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model updating of a bridge structure using vibration test data based on GMPSO and BPNN:case study

Earthquake Engineering and Engineering Vibration 2021年第1期20卷 213-221页

作者： Xia Zhiyuan Li Aiqun Shi Huiyuan Li Jianhui Jiangsu Province Key Laboratory of Structure Engineering Suzhou University of Science and TechnologySuzhou 215011China School of Civil Engineering Southeast UniversityNanjing 210096China Beijing Advanced Innovation Center for Future Urban Design Beijing University of Civil Engineering and ArchitectureBeijing 100044China College of Civil Engineering Nanjing Forestry UniversityNanjing 210037China

model updating issues with high-dimensional and strong-nonlinear optimization processes are still unsolved by most optimization *** this study,a hybrid methodology that combines the Gaussian-white-noise-mutation particle swarm optimization(GMPSO),back-propagation neural network(BPNN)and Latin hypercube sampling(LHS)technique is *** this approach,as a meta-heuristic algorithm with the least modification to the standard PSO,GMPSO simultaneously offers convenient programming and good performance in *** BPNN with LHS establishes the meta-models for FEM to accelerate efficiency during the updating process.A case study of the model updating of an actual bridge with no distribution but bounded parameters was carried out using this methodology with two different objective *** considers only the frequencies of the main girder and the other considers both the frequencies and vertical displacements of typical *** updating results show that the methodology is a sound approach to solve an actual complex bridge structure and offers good agreement in the frequencies and mode shapes of the updated model and test *** on the shape comparison of the main girder at the finished state with different objective functions,it is emphasized that both the dynamic and static responses should be taken into consideration during the model updating process.

关键词： model updating hybrid methodology advanced particle swarm optimization neural network case study

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model updating based on incomplete modal data

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Science China(Technological Sciences) 2011年第7期54卷 1737-1747页

作者： LI HuaJun WANG JunRong HU Sau-Lon James Shandong Provincial Key Lab of Ocean Engineering Ocean University of China Qingdao 266100 China CNOOC Research Institute China National Offshore Oil Corporation Beijing 100027 China Department of Ocean Engineering University of Rhode Island Narragansett RI 02882-1197 USA

The objective of model updating is to improve the accuracy of a dynamic model based on the correlation between the measured data and the analytical (finite element) model. In this paper, we intend to update the mass and stiffness matrices of an analytical model when only modal frequencies or spatially incomplete modal data are available. While the proposed method is systematic in nature, it also preserves the initial configuration of the analytical model, and physical equality and/or inequality constraints can be easily incorporated into the solution procedure. Numerical examples associated with a simple 5-DoF (degree of freedom) mass-spring system are chosen to illustrate the detailed procedure and the effectiveness of the proposed method. Numerical scenarios ranging from the updating for stiffness terms only to that for all mass and stiffness terms based on various kinds of incomplete modal data are studied. The obtained model updating results are excellent when the measured modal data are noise-free. Uncertainty studies are also conducted based on simulations of corrupted modal data, but a thorough theoretical analysis of the noise effect on the proposed method is still needed.

关键词： model updating model reduction modal expansion incomplete mode

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model updating for High Speed Aircraft in Thermal Environment Using Adaptive Weighted-Sum Methods

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Transactions of Nanjing University of Aeronautics and Astronautics 2016年第3期33卷 362-369页

作者： He Huan He Cheng Chen Guoping The State Key Lab of Mechanics and Control for Mechanical Structures Nanjing University of Aeronautics and Astronautics Nanjing 210016 P.R. China Research Institute of Pilotless Aircraft Nanjing University of Aeronautics and Astronautics Nanjing 210016 P.R. China

model updating for aircraft in a high temperature environment(HTE)is proposed based on the hierarchical *** this method,the problem can be decomposed into temperature field updating and dynamic structural *** order to improve the estimation accuracy,the model updating problem is turned into a multi-objective optimization problem by constructing the objective function which combined with residues of modal frequency and effective modal *** the metamodeling,support vector regression(SVR)is introduced to improve the optimization efficiency,and the solution can be determined by adaptive weighted-sum method(AWS).Finally,the proposed method is tested on a finite element(FE)model of a reentry vehicle *** results show that the multi-objective model updating method in HTE can identify the input parameters of the temperature field and structure with good accuracy.

