Article
Engineering, Marine
Sisi Wang, Lijun Wang, Namkyun Im, Weidong Zhang, Xijin Li
Summary: A real-time parameter identification method based on nonlinear Gaussian filtering algorithm and nonlinear ship response model is proposed to improve system identification accuracy and reduce computational complexity.
Article
Engineering, Mechanical
Shaghayegh Abtahi, Zhenning Liu, Yong Li
Summary: Model updating based on field measurements is an efficient approach for assessing the condition of reinforced concrete structures. This study extends the application of nonlinear finite element model updating to corroded RC structures and provides a methodology to estimate corrosion-related parameters using seismic measurements. The successful estimation of the corrosion-affected properties indicates that this methodology can be used to identify unknown corroded properties of RC structures.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Electrical & Electronic
Sara Perez-Vieites, Joaquin Miguez
Summary: A new sequential methodology is introduced to calibrate fixed parameters and track stochastic dynamical variables of a state-space system. The method is based on a nested hybrid filtering framework that combines two layers of filters to compute the joint posterior probability distribution of static parameters and state variables. By exploring the use of deterministic sampling techniques for Gaussian approximation in the first layer of the algorithm, the computational cost is reduced, making the algorithms potentially better-suited for high dimensional state and parameter spaces.
Article
Environmental Sciences
Y. Sun, X. Tian, W. Bao, S. Qu, Q. Li, Y. Chen, Z. Zhou, P. Shi
Summary: This study proposes an IMM-CKF method for updating the states of hydrological models in the presence of unknown noise statistics. The results demonstrate that the IMM-CKF method can accurately estimate switch points and state changes, and successfully combine different sub-filters and associated noise statistics.
WATER RESOURCES RESEARCH
(2023)
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
Engineering, Mechanical
Yunjia Tong, Liyu Xie, Songtao Xue, Hesheng Tang
Summary: Oil dampers have been used in recent years to passively control and mitigate shocks in dynamic structural systems. However, technical and economic challenges have limited their application in new and existing buildings. A study investigates a nonlinear oil damper that is different from traditional dampers and applies it to a steel building. Vibration monitoring system is used to analyze the dampers' performance and effectiveness during earthquakes. Bayesian model selection and particle filtering approach are employed to identify the nonlinear model of the damper and quantify model uncertainty. The results show that the developed particle filter approach is suitable for nonlinear parameter identification and provides insights into the dynamic properties of the damper under different excitations.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Mechanical
Mukesh K. Ramancha, Rodrigo Astroza, Ramin Madarshahian, Joel P. Conte
Summary: This paper introduces Bayesian model updating and identifiability analysis of nonlinear FE models for civil structures, using Pine Flat concrete gravity dam as an example. Both recursive mode with unscented Kalman filter (UKF) and batch mode with transitional Markov chain Monte Carlo (TMCMC) method are used for model updating. Identifiability and sensitivity analyses are performed using local and global methods.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Geological
Xingyu Li, Chaodong Zhang, Yue Zheng, Ning Zhang
Summary: This study proposes a novel constrained unscented Kalman filter (UKF) method for updating structural parameters and identifying unknown external excitations in strongly nonlinear structures. The unknown excitation is estimated by a recursive nonlinear least-square algorithm, while a specially developed Matlab-OpenSees recursion platform is used to implement the algorithm. The applicability of the method is verified through investigations on a steel frame and a reinforced concrete bridge.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2022)
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, Civil
Junfu Gong, Albrecht H. Weerts, Cheng Yao, Zhijia Li, Yingchun Huang, Yuanfang Chen, Yifei Chang, Pengnian Huang
Summary: This study utilizes the EnKF assimilation scheme and employs the maximum a posteriori estimation method (MAP) to estimate error models, aiming to improve the performance of flood simulation in small and medium-sized catchments. Two catchments in China with different characteristics were tested, and the performance differences under two types of rainfall forcing were compared. The results show that MAP is beneficial in specifying error models and providing reliable ensemble spread, effectively ameliorating the degradation of distributed hydrological model performance due to uncalibrated model parameters and/or poor quality of input data.
