Article
Engineering, Mechanical
Klemen Zaletelj, Janko Slavic, Miha Boltezar
Summary: High-speed-camera measurements offer high spatial density but low dynamic range response, while accelerometer measurements provide low-spatial-density modal shapes with high dynamic range.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Chemistry, Analytical
Yunfeng Zou, Xuandong Lu, Jinsong Yang, Tiantian Wang, Xuhui He
Summary: This paper proposes a novel structural damage identification method based on transmissibility in the time domain, which improves efficiency and accuracy. Experimental results demonstrate the effectiveness and robustness of the method.
Article
Construction & Building Technology
Dan Li, Jian Zhang
Summary: This paper explores a Bayesian approach with unscented transform for stochastic model updating, which selects a minimal set of sampling points to represent the PDF of model parameters effectively exploring the distribution of measurements and updating model parameters and associated uncertainties. Numerical simulation of a reinforced concrete beam and updating a real-world cable-stayed bridge FE model demonstrate that the proposed approach can achieve similar model updating performance as MCMC methods.
STRUCTURAL CONTROL & HEALTH MONITORING
(2022)
Article
Engineering, Civil
Yong-peng Luo, Jin-ling Zheng, Meng Yuan, Lin-kun Wang, Xu Guo, Jing-liang Liu
Summary: This paper proposes a novel method for structural damage identification by using the similarity measurement of the cloud model based on response surface model updating while considering measurement noise. The method quantifies the measurement noise of the structural response using the numerical characteristics of the cloud model and performs damage diagnosis using model updating techniques.
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
(2022)
Article
Automation & Control Systems
Karim Belouettar, Sebastien Thibaud, Mohand Ould Ouali, Mohamed Karim Harouche
Summary: Single-point incremental forming (SPIF) is a cost-effective technology that allows for complex part production using a hemispherical tool. The development of micro-single-point incremental forming (mu-SPIF) has become increasingly important in the medical industry. This study aims to improve the predictive accuracy of the shear-modified GTN damage model by proposing a method to identify material parameters based on numerical predictions and experimental results.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Engineering, Civil
Shankar Sehgal, Harmesh Kumar
Summary: This paper identifies damages and damping effects in a structure using a two-stage damped updating method, accurately evaluating the locations and extent of damages. The proposed multi-objective optimization approach demonstrates good applicability in solving real structural identification problems.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING
(2021)
Article
Engineering, Marine
Kshitij Shrivastava, Kiran Vijayan, Vikas Arora
Summary: Stiffened structures play a crucial role in ship structures, with the fatigue life and load carrying capacity depending on the stiffened panels. A methodology is proposed to accommodate welding uncertainties in the theoretical model, with coupling elements used to couple the beam and plate subsystems. The algorithm was verified to effectively capture the dynamic characteristics of welded stiffened plates, demonstrating its robustness in numerical studies.
Article
Computer Science, Interdisciplinary Applications
Seung-Seop Jin, Young-Soo Park, SungTae Kim, Young-Hwan Park
Summary: In this paper, a new finite element model updating method based on mixed-integer nonlinear programming is proposed to handle the model-form uncertainty in FE models. By formulating FEMU as a MINLP problem which assigns integer variables for model choice and continuous real variables for updating parameters, the optimization algorithm is able to explore both model and parameter space simultaneously to effectively deal with model-form uncertainty in FE models. Experimental results demonstrate that the proposed method can find the best FE model with optimal estimates of the updating parameters with less computational efforts compared to conventional methods.
ENGINEERING WITH COMPUTERS
(2021)
Article
Engineering, Aerospace
Daosen Liang, Zichu Jia, Zhifu Cao, Yulin Wu, Rui Zhang, Jun Fan, Changyao Wu, Jianyao Yao
Summary: In this paper, a novel method is proposed to identify and update the geometric mistuning of a real blisk using measured point cloud data, reducing the discrepancies between the real blisk and the numerical model.
AEROSPACE SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Civil
X. X. Cheng, Z. Y. Song
Summary: To facilitate effective structural analyses of long-span bridges, high-fidelity numerical models are essential. Model updating is crucial for ensuring the accuracy of numerical models in simulation processes, however, current issues include the difficulty in obtaining reference information for model updating and the high computational costs of traditional sensitivity analyses. This study validates the applicability of a low sensing resource moving sensor modal test for Yingzhou Bridge, and proves the effectiveness of replacing detailed models with simplified models for model updating.
Article
Engineering, Mechanical
Jiang Mo, Wang-Ji Yan, Ka-Veng Yuen, Michael Beer
Summary: Interval arithmetic is a powerful tool for updating structural models with uncertain-but-bounded parameters. However, the complexity and computational burden of interval model updating hinder its practical application. This study proposes an efficient inner-outer decoupling scheme to address this issue. The scheme decomposes the mathematical operation of interval model updating into two layers, namely, uncertainty propagation and interval optimization, to improve search efficiency and convergence rate.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Mechanical
Zhifu Cao, Haibo Wei, Daosen Liang, Zichu Jia, Jianyao Yao, Dong Jiang
Summary: In nonlinear finite element model updating (FEMU), improving the efficiency for large-scale structures is a major challenge. The computational time of updating depends on the degree-of-freedom of the finite element model and the chosen optimization algorithm. This work presents a novel dynamic response sensitivity-based nonlinear FEMU method using substructures to reduce computation and updating time. The proposed method effectively and efficiently updates the nonlinear finite element model with high accuracy.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Engineering, Multidisciplinary
Zhifu Cao, Qingguo Fei, Dong Jiang, Rakesh K. Kapania, Shaoqing Wu, Hui Jin
Summary: This paper presents a novel non-intrusive sensitivity-based nonlinear finite element model updating method, which estimates nonlinear parameters through sensitivity analysis and optimization algorithm. The proposed method is effective in updating the model even in the presence of contaminated measurement data and different initial parameters.
APPLIED MATHEMATICAL MODELLING
(2021)
Article
Engineering, Mechanical
Shuai Cong, Sau-Lon James Hu, Hua-Jun Li
Summary: This study introduces iterative methods for updating damping and stiffness matrices of a finite-element model based on measured complex eigenvalues, which can be obtained accurately using various experimental modal analysis techniques. The proposed methods involve solving simultaneous linear equations using either a sensitivity-based approach or a less-known cross-model cross-mode approach. Numerical studies suggest that the cross-model cross-mode approach may outperform the sensitivity-based method significantly.
JOURNAL OF ENGINEERING MECHANICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Hoang-Le Minh, Thanh Sang-To, Magd Abdel Wahab, Thanh Cuong-Le
Summary: This paper presents a new technique of finite element model updating using Open Application Programming Interface (OAPI) in SAP2000 software. The technique allows two-way data exchange between MATLAB and SAP2000, enabling the modification of the initial FE model through coding. The damage identification process utilizes a modified version of Cuckoo search (CS) algorithm called new balance of Cuckoo search (NB-CS), which achieves a balance between the best and the worst global values by modifying the random walk concept and establishing a new balance vector.
ADVANCES IN ENGINEERING SOFTWARE
(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)