Abstract
The FCSE controlling equation of pinned thin-walled curve box was derived and the indeterminate problem of continuous thin-walled curve box with diaphragm was solved based on flexibility theory. With Bayesian statistical theory, dynamic Bayesian error function of displacement parameters of indeterminate curve box was founded. The corresponding formulas of dynamic Bayesian expectation and variance were deduced. Combined with one-dimensional Fibonacci automatic search scheme of optimal step size, the Powell optimization theory was utilized to research the stochastic identification of displacement parameters of indeterminate thin-walled curve box. Then the identification steps were presented in detail and the corresponding calculation procedure was compiled. Through some classic examples, it is obtained that stochastic performances of systematic parameters and systematic responses are simultaneously deliberated in dynamic Bayesian error function. The one-dimensional optimization problem of the optimal step size is solved by adopting Fibonacci search method. And the Powell identification of displacement parameters of indeterminate thin-walled curve box has satisfied numerical stability and convergence, which demonstrates that the presented method and the compiled procedure are correct and reliable. During parameters’ iterative processes, the Powell theory is irrelevant with the calculation of finite curve strip element (FCSE) partial differentiation, which proves high computation efficiency of the studied method.
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The project was supported by the National Natural Science Foundation of China (10472045, 10772078 and 11072108) and the Science Foundation of NUAA(S0851-013).
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Zhang, J., Zhou, CW. & Zhuo, JS. Powell dynamic identification of displacement parameters of indeterminate thin-walled curve box based on FCSE theory. Acta Mech Sin 27, 452–460 (2011). https://doi.org/10.1007/s10409-011-0464-6
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DOI: https://doi.org/10.1007/s10409-011-0464-6