Implementation of an adaptive meta-model for Bayesian finite element model updating in time domain

Jensen, Héctor A.; Esse, C.; Araya, Verónica Gallegos; Papadimitriou, Costas

doi:10.1016/j.ress.2016.12.005

Cited by 45 publications

(12 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many optimization algorithms can be used to solve equation (17). e Cuckoo algorithm [23] has strong global search ability due to its unique Lévy performance.…”

Section: Objective Functionmentioning

confidence: 99%

“…In the field of FEMU, Zhang and Guo [16] applied Kriging theory to FEM confirmation to predict the response of the structure. Jensen et al [17] integrated an adaptive metamodel into a FEMU using dynamic response data. e updating technique is combined with an adaptive surrogate model based on Kriging interpolation of the measure-of-fit function.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Model Updating Method Based on Kriging Model for Structural Dynamics

Yin

Dong

et al. 2019

Shock and Vibration

View full text Add to dashboard Cite

Model updating in structural dynamics has attracted much attention in recent decades. And high computational cost is frequently encountered during model updating. Surrogate model has attracted considerable attention for saving computational cost in finite element model updating (FEMU). In this study, a model updating method using frequency response function (FRF) based on Kriging model is proposed. The optimal excitation point is selected by using modal participation criterion. Initial sample points are chosen via design of experiment (DOE), and Kriging model is built using the corresponding acceleration frequency response functions. Then, Kriging model is improved via new sample points using mean square error (MSE) criterion and is used to replace the finite element model to participate in optimization. Cuckoo algorithm is used to obtain the updating parameters, where the objective function with the minimum frequency response deviation is constructed. And the proposed method is applied to a plane truss model FEMU, and the results are compared with those by the second-order response surface model (RSM) and the radial basis function model (RBF). The analysis results showed that the proposed method has good accuracy and high computational efficiency; errors of updating parameters are less than 0.2%; damage identification is with high precision. After updating, the curves of real and imaginary parts of acceleration FRF are in good agreement with the real ones.

show abstract

“…Many optimization algorithms can be used to solve equation (17). e Cuckoo algorithm [23] has strong global search ability due to its unique Lévy performance.…”

Section: Objective Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Model Updating Method Based on Kriging Model for Structural Dynamics

Yin

Dong

et al. 2019

Shock and Vibration

View full text Add to dashboard Cite

show abstract

“…Modal identification plays an important role in studying the dynamic characteristics of a precast building. The modal parameters identified are the baseline properties for model updating, sensor placement, damage detection, and structural performance evaluation . Three methods were mainly used to measure acceleration, velocity, and displacement, including ambient, free, and forced tests .…”

Section: Introductionmentioning

confidence: 99%

Vibration properties monitoring and uncertainty quantification of precast and cast‐in‐situ shear wall buildings using a Bayesian framework

Yun²,

Zhang

et al. 2020

Struct Control Health Monit

View full text Add to dashboard Cite

Summary Precast buildings have been becoming popular in China in these 5 years since they have many merits such as effectiveness, safety, high quality, and environmental friendliness. In some cities of China, it is required to make the proportion of precast buildings account for 30% in newly built construction areas. Following the rapid development, their vibration behaviors are attracting more attention since it may be quite different from the cast‐in‐situ building. To investigate the difference, this paper studies the modal properties of two kinds of buildings, i.e., new‐type precast building and cast‐in‐situ building. They were built in the same area, while the structural forms are also similar. The main difference is the construction manner. Ambient vibration tests of these two structures were conducted respectively. Since the number of sensors is limited, the locations of interest were measured by a multiple‐setup technique. The difficulty encountered during the field test was discussed. A frequency domain Bayesian approach was used to conduct operational modal analysis. Both the most probable value and posterior uncertainties of modal parameters were studied, including translational, torsional, and wrapping modes. The difference of the modal parameters of the two kinds of buildings are compared and discussed. Finite element models were also built to perform a comparison. It is seen that although the structural forms and appearances of the two buildings are similar, some obvious differences were observed regarding the dynamic characteristics, which provide valuable information for popularizing and future assessment of the new‐type precast structure.

show abstract

“…Structural health monitoring (SHM) has become a popular tool for safety and serviceability assessment of in-service civil structural systems such as buildings and bridges. Significant efforts have been made over the last two decades toward the development of sensing technologies, 1,2 data processing techniques, 3,4 computational modeling, and model updating [5][6][7][8] as well as system identification algorithms [9][10][11] for SHM in both lab experiments and field testing. Recently, monitoring of building structures has gained tremendous attention.…”

Section: Introductionmentioning

confidence: 99%

Computational modeling of a unique tower in Kuwait for structural health monitoring: Numerical investigations

Sun

Al-Qazweeni

Parol

et al. 2019

Struct Control Health Monit

View full text Add to dashboard Cite

Summary Computational modeling, in addition to data analytics, plays an important role in structural health monitoring (SHM). The high‐fidelity computational model based on the design and construction information provide important dynamics information of the structure and, more importantly, can be updated against field measurements for SHM purposes such as damage detection, response prediction, and reliability assessment. In this paper, we present a unique skyscraper (Al‐Hamra Tower) located in Kuwait City and its high‐fidelity computational model using ETABS for structural health monitoring applications. The tower is made of cast‐in‐place reinforced concrete with a core of shear walls and two curved shear walls running the height of the building (approximately 413 m with 86 floors in total). Interesting static and dynamic characteristics of the tower are described. System identification, interferometry‐based wave propagation analysis, and wave‐based damage detection are performed using synthetic data. This work mainly presents the phase of numerical investigations, which serves as a basis for correlating the field monitoring data to the model of the building in future work.

show abstract

Implementation of an adaptive meta-model for Bayesian finite element model updating in time domain

Cited by 45 publications

References 40 publications

Model Updating Method Based on Kriging Model for Structural Dynamics

Model Updating Method Based on Kriging Model for Structural Dynamics

Vibration properties monitoring and uncertainty quantification of precast and cast‐in‐situ shear wall buildings using a Bayesian framework

Computational modeling of a unique tower in Kuwait for structural health monitoring: Numerical investigations

Contact Info

Product

Resources

About