关键词： hierarchical high temperature environment(HTE) support vector regression(SVR) multi-objective optimization model updating

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Research on the iterative method for model updating based on the frequency response function

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Acta Mechanica Sinica 2012年第2期28卷 450-457页

作者： Wei-Ming Li Jia-Zhen Hong Department of Engineering Mechanics Shanghai Jiaotong University200240 ShanghaiChina

model reduction technique is usually employed in model updating process. In this paper, a new model updat- ing method named as cross-model cross-frequency response function （CMCF） method is proposed and a new iterative method associating the model updating method with the mo- del reduction technique is investigated. The new model up- dating method utilizes the frequency response function to avoid the modal analysis process and it does not need to pair or scale the measured and the analytical frequency re- sponse function, which could greatly increase the number of the equations and the updating parameters. Based on the traditional iterative method, a correction term related to the errors resulting from the replacement of the reduction ma- trix of the experimental model with that of the finite element model is added in the new iterative method. Comparisons be- tween the traditional iterative method and the proposed itera- tive method are shown by model updating examples of solar panels, and both of these two iterative methods combine the CMCF method and the succession-level approximate reduc- tion technique. Results show the effectiveness of the CMCF method and the proposed iterative method .

关键词： model updating model reduction Frequency response function Iteration

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Finite element model updating for structural damage detection using transmissibility data

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Earthquake Engineering and Engineering Vibration 2024年第1期23卷 87-101页

作者： Ahmad Izadi Akbar Esfandiari Department of Maritime Engineering Amirkabir University of TechnologyTehran 15875-4413Iran

This paper presents a new finite element model updating method for estimating structural parameters and detecting structural damage location and severity based on the structural responses(output-only data).The method uses the sensitivity relation of transmissibility data through a least-squares algorithm and appropriate normalization of the extracted *** proposed transmissibility-based sensitivity equation produces a more significant number of equations than the sensitivity equations based on the frequency response function(FRF),which can estimate the structural parameters with higher *** abilities of the proposed method are assessed by using numerical data of a two-story two-bay frame model and a plate structure *** evaluating different damage cases,the number,location,and stiffness reduction of the damaged elements and the severity of the simulated damage have been accurately *** reliability and stability of the presented method against measurement and modeling errors are examined using error-contaminated *** parameter estimation results prove the method’s capabilities as an accurate model updating algorithm.

关键词： damage detection model updating output-only transmissibility sensitivity equation

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Assembly Variation Identification of High Pressure Spool by Response Surface Based model updating Using IV-optimal Designs

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Chinese Journal of Aeronautics 2012年第5期25卷 817-824页

作者： ZHANG Ziyang XIE Shousheng HU Jinhai MIAO Zhuoguang WANG Lei The Engineering Institute Air Force Engineering UniversityXi'an 710038China

This article, in order to improve the assembly of the high-pressure spool, presents an assembly variation identification method achieved by response surface method （RSM）-based model updating using IV-optimal designs. The method involves screening out non-relevant assembly parameters using IV-optimal designs and the preload of the joints is chosen as the input features and modal frequency is the only response feature. Emphasis is placed on the construction of response surface models including the interactions between the bolted joints by which the non-linear relationship between the assembly variation caused by the changes ofpreload and the output frequency variation is established. By achieving an optimal process of selected variables in the model, assembly variation can be identified. With a case study of the laboratory bolted disks as an example, the proposed method is verified and it gives enough accuracy in variation identification. It has been observed that the first-order response surface models considering the interactions between the bolted joints based on the IV-optimal criterion are adequate for assembly purposes.

关键词： high-pressure spool bolted joints response surface method identification of assembly variation model updating IV-optimal designs

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Digital twin-assisted gearbox dynamic model updating toward fault diagnosis

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Frontiers of Mechanical Engineering 2023年第2期18卷 283-296页

作者： Jingyan XIA Ruyi HUANG Yixiao LIAO Jipu LI Zhuyun CHEN Weihua LI School of Mechanical and Automotive Engineering South China University of TechnologyGuangzhou 510641China Shien-Ming Wu School of Intelligent Engineering South China University of TechnologyGuangzhou 511442China Guangdong Artificial Intelligence and Digital Economy Laboratory(Guangzhou) Guangzhou 510335China

One of the core challenges of intelligent fault diagnosis is that the diagnosis model requires numerous labeled training datasets to achieve satisfactory *** training data using a virtual model is a potential solution for addressing such a problem,and the construction of a high-fidelity virtual model is fundamental and critical for data *** this study,a digital twin-assisted dynamic model updating method for fault diagnosis is thus proposed to improve the fidelity and reliability of a virtual model,which can enhance the generated data ***,a virtual model is established to mirror the vibration response of a physical entity using a dynamic modeling ***,the modeling method is validated through a frequency analysis of the generated ***,based on the signal similarity indicator,a physical–virtual signal interaction method is proposed to dynamically update the virtual model in which parameter sensitivity analysis,surrogate technique,and optimization algorithm are applied to increase the efficiency during the model ***,the proposed method is successfully applied to the dynamic model updating of a single-stage helical gearbox;the virtual data generated by this model can be used for gear fault diagnosis.

