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For the purpose of model verification, a numerical scheme of direct-time integration to an alternative finite element (FE) semi-discretized system is performed using the one-step Newmark's method.
Three typical applications to civil engineering structures are presented to demonstrate the procedure and features of the method: a large-span stadium roof for finite-element model verification, a highway bridge for damage detection and a long-span cable-stayed bridge for structural health monitoring.
For model verification, a convergence test was used to guarantee our numerical model reached the converged results and no further mesh refinement was necessary.
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Following model verification, an orthogonal experimental design was then used to quantify the significance levels of six impact parameters on the brain response.
The general procedures of multi-scale model updating and verification were finally proposed for nonlinear physical-based modeling of large civil infrastructure, and it was applied to the model verification of a long-span bridge as an actual engineering practice of the proposed procedures.
Two examples are presented to demonstrate the model verification and a site application.
In order to improve the identification effectiveness, an extended Kalman filter (EKF) algorithm is employed to train the weights of the PNN, and model verification of a class of nonlinear system is fulfilled via computer simulation.
Extensive discussion of related issues in [12 14] stresses the importance of rigorous model verification using a wide variety of methods.
In addition, the model was subjected to model verification using a visual predictive check [ 11].
This study further proposes a subsequent model verification study using a Delphi method with four rounds of surveys.
Comparison of the time to peak flow, peak flow, runoff volume and TSS removal rates between the measured and modeled values in model verification phase had a maximum difference of 11%.
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