methods suffer from intensive…”
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Fatigue crack detection in welded structural components of steel bridges using artificial neural network by Mashayekhi, Maryam, Santini-Bell, Erin, Eftekhar Azam, Saeed

“…Under the cyclic traffic loads, welded structural components of steel bridges may encounter fatigue, which can cause a shorter service life and lead to…”
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A linear Bayesian filter for input and state estimation of structural systems by Ebrahimzadeh Hassanabadi, Mohsen, Liu, Zihao, Eftekhar Azam, Saeed, Dias‐da‐Costa, Daniel

“…This paper proposes a linear recursive Bayesian filter for minimum variance unbiased joint input and state estimation of structural systems. Unlike the…”
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System Identification via Unscented Kalman Filtering and Model Class Selection by Rosafalco, Luca, Eftekhar Azam, Saeed, Mariani, Stefano, Corigliano, Alberto

“…Identifying the mechanical properties of civil structures is required for life-cycle assessment. Kalman filters are exploited for this goal, enabling the…”
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Novel Physics-Informed Artificial Neural Network Architectures for System and Input Identification of Structural Dynamics PDEs by Moradi, Sarvin, Duran, Burak, Eftekhar Azam, Saeed, Mofid, Massood

“…Herein, two novel Physics Informed Neural Network (PINN) architectures are proposed for output-only system identification and input estimation of dynamic…”
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Micromechanical Characterization of Polysilicon Films through On-Chip Tests by Mirzazadeh, Ramin, Eftekhar Azam, Saeed, Mariani, Stefano

“…When the dimensions of polycrystalline structures become comparable to the average grain size, some reliability issues can be reported for the moving parts of…”
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Damage Detection in Flexible Plates through Reduced-Order Modeling and Hybrid Particle-Kalman Filtering by Capellari, Giovanni, Azam, Saeed Eftekhar, Mariani, Stefano

“…Health monitoring of lightweight structures, like thin flexible plates, is of interest in several engineering fields. In this paper, a recursive Bayesian…”
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Automated, strain-based, output-only bridge damage detection by Rageh, Ahmed, Linzell, Daniel G., Eftekhar Azam, Saeed

“…This paper presents a framework for automated damage detection using a continuous stream of structural health monitoring data. The study utilized measured…”
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Online damage detection in structural systems via dynamic inverse analysis: A recursive Bayesian approach by Eftekhar Azam, Saeed, Mariani, Stefano

“…•Hybrid particle filter is studied for its application to online system identification of structural systems.•Reduced order modelling is employed for treating…”
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On Bayesian active vibration control of structures subjected to moving inertial loads by Moradi, Sarvin, Eftekhar Azam, Saeed, Mofid, Massood

“…•A novel active control framework is proposed for vibration mitigation in structural systems.•Three recursive Bayesian methods are studied for virtual sensing…”
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Auto-regressive model based input and parameter estimation for nonlinear finite element models by Castiglione, Juan, Astroza, Rodrigo, Eftekhar Azam, Saeed, Linzell, Daniel

“…•A new method for updating mechanics-based nonlinear FE model of structures subjected to unmeasured inputs.•Unknown input excitations are represented by…”
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Experimental validation and numerical investigation of virtual strain sensing methods for steel railway bridges by Eftekhar Azam, Saeed, Masanes Didyk, Martin, Linzell, Daniel, Rageh, Ahmed

“…•Three virtual sensing methods are studied for strain prediction in railway bridges.•The effects of modeling errors induced by neglecting inertial effects of…”
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Experimental validation of the Kalman-type filters for online and real-time state and input estimation by Azam, Saeed Eftekhar, Chatzi, Eleni, Papadimitriou, Costas, Smyth, Andrew

“…In this study, a novel dual implementation of the Kalman filter proposed by Eftekhar Azam et al. (2014, 2015) is experimentally validated for simultaneous…”
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Unsupervised Machine Learning for Robust Bridge Damage Detection: Full-Scale Experimental Validation by Akintunde, Emmanuel, Eftekhar Azam, Saeed, Rageh, Ahmed, Linzell, Daniel G.

“…•An unsupervised Machine Learning scheme is developed for bridge damage detection•Validation is carried out using full scale experiments, a crash test for…”
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Evaluating pod-based unsupervised damage identification using controlled damage propagation of out-of-service bridges by Ardani, Samira, Akintunde, Emmanuel, Linzell, Daniel, Eftekhar Azam, Saeed, Alomari, Qusai

“…•The POD-based methodology and the developed novelty index are evaluated for damage identification of three out of service bridges using live load tests of…”
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Recursive principal component analysis for model order reduction with application in nonlinear Bayesian filtering by Ebrahimzadeh Hassanabadi, Mohsen, Heidarpour, Amin, Eftekhar Azam, Saeed, Arashpour, Mehrdad

“…Proper orthogonal decomposition (POD) is a useful technique for feature extraction, model order reduction and data compression and has been widely used in…”
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