关键词： digital twin gearbox model construction model updating physical-virtual interaction

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Comparison of eigensensitivity and ANN based methods in model updating of an eight-story building

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Earthquake Engineering and Engineering Vibration 2015年第3期14卷 453-464页

作者： Prabakaran K Ashok Kumar Shashi Kant Thakkar Department of Civil Engineering PSG College of Technology Department of Earthquake Engineering IIT Roorkee

Analytical models prepared from field drawings do not generally provide results that match with experimental *** error may be due to uncertainties in the property of materials,size of members and errors in the modelling *** is important to improve analytical models using experimentally obtained *** the past several years,data obtained from ambient vibration testing have been successfully used in many cases to update and match dynamic behaviors of analytical models with real *** paper presents a comparison between artificial neural network(ANN) and eigensensitivity based model updating of an existing multi-story building.A simple spring-mass analytical model,developed from the structural drawings of the building,is considered and the corresponding spring stiffness and lumped mass of all floors are chosen as updating *** advantages and disadvantages of these updating methods are *** advantage is that both methods ensure a physically meaningful model which canbe further employed in determining structural response and health monitoring.

关键词： ambient vibration measurement model updating artif

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Dynamic parametric modeling-based model updating strategy of aeroengine casings

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Chinese Journal of Aeronautics 2021年第12期34卷 145-157页

作者： Chengwei FEI Haotian LIU Shaolin LI Huan LI Liqiang AN Cheng LU Department of Aeronautics and Astronautics Fudan UniversityShanghai 200433China School of Energy and Power Engineering Beihang UniversityBeijing 100083China Beijing Key Laboratory of Aero-Engine Structure and Strength Beijing 100083China Department of Mechanical Engineering North China Electric Power UniversityBaoding 071003China

For accurate Finite Element(FE)modeling for the structural dynamics of aeroengine casings,Parametric modeling-based model updating Strategy(PM-MUS)is proposed based on efficient FE parametric modeling and model updating techniques regarding uncorrelated/correlated mode *** structure is parametrically modeled by simplifying initial structural FE model and equivalently simulating mechanical *** modes between FE model and experiment are reasonably handled by adopting an objective function to recognize correct correlated modes *** parametrized FE model is updated to effectively describe structural dynamic characteristics in respect of testing *** model updating technology is firstly validated by the detailed FE model updating of one fixed–fixed beam structure in light of correlated/uncorrelated mode shapes and measured mode *** PM-MUS is applied to the FE parametrized model updating of an aeroengine stator system(casings)which is constructed by the proposed parametric modeling *** revealed in this study,(A)the updated models by the proposed updating strategy and dynamic test data is accurate,and(B)the uncorrelated modes like close modes can be effectively handled and precisely identify the FE model mode associated the corresponding experimental mode,and(C)parametric modeling can enhance the dynamic modeling updating of complex structure in the accuracy of mode *** efforts of this study provide an efficient dynamic model updating strategy(PM-MUS)for aeroengine casings by parametric modeling and experimental test data regarding uncorrelated modes.

关键词： Aeroengine casings Correlated mode pair model updating Parametric modeling Structural dynamics Uncorrelated modes

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Hierarchical model updating for high-speed maglev vehicle/guideway coupled system based on multiobjective optimization

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Frontiers of Structural and Civil Engineering 2024年第5期18卷 788-804页

作者： Dexiang Li Jingyu Huang College of Civil Engineering Tongji UniversityShanghai 200092China National Maglev Transportation Engineering R&D Center Tongji UniversityShanghai 201804China

The high-speed maglev vehicle/guideway coupled model is an essential simulation tool for investigating vehicle dynamics and mitigating coupled *** improve its accuracy efficiently,this study investigated a hierarchical model updating method integrated with field ***,a high-speed maglev vehicle/guideway coupled model,taking into account the real effect of guideway material properties and elastic restraint of bearings,was developed by integrating the finite element method,multi-body dynamics,and electromagnetic levitation ***,simultaneous in-site measurements of the vehicle/guideway were conducted on a high-speed maglev test line to analyze the system response and structural modal *** the hierarchical updating,an Elman neural network with the optimal Latin hypercube sampling method was used to substitute the FE guideway model,thus improving the computational *** multi-objective particle swarm optimization algorithm with the gray relational projection method was applied to hierarchically update the parameters of the guideway layer and magnetic force layer based on the measured modal parameters and the electromagnet vibration,***,the updated coupled model was compared with the field measurements,and the results demonstrated the model’s accuracy in simulating the actual dynamic response,validating the effectiveness of the updating method.

关键词： high-speed maglev vehicle/guideway coupled model field measurement model updating neural network multi-objective optimization

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