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Load and deflection estimation of a fast catamaran towing-tank model via reduced order modeling and optimal natural observer

机译:通过减少秩序建模和最优自然观察者快速双体帆牵引罐模型的负载和偏转估计

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This paper presents a reliable methodology that allows using large (in time) but sparse (in space) data from sensors to get a full picture of the dynamic response of a scaled model catamaran structure. Increasing the amount of information relative to the structural behavior is critical for some applications like structural health monitoring and condition-based maintenance. Loads and elastic deflections are estimated by combining the information obtained from the measured structural data with a finite element model of the system given that some statistical properties of the estimated outputs are preliminary known. Craig-Bampton method is used to achieve a reduced-order model since it is particularly suited to describe the modal response along with the estimation of the concentrated forces. A natural second-order observer is then defined to provide an optimal estimation of forces and elastic deflections. The validation of this technique is pursued by comparing estimated and known values of the response and a sensitivity analysis of the accuracy is considered as well.
机译:本文介绍了一种可靠的方法,允许使用来自传感器的大(时)但稀疏(在空间中)数据,以获得缩放模型双体结构的动态响应的完整图像。增加相对于结构行为的信息量对于结构健康监测和基于条件的维护等一些应用至关重要。通过将从测量的结构数据中获得的信息与系统的有限元模型组合,估计负载和弹性偏转估计估计估计输出的一些统计特性是初步的已知的。 CRAIG-BAMPTON方法用于达到阶数模型,因为特别适合于描述浓缩力的估计的模态响应。然后定义自然的二阶观察者以提供力和弹性偏转的最佳估计。通过比较估计和已知的响应值以及对准确度的敏感性分析来追求这种技术的验证。

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