Review
Construction & Building Technology
Francisco J. Pallares, Michele Betti, Gianni Bartoli, Luis Pallares
Summary: The scientific community is actively working on proposing reliable analysis methodologies and non-invasive investigation technologies to assess the current state of conservation of historic buildings and to confirm their ability to resist future threats. The focus is on preserving invaluable cultural heritage through suitable structural assessment techniques, with attention paid to monitoring structural health using advanced technological methods like sensors, wireless connections, and continuous monitoring. Research has shown an increase in papers published on Structural Health Monitoring (SHM) and Nondestructive Testing (NDT) of masonry structures, particularly on slender elements in recent years.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Chemistry, Analytical
Maksat Kalybek, Mateusz Bocian, Nikolaos Nikitas
Summary: This study compares the performance of different optical vibration monitoring systems and their application in modal identification. The results show that the modal parameters identified from each system are not always equivalent, and each system has limitations inherent to its design.
Article
Engineering, Multidisciplinary
Dattar Singh Aulakh, Suresh Bhalla
Summary: Modal analysis is a widely used technique for structural identification, with piezoelectric sensors being progressively implemented in vibration-based monitoring. This study evaluates the performance of piezoelectric sensors in modal response measurement and structural health monitoring of 3D structures, showing enhanced sensitivity towards damage compared to accelerometers. Torsional modes perform better than bending modes for damage localization and severity quantification.
Article
Construction & Building Technology
Gustavo Oliveira, Filipe Magalhaes, Alvaro Cunha, Elsa Caetano
Summary: The paper analyzes the dynamic behavior of a 2.0 MW wind turbine during 1 year of operation, highlighting the effectiveness of a post-processing procedure and the distinct dynamic response of the wind turbine according to its operating conditions.
STRUCTURAL CONTROL & HEALTH MONITORING
(2021)
Article
Engineering, Mechanical
Y. V. Ardila, I. D. Gomez-Araujo, J. D. Villalba-Morales
Summary: This paper presents a method for automatically interpreting stability diagrams. The method is based on methodologies found in the literature and consists of three stages: stability diagram cleaning, mode grouping, and selection. The effectiveness of the method is validated through simulations on a beam-type structural model.
JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES
(2023)
Article
Computer Science, Interdisciplinary Applications
Samir Tiachacht, Samir Khatir, Cuong Le Thanh, Ravipudi Venkata Rao, Seyedali Mirjalili, Magd Abdel Wahab
Summary: In this paper, a method combining MSEcr and SMA algorithm for damage detection, localization, and quantification is proposed. Experimental and simulation analyses show that this method can accurately predict the location and level of damage.
ENGINEERING WITH COMPUTERS
(2022)
Article
Engineering, Multidisciplinary
Guowen Zhang, Carlos Moutinho, Filipe Magalhaes
Summary: This paper investigates data synchronization methods in vibration-based Structural Health Monitoring, proposing a new method based on mode shapes identified with operational modal analysis for improved modal identification accuracy. The proposed synchronization method is validated in practical applications, showing its suitability for continuous dynamic monitoring and providing reliable modal parameter estimates.
Article
Construction & Building Technology
Marco Civera, Vezio Mugnaini, Luca Zanotti Fragonara
Summary: Structural health monitoring is an important research topic in civil, mechanical and aerospace engineering. Output-only techniques are suitable for large civil structures and can be automated using artificial intelligence and machine learning techniques for interpretation.
STRUCTURAL CONTROL & HEALTH MONITORING
(2022)
Article
Multidisciplinary Sciences
Stefania Coccimiglio, Giorgia Coletta, Erica Lenticchia, Gaetano Miraglia, Rosario Ceravolo
Summary: This paper presents a study on the alternative application of satellite data in the field of Structural Health Monitoring (SHM). Land Surface Temperature (LST) and Soil Water Index (SWI) data are used to analyze the temperature and moisture condition of the soil. The statistical analysis of these records, combined with on-site experimental data and a Finite Element (FE) model, aims to understand the structural behavior and monitor the evolution of dynamic parameters.
SCIENTIFIC REPORTS
(2022)
Review
Construction & Building Technology
Gabriel M. F. Ramalho, Antonio M. Lopes, Lucas F. M. da Silva
Summary: Lamb waves have shown promising results in NDT and SHM, particularly in monitoring the health of adhesive joints. The paper covers equipment, testing procedures and techniques, as well as discussions on signal processing and statistical methods. Further research is needed in the area of monitoring weak adhesion using Lamb wave-based SHM methods.
