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首页> 外文会议>55th International Astronautical Congress 2004 vol.3 >DAMAGE ASSESSMENT OF LARGE SPACE STRUCTURES THROUGH THE VARIATIONAL APPROACH
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DAMAGE ASSESSMENT OF LARGE SPACE STRUCTURES THROUGH THE VARIATIONAL APPROACH

机译：通过变化方法对大空间结构进行损伤评估

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摘要

The present investigation is focused on the solution of a dynamic inverse problem which is concerned with the assessment of damage in large space structures by means of measured vibration data. This inverse problem has been presented as an optimization problem and has been solved through the use of the Conjugate Gradient method with the Adjoint Equation also called Variational Approach. When a high number of damage elements is to be individualized and these elements are also severely damaged, it is shown that the use of an additional method is necessary in order to provide a better initial guess for the conjugate gradient method. A stochastic method, represented by the Genetic Algorithm Method, has been chosen because it provides robust search in complex spaces and also reduces the chance of converging to local optima. The application of this hybrid approach showed that better results can be achieved, although the computational time for the application here analyzed could increase. The damage estimation has been evaluated using noiseless and noisy synthetic experimental data, and the reported results are concerned with a space truss structure.
机译：本研究的重点是解决动态逆问题，该问题涉及通过测量的振动数据评估大型空间结构的损伤。此反问题已作为优化问题提出，并已通过使用共轭梯度方法和伴随方程（也称为变分方法）解决了。当将大量的损坏元素单独化并且这些元素也受到严重损坏时，表明必须使用其他方法才能为共轭梯度方法提供更好的初始猜测。选择了一种以遗传算法方法表示的随机方法，因为它在复杂的空间中提供了鲁棒的搜索功能，并且还减少了收敛到局部最优值的机会。这种混合方法的应用表明可以实现更好的结果，尽管此处分析的应用程序的计算时间可能会增加。已使用无噪声且有噪声的合成实验数据评估了损伤估计，并且报告的结果与空间桁架结构有关。

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