JOURNAL OF HYDROLOGY
(2023)
Article
Automation & Control Systems
Wenxuan Liu, Meihang Li
Summary: In order to solve the problem of missing data in industrial processes, an auxiliary model and a particle filter are used to estimate the missing outputs in a class of nonlinear systems (e.g., bilinear systems) with irregularly missing data. Two unbiased parameter estimation methods are developed, including an auxiliary model-based multi-innovation recursive least squares algorithm and a particle filtering-based bias compensation multi-innovation recursive least squares algorithm. These algorithms are shown to have good performance in identifying bilinear systems with irregularly missing data through simulation results.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2023)
Article
Automation & Control Systems
Renke He, Shuxin Chen, Hao Wu, Fengzhe Zhang, Kun Chen
Summary: The continuous-discrete extended cubature Kalman filtering based on ABM numerical approximation method improves efficiency and accuracy in state estimation, combining the best features of extended Kalman filtering and cubature Kalman filtering to achieve superior performance.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Engineering, Civil
Pranjal Tamuly, Arunasis Chakraborty, Sandip Das
Summary: This paper presents a new framework for material level system identification for damage assessment of reinforced concrete structures using a modified version of the unscented Kalman filtering technique. The framework is based on nonlinear finite element model updating with constraint conditions, generating sigma points within a predefined domain of model parameters. The proposed framework updates parameters using noisy measurements for condition assessment, showing effectiveness in estimating the damage state of structures excited by seismic ground motion.
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
(2021)
Article
Automation & Control Systems
Muhammad Zeeshan Babar, Marco Baglietto
Summary: An optimal feedback input design method for active parameter identification of dynamic nonlinear systems is proposed. The method formulates the problem in a receding horizon framework and utilizes extended Kalman filter for system identification, while designing the optimal input in a nonlinear model predictive control framework to extract maximal information from the unknown parameters._simulation results are provided to demonstrate the effectiveness of the proposed algorithm.
INTERNATIONAL JOURNAL OF CONTROL
(2021)
Article
Engineering, Aerospace
Kevin R. Ford, Anton J. Haug
Summary: This article introduces a new filter that combines a modified version of the EPC with a multiple-model algorithm to achieve superior performance against a wider range of ASCM trajectories than the EPC EKF.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2021)
Article
Construction & Building Technology
Yuxiang Chen, Juan Castiglione, Rodrigo Astroza, Yong Li
Summary: Accurate and computationally efficient building energy models are crucial for the development of online or pseudo-online control strategies and building management activities. This study demonstrates the use of unscented Kalman filtering (UKF) in model parameter estimation for reliable building energy models. Comparison with a previous study shows that UKF improves model performance and predictability by enabling timely online model updates.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Construction & Building Technology
Yong Li, Juan Castiglione, Rodrigo Astroza, Yuxiang Chen
Summary: This study explores the use of an unscented Kalman filter combined with resistance-capacitance models for online estimation of thermal dynamics in single detached houses. The performance of this approach is evaluated by comparing estimated values with monitored data, demonstrating that the UKF can efficiently improve predictability and enable timely online updating of models and response prediction.
BUILDING AND ENVIRONMENT
(2021)
Article
Engineering, Civil
Matias Birrell, Rodrigo Astroza, Rodrigo Carreno, Jose Restrepo, Gerardo Araya-Letelier
Summary: This study focuses on generating a reliable nonlinear finite element model based on experimental data from cyclic tests to accurately predict the response of structures under extreme loads. Through local and global sensitivity analysis, as well as the use of joint probability density functions, the nonlinear behavior and response of steel materials are thoroughly investigated.
Article
Engineering, Civil
F. J. Pinto, C. Ledezma, R. Astroza, J. A. Abell Mena
Summary: The study explores the modeling of structural damping and its effect on structural response due to elastic-wave excitation into the surrounding soil domain. Results indicate that up to 1% of apparent, low-amplitude damping can be attributed to radiation damping, depending on the number of stories and depth of embedment.
