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Dynamic load identification for interval structures under a presupposition of 'being included prior to being measured'

机译:在“被录制之前包括”被列入的预设“的间隔结构的动态载荷识别

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摘要

Influences of structural uncertainties in the dynamic load identification are always significant and need to be quantified. In case of insufficient information available, intervals are favorable for modelling uncertainties. To perform the interval propagation in an inverse problem, this paper develops a sequential dual-stage interval identification method under a presupposition that each noisy response, which is an accomplished measurement for reconstructing unknown loads, should be included in the corresponding interval response of the structure exerted by interval loads to be identified. The proposed method transforms the interval identification problem into a classical one at the midpoint of interval parameters and an optimization model for minimizing the radius of each interval load. The effectiveness of the proposed method is validated by a spatial truss subjected to multiple forces due to the inclusion of each unknown load in the corresponding load. Besides, regularized solutions without exact knowledge of the accuracy loss are recommended to be used as few as possible in the interval identification of unknown loads.
机译:结构不确定性在动态载荷识别中的影响始终是显着的并且需要量化。在可用信息不足的情况下,间隔是有利于建模不确定性的。为了在逆问题中执行间隔传播,本文在预设中开发了一个顺序双级间隔识别方法,即每个噪声响应,这是用于重建未知负载的完成测量,应包括在结构的相应间隔响应中通过识别的间隔负载施加。该方法在间隔参数的中点和优化模型中将间隔识别问题转换为古典一个,以最小化每个间隔负载的半径。由于在相应的负载中包含每个未知负载,所提出的方法的有效性由受到多个力的空间桁架验证。此外,建议在没有精确损失的完全了解的正则解决方案,以便在未知负载的间隔识别中尽可能少地使用。

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