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The true pixel value at the new points is extracted, the semivariogram model updated, and the image reconstructed.
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The optimal sensor placement plays an important role in structural model updating and structural health monitoring.
These are useful for investigating structural optimal design, model updating, and structural damage detection.
The sequential model updating and data collection strategies provide useful guidelines to policy makers.
The performances of the proposed ENS algorithm for model updating and model selection are examined through two numerical examples.
The proposed approach combines two techniques: A Bayesian model updating and a vibration-based damage identification technique (VBDIT).
The bridge influence line (IL) is widely used in structural evaluation, damage identification, model updating, and other applications.
It is divided into seven elements such as data warehousing, data preprocessing, feature subset selection, modeling, model evaluation, model updating and model release.
Nested sampling (NS) is a highly efficient and easily implemented sampling algorithm that has been successfully incorporated into Bayesian inference for model updating and model selection.
Wang et al. (2009) also used the EnKF for reservoir model updating and compared three techniques for production optimization, namely, EnKF, SPSA, and steepest ascent.
Damage estimation is important task in the fields of structural health monitoring, model updating, and decision-making (Aghagholizadeh and Catbas 2015; Malekzadeh 2014).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com