JOURNAL OF EARTHQUAKE ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Gabriel Felmer, Rodrigo Morales-Vera, Rodrigo Astroza, Ignacio Gonzalez, Maureen Puettmann, Mark Wishnie
Summary: Despite being considered a more sustainable alternative to cement and steel, mass-timber construction still faces issues regarding sourcing, design, and environmental performance in South America. This study assessed the carbon footprint of using mass-timber products to build a low-energy residential building in central Chile and compared it to an equivalent concrete building. The results showed lower greenhouse gas emissions and embodied emissions for the timber design, but higher embodied energy.
Article
Construction & Building Technology
Francisco Hernandez, Rodrigo Astroza, Juan Felipe Beltran, Xihong Zhang, Vicente Mercado
Summary: An energy dissipation mechanism consisting of a cable-pulleys system and a spring-damper device is experimentally studied. The system aims to provide high damping ratios for all structural modes by using a unique spring-damper device. The experimental results show that the proposed system exhibits a highly nonlinear response and significant changes in the structure's dynamic properties over time.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Engineering, Mechanical
Mukesh K. Ramancha, Rodrigo Astroza, Ramin Madarshahian, Joel P. Conte
Summary: This paper introduces Bayesian model updating and identifiability analysis of nonlinear FE models for civil structures, using Pine Flat concrete gravity dam as an example. Both recursive mode with unscented Kalman filter (UKF) and batch mode with transitional Markov chain Monte Carlo (TMCMC) method are used for model updating. Identifiability and sensitivity analyses are performed using local and global methods.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Computer Science, Interdisciplinary Applications
M. Birrell, C. Pasten, J. A. Abell, R. Astroza
Summary: In this paper, a Bayesian approach is used to estimate the parameters of a high cycle accumulation model for sands based on experimental data. Global sensitivity analysis and Markov-Chain Monte Carlo simulation are conducted considering the effect of estimating soil parameters at each strain-cycle under various loading conditions. The probability distributions from different data sources are combined to obtain a single distribution for the model parameters. The model calibration is validated against new observations.
COMPUTERS AND GEOTECHNICS
(2022)
Article
Construction & Building Technology
C. Burbano-Garcia, G. Araya-Letelier, R. Astroza, Y. F. Silva
Summary: This study evaluates the feasibility of incorporating fibrillated polypropylene fibers (FPFs) into adobe mixtures (AMs) and investigates the effects of different dosages of FPFs on the performance of AMs. The results show that the incorporation of FPFs can improve the water erosion resistance and flexural toughness of AMs, but it decreases the bulk density, compressive strength, and flexural strength. Additionally, fiber clustering is a significant limitation when using FPFs in AMs.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Engineering, Civil
Francisco J. Pinto, Christian Ledezma, Jose A. Abell, Rodrigo Astroza, Shideh Dashti
Summary: This study highlights the importance of considering soil-basement-interaction effects when evaluating the seismic response of tall buildings with basement levels to avoid unsafe estimations or the need for overdesign.
ENGINEERING STRUCTURES
(2022)
Article
Engineering, Civil
Zhenning Liu, Shaghayegh Abtahi, Rodrigo Astroza, Yong Li
Summary: Nonlinear finite-element model updating (FEMU) is a promising approach for post-event damage assessment of civil structures. This paper conducted FEMU for a full-scale reinforced concrete bridge column tested under a sequence of earthquakes and examined the evolution of seismic damage across different earthquake ground motions. It was found that using experimental data, FEMU can be applied to identify unknown key model parameters and damage of the columns as represented by the change of the key parameters. In addition, the updated models demonstrated their ability to better predict the system response for future earthquakes.