STRUCTURAL CONTROL & HEALTH MONITORING
(2022)
Article
Engineering, Mechanical
Benjamin Boll, Lennart Dorendorf, Peter Oppermann, Erik Willmann, Bodo Fiedler, Bernd-Christian Renner, Marcus Rutner, Robert Horst Meissner
Summary: The vibroacoustic modulation (VAM) is a nonlinear ultrasonic testing method that utilizes the modulation of a high-frequency/low-amplitude probe wave with a low-frequency/high-amplitude pumping vibration, resulting in high sensitivities to damages in the structure. A synthetic generation of the VAM signal using probe measurements acquired at different stress levels is proposed, reducing the sensing requirements and decoupling VAM from the need for a constant recurrent frequency and amplitude of the natural vibration. This method opens the possibility of applying VAM to assess the structural health of complex structures.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Construction & Building Technology
Siti Shahirah Saidin, Sakhiah Abdul Kudus, Adiza Jamadin, Muhamad Azhan Anuar, Norliyati Mohd Amin, Atikah Bt Zakaria Ya, Kunitomo Sugiura
Summary: Structural Health Monitoring (SHM) is a valuable tool for tracking the performance and health of engineering structures over time. It relies on real-time measured data to ensure structural safety and provides recommendations for maintenance and management. The concept behind SHM is that changes in mass or stiffness will affect a structure's response to vibrations.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2023)
Article
Engineering, Mechanical
M. Aenlle, Josue Pacheco-Cherrez, R. Brincker
Summary: This paper investigates the sensitivity of the eigenvalues and eigenvectors of a system with two closely spaced modes, and validates the accuracy of the equations by solving the corresponding undamped eigenvalue problem.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Construction & Building Technology
Wei-Hua Hu, Zeng-Mao Xu, Xiao-Han Bian, De-Hui Tang, Wei Lu, Chao Li, Jun Teng, Alvaro Cunha
Summary: This paper reports the structural dynamic behaviors of a skyscraper under operational conditions using a wireless distributed synchronized data acquisition system. The system is developed to conveniently acquire the structural responses from the skyscraper with the GNSS time information. The synchronization accuracy of the system is validated by comparing the modal parameters estimated by wired central data acquisition and the wireless system. The dynamic properties of the skyscraper are presented through operational modal analysis. Additionally, a continuous dynamic monitoring system is developed to capture the long-term structural responses at different spatial positions, and the structural dynamic behaviors of the skyscraper under normal wind, typhoon, and earthquake conditions are reported.
STRUCTURAL CONTROL & HEALTH MONITORING
(2022)
Article
Construction & Building Technology
Guowen Zhang, Carlos Moutinho, Filipe Magalhaes
Summary: This paper presents the application of MEMS accelerometers and wireless nodes in continuous dynamic monitoring of an arch bridge and evaluates their ability to automatically track the bridge modal properties. The proposed algorithms enable the wireless data acquisition system to meet the requirements for continuous dynamic monitoring.
STRUCTURAL CONTROL & HEALTH MONITORING
(2022)
Article
Engineering, Civil
Seyedsina Yousefianmoghadam, Mingming Song, Mohammad Ebrahim Mohammadi, Brittany Packard, Andreas Stavridis, Babak Moaveni, Richard L. Wood
EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS
(2020)
Review
Chemistry, Analytical
Mingming Song, Iman Behmanesh, Babak Moaveni, Costas Papadimitriou
Article
Engineering, Mechanical
Mingming Song, Rodrigo Astroza, Hamed Ebrahimian, Babak Moaveni, Costas Papadimitriou
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2020)
Article
Construction & Building Technology
Mansureh-Sadat Nabiyan, Faramarz Khoshnoudian, Babak Moaveni, Hamed Ebrahimian
Summary: Offshore wind turbines require remote monitoring technologies for damage diagnosis and prognosis. This study focuses on developing mechanics-based digital twins through a model-updating process, allowing for accurate response prediction and identification of input loads and uncertainty quantification. The Bayesian approach leads to slightly better results in accurate response prediction compared to the classical modal-based model updating method.
