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    Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks 

    Source: Journal of Engineering Mechanics:;2021:;Volume ( 147 ):;issue: 010:;page 04021061-1
    Author(s): Thomas Simpson; Nikolaos Dervilis; Eleni Chatzi
    Publisher: ASCE
    Abstract: In analyzing and assessing the condition of dynamical systems, it is necessary to account for nonlinearity. Recent advances in computation have rendered previously computationally infeasible analyses readily executable on ...
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    Framework for Balancing Structural Efficiency and Operational Energy in Tall Buildings 

    Source: Journal of Architectural Engineering:;2019:;Volume ( 025 ):;issue: 003
    Author(s): Juliana Felkner; Joseph Schwartz; Eleni Chatzi
    Publisher: American Society of Civil Engineers
    Abstract: Buildings are responsible for a third of worldwide energy demand as well as anthropogenic greenhouse gas emissions. Therefore, a holistic approach for energy-efficient design over the life cycle of buildings is necessary. ...
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    Gaussian Process–Based Optimal Design of a Negative Stiffness Device under Stochastic Seismic Excitation 

    Source: Journal of Engineering Mechanics:;2025:;Volume ( 151 ):;issue: 003:;page 04024119-1
    Author(s): Kyriakos Alexandros Chondrogiannis; Giacomo Arcieri; Eleni Chatzi; Vasilis Dertimanis
    Publisher: American Society of Civil Engineers
    Abstract: The protection of buildings under seismic events necessitates the development of efficient vibration mitigation devices. The recently proposed negative stiffness vibration (NegSV) device materializes such a seismic protection ...
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    Guided Wave–Based Defect Localization via Parameterized FRF-Based Reduced-Order Models 

    Source: Journal of Engineering Mechanics:;2024:;Volume ( 150 ):;issue: 009:;page 04024059-1
    Author(s): Paul Sieber; Konstantinos Agathos; Rohan Soman; Wieslaw Ostachowicz; Eleni Chatzi
    Publisher: American Society of Civil Engineers
    Abstract: The use of Lamb waves within a guided wave (GW)–based scheme holds promise toward monitoring and nondestructive evaluation (NDE) of plate structures. Their short wavelength enables interaction with small defects and they ...
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    Structural Dynamics Feature Learning Using a Supervised Variational Autoencoder 

    Source: Journal of Engineering Mechanics:;2025:;Volume ( 151 ):;issue: 002:;page 04024106-1
    Author(s): Kiran Bacsa; Wei Liu; Imad Abdallah; Eleni Chatzi
    Publisher: American Society of Civil Engineers
    Abstract: In this study, we propose a novel approach for learning structural dynamics and discover useful features using a supervised variational autoencoder (SVAE) with the aim of executing classification tasks that feed into ...
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    Modal Identification and Dynamic Response Assessment of a Tensairity Girder 

    Source: Journal of Structural Engineering:;2017:;Volume ( 143 ):;issue: 002
    Author(s): Roman Klis; Eleni Chatzi; Cèdric Galliot; Rolf Luchsinger; Glauco Feltrin
    Publisher: American Society of Civil Engineers
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    A Robotic Automated Solution for Operational Modal Analysis of Bridges with High-Resolution Mode Shape Recovery 

    Source: Journal of Structural Engineering:;2024:;Volume ( 150 ):;issue: 008:;page 04024081-1
    Author(s): Xudong Jian; Zhilu Lai; Kiran Bacsa; Yuguang Fu; Chan Ghee Koh; Limin Sun; Andreas Wieser; Eleni Chatzi
    Publisher: American Society of Civil Engineers
    Abstract: This study presents a robot-assisted solution for the automated identification of bridge frequencies and high-spatial-resolution mode shapes using a minimal number of sensors. The proposed approach employs programmable ...
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    State Estimation for Prediction of Fatigue Life for a Rollercoaster Connection Subjected to Operational Multiaxial Nonproportional Loading 

    Source: Journal of Structural Engineering:;2021:;Volume ( 147 ):;issue: 005:;page 04021041-1
    Author(s): Sofia Puerto Tchemodanova; Konstantinos Tatsis; Masoud Sanayei; Eleni Chatzi; Vasilis Dertimanis
    Publisher: ASCE
    Abstract: Recent research on structural health monitoring has shown the applicability of Kalman filtering for fusion of models and data of dynamic systems. In this study, the augmented Kalman filter (AKF) is combined with a ...
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