JOURNAL OF EARTHQUAKE ENGINEERING
(2023)
Article
Engineering, Mechanical
Francisco Jaramillo, Jose Martin Gutierrez, Marcos Orchard, Marcelo Guarini, Rodrigo Astroza
Summary: This paper proposes a Bayesian framework based on particle filters for online fatigue damage diagnosis and prognosis for wind turbine blades. The results demonstrate the potential of the Bayesian processor in damage estimation and uncertainty quantification, and show the accuracy of the proposed algorithm in damage prognosis.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Construction & Building Technology
Rodrigo Astroza, Hamed Ebrahimian, Joel P. Conte, Jose Restrepo, Tara C. Hutchinson
Summary: Damage detection is a primary goal in monitoring the health of civil structures, and vibration-based techniques are popular for this purpose. This study presents a statistical analysis of the modal properties of a reinforced concrete building using ambient vibration data, and investigates the variability of the identified modal parameters due to environmental conditions.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Engineering, Geological
Jose Bustos, Cesar Pasten, Diego Pavez, Miguel Acevedo, Sergio Ruiz, Rodrigo Astroza
Summary: Results from multiple methods were combined to develop representative cross-sections of the Santiago Basin in Chile, providing information on geological features and wave velocities. Simulations of seismic responses revealed amplification of ground motions along basin edges and in softer deposits, indicating the importance of surface wave generation. The study also found that 2D effects were negligible in stiff gravel deposits and that 1D simulations could not accurately capture edge effects in fine-grained soils.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2023)
Article
Chemistry, Physical
Francisco J. Pinto, Jose Toledo, Matias Birrell, Ramiro Bazaez, Francisco Hernandez, Rodrigo Astroza
Summary: Bridges are crucial structures in a country's logistic chain and designing them to be resilient is important. Performance-based seismic design (PBSD) using nonlinear Finite Element (FE) models can predict the response and potential damage of different structural components under earthquake excitations. This study proposes a Bayesian probabilistic framework to update the parameters of seismic bars and elastomeric bearings based on actual data from comprehensive experimental campaigns.
Article
Engineering, Mechanical
Xuanen Kan, Yanjun Lu, Fan Zhang, Weipeng Hu
Summary: A blade disk system is crucial for the energy conversion efficiency of turbomachinery, but differences between blades can result in localized vibration. This study develops an approximate symplectic method to simulate vibration localization in a mistuned bladed disk system and reveals the influences of initial positive pressure, contact angle, and surface roughness on the strength of vibration localization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Zimeng Liu, Cheng Chang, Haodong Hu, Hui Ma, Kaigang Yuan, Xin Li, Xiaojian Zhao, Zhike Peng
Summary: Considering the calculation efficiency and accuracy of meshing characteristics of gear pair with tooth root crack fault, a parametric model of cracked spur gear is established by simplifying the crack propagation path. The LTCA method is used to calculate the time-varying meshing stiffness and transmission error, and the results are verified by finite element method. The study also proposes a crack area share index to measure the degree of crack fault and determines the application range of simplified crack propagation path.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Rongjian Sun, Conggan Ma, Nic Zhang, Chuyo Kaku, Yu Zhang, Qirui Hou
Summary: This paper proposes a novel forward calculation method (FCM) for calculating anisotropic material parameters (AMPs) of the motor stator assembly, considering structural discontinuities and composite material properties. The method is based on multi-scale theory and decouples the multi-scale equations to describe the equivalence and equivalence preconditions of AMPs of two scale models. The effectiveness of this method is verified by modal experiments.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Hao Zhang, Jiangcen Ke
Summary: This research introduces an intelligent scheduling system framework to optimize the ship lock schedule of the Three Gorges Hub. By analyzing navigational rules, operational characteristics, and existing problems, a mixed-integer nonlinear programming model is formulated with multiple objectives and constraints, and a hybrid intelligent algorithm is constructed for optimization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Jingjing He, Xizhong Wu, Xuefei Guan
Summary: A sensitivity and reliability enhanced ultrasonic method has been developed in this study to monitor and predict stress loss in pre-stressed multi-layer structures. The method leverages the potential breathing effect of porous cushion materials in the structures to increase the sensitivity of the signal feature to stress loss. Experimental investigations show that the proposed method offers improved accuracy, reliability, and sensitivity to stress change.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Benyamin Hosseiny, Jalal Amini, Hossein Aghababaei