STRUCTURAL CONTROL & HEALTH MONITORING
(2021)
Article
Environmental Sciences
Vahid Rashidian, Laurie G. Baise, Magaly Koch, Babak Moaveni
Summary: This study utilized xView satellite imagery dataset and deep learning framework for classifying collapsed and intact buildings after natural disasters, achieving high accuracy in the known dataset. Testing on an independent dataset also showed promising sensitivity in identifying collapsed and intact buildings.
Article
Green & Sustainable Science & Technology
Bridget Moynihan, Babak Moaveni, Sauro Liberatore, Eric Hines
Summary: This paper introduces an inference method for computing the forces and bending moments on operating wind turbine blades using strain measurements and SCADA data. The method accurately estimates the internal forces and bending moments on the blades by inferring missing information and comparing with a reference turbine.
Article
Engineering, Multidisciplinary
Xinyu Jia, Omid Sedehi, Costas Papadimitriou, Lambros S. Katafygiotis, Babak Moaveni
Summary: A new time-domain probabilistic technique based on hierarchical Bayesian modeling framework is proposed for calibration and uncertainty quantification of hysteretic type nonlinearities of dynamical systems. The technique introduces probabilistic hyper models for material hysteretic model parameters and prediction error variance parameters, considering both the uncertainty of the model parameters and the prediction error uncertainty. The technique employs a new asymptotic approximation to simplify the process of nonlinear model updating and reduce the computational burden. Numerical examples demonstrate the accuracy and performance of the proposed method.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Engineering, Mechanical
Mansureh-Sadat Nabiyan, Hamed Ebrahimian, Babak Moaveni, Costas Papadimitriou
Summary: An adaptive recursive Bayesian inference framework is developed in this study to estimate model parameters and the statistical characteristics of the prediction error. The proposed approach allows for better consideration of time-variant model uncertainties in the model updating process.
JOURNAL OF ENGINEERING MECHANICS
(2022)
Article
Environmental Sciences
Yusupujiang Aimaiti, Christina Sanon, Magaly Koch, Laurie G. Baise, Babak Moaveni
Summary: In this study, the performance of Sentinel-1 and Sentinel-2 data for building damage assessment in Kiev was assessed. The results showed that these data can be used for rapid mapping of damage and provide initial reference data immediately after a disaster.
Article
Engineering, Mechanical
Mingming Song, Babak Moaveni, Hamed Ebrahimian, Eric Hines, Anela Bajric
Summary: This paper presents a recursive Bayesian inference framework for digital twinning of an offshore wind turbine in the Block Island Wind Farm. The framework uses a window-based extended Kalman filter to estimate the dynamic input loads and unknown model parameters of the turbine, and is critical for fatigue life estimation and structural health monitoring of the turbine.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Mechanical
Burak Bagirgan, Azin Mehrjoo, Babak Moaveni, Costas Papadimitriou, Usman Khan, Jason Rife
Summary: This paper proposes an iterative optimal sensor placement (OSP) framework for structural identification and model updating using mobile sensors. The OSP is performed iteratively to minimize information entropy in estimating the model's updating parameters. A forward sequential sensor placement algorithm is used to solve the OSP problem at each iteration. The proposed framework is applied to a numerical case study and shows better model updating results compared to using an optimal static sensor configuration with a larger number of sensors.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Proceedings Paper
Engineering, Mechanical
Mingming Song, Hamed Ebrahimian, Babak Moaveni
MODEL VALIDATION AND UNCERTAINTY QUANTIFICATION, VOL 3
(2020)
Proceedings Paper
Engineering, Mechanical
Mehdi M. Akhlaghi, Supratik Bose, Peter L. Green, Babak Moaveni, Andreas Stavridis
MODEL VALIDATION AND UNCERTAINTY QUANTIFICATION, VOL 3
(2020)
Proceedings Paper
Engineering, Civil
Mehdi M. Akhlaghi, Babak Moaveni, Laurie G. Baise
DYNAMICS OF CIVIL STRUCTURES, VOL 2, IMAC 2019
(2020)
Proceedings Paper
Engineering, Civil
Giovanni M. Fava, Sauro Liberatore, Babak Moaveni
DYNAMICS OF CIVIL STRUCTURES, VOL 2, IMAC 2019
(2020)
