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A model correction factor is then introduced to push the idealized limit-state surface onto the actual limit-state surface.
The analyses have been performed by the first order reliability method (FORM) together with a model correction factor.
The model correction factor method (MCFM) is used in conjunction with the first-order reliability method (FORM) to solve structural reliability problems involving integrals of non-Gaussian random fields.
The proposed approach employs a variant of the model correction factor method developed by O. Ditlevsen, which is further improved by the use of a novel response surface technique.
The model correction factor method (MCFM) is adopted to assess the reliability of a Suezmax oil tanker considering the ultimate vertical bending moment capacity of the hull girder as a limit state.
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Multiplying the NIV correction factor for fog only by the classical film model correction factors for induced velocity, reveals that the product corresponds to the film model correction factors for the combined effects of fog and induced velocity.
The nonlinear effects on the vertical wave-induced bending moments of the chemical tanker are accounted for in the reliability assessment problem through model correction factors, which are estimated using direct calculation methods based on linear and nonlinear strip theory formulations and the most likely response wave method.
Modelling errors between the analytical model and tested structure are also considered by introducing a series of model-correction factors.
In this model, the correction factor was expressed as a function of gas gravity for a given constant pressure and temperature.
We build the spectral shift model with correction factors composed of wavenumber squeeze and offset, designed the method of estimating the a priori information of wavenumber offset through convolution kernel, and developed the retrieval method of correction factors based on a priori information.
When considering the extra-cerebral vasculature in the head model, the correction factors were at least 1.4-fold lower than the values computed with no vasculature (except for A-V: at least 1.1-fold).
Related(18)
sample correction factor
system correction factor
model calibration factor
model identification factor
model correction scheme
model friction factor
model uncertainty factor
model impact factor
model shape factor
model correction problem
model stress factor
model correction approach
model structure factor
model input factor
model transcription factor
model scale factor
model recovery factor
model bias factor
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