Summary: This paper presents a method for monitoring sub-second or sub-minute displacements using GBSAR signals, which employs spectral estimation to achieve multi-dimensional target detection. It improves the processing of MIMO radar data and enables high-resolution fast displacement monitoring from GBSAR signals.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xianze Li, Hao Su, Ling Xiang, Qingtao Yao, Aijun Hu
Summary: This paper proposes a novel method for bearing fault identification, which can accurately identify faults with few samples under complex working conditions. The method is based on a Transformer meta-learning model, and the final result is determined by the weighted voting of multiple models.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xiaomeng Li, Yi Wang, Guangyao Zhang, Baoping Tang, Yi Qin
Summary: Inspired by chaos fractal theory and slowly varying damage dynamics theory, this paper proposes a new health monitoring indicator for vibration signals of rotating machinery, which can effectively monitor the mechanical condition under both cyclo-stationary and variable operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Hao Wang, Songye Zhu
Summary: This paper extends the latching mechanism to vibration control to improve energy dissipation efficiency. An innovative semi-active latched mass damper (LMD) is proposed, and different latching control strategies are tested and evaluated. The latching control can optimize the phase lag between control force and structural response, and provide an innovative solution to improve damper effectiveness and develop adaptive semi-active dampers.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Menghao Ping, Xinyu Jia, Costas Papadimitriou, Xu Han, Chao Jiang, Wang-Ji Yan
Summary: Identification of non-Gaussian processes is a challenging task in engineering problems. This article presents an improved orthogonal series expansion method to convert the identification of non-Gaussian processes into a finite number of non-Gaussian coefficients. The uncertainty of these coefficients is quantified using polynomial chaos expansion. The proposed method is applicable to both stationary and nonstationary non-Gaussian processes and has been validated through simulated data and real-world applications.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Lei Li, Wei Yang, Dongfa Li, Jianxin Han, Wenming Zhang
Summary: The frequency locking phenomenon induced by modal coupling can effectively overcome the dependence of peak frequency on driving strength in nonlinear resonant systems and improve the stability of peak frequency. This study proposes the double frequencies locking phenomenon in a three degrees of freedom (3-DOF) magnetic coupled resonant system driven by piezoelectricity. Experimental and theoretical investigations confirm the occurrence of first frequency locking and the subsequent switching to second frequency locking with the increase of driving force. Furthermore, a mass sensing scheme for double analytes is proposed based on the double frequencies locking phenomenon.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Kai Ma, Jingtao Du, Yang Liu, Ximing Chen
Summary: This study explores the feasibility of using nonlinear energy sinks (NES) as replacements for traditional linear tuned mass dampers (TMD) in practical engineering applications, specifically in diesel engine crankshafts. The results show that NES provides better vibration attenuation for the crankshaft compared to TMD under different operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Wentao Xu, Li Cheng, Shuaihao Lei, Lei Yu, Weixuan Jiao
Summary: In this study, a high-precision hydraulic mechanical stand and a vertical mixed-flow pumping station device were used to conduct research on cavitation signals of mixed-flow pumps. By analyzing the water pressure pulsation signal, it was found that the power spectrum density method is more sensitive and capable of extracting characteristics compared to traditional time-frequency domain analysis. This has significant implications for the identification and prevention of cavitation in mixed-flow pump machinery.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xiaodong Chen, Kang Tai, Huifeng Tan, Zhimin Xie
Summary: This paper addresses the issue of parasitic motion in microgripper jaws and its impact on clamping accuracy, and proposes a symmetrically stressed parallelogram mechanism as a solution. Through mechanical modeling and experimental validation, the effectiveness of this method is demonstrated.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Zhifeng Shi, Gang Zhang, Jing Liu, Xinbin Li, Yajun Xu, Changfeng Yan
Summary: This study provides useful guidance for early bearing fault detection and diagnosis by investigating the effects of crack inclination and propagation direction on the vibration characteristics of bearings.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
