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A method for reconstructing the shape of highly flexible, slender objects from distributed strain measurements

机译:一种从分布式应变测量中重建高度柔性细长物体形状的方法

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This paper presents a method for determining three-dimensional global displacement (forrnarbitrarily-sized deformation but “small” strain) of thin rod/tether-like structures from a limited set of scalar strainrnmeasurements. The approach is rooted in Cosserat rod theory with the adoption of a material-adapted referencernframe and a localized linearization approach that facilitates an exact local basis function set for the displacementrnas well as the material frame evolution itself. The solution set is shown to be robust to potential singularitiesrnfrom vanishing bending and twisting angle derivatives and from vanishing measured strain. Validation of thernapproach is performed through comparison with finite element simulations of a tube-like structure subjectedrnto arbitrary deformations. The average root mean square reconstruction error of 0.01%–1% of the total length,rnfor reasonably low sensor counts. Analysis of error due to extraneous noise sources and boundary conditionrnuncertainty shows how error scales with those effects. The algorithm involves relatively simple operations, thernmost complex of which is square matrix inversion, lending itself to potential low-power embeddable solutions forrnstructural monitoring applications requiring shape reconstruction. Experimental verification will also be shownrnin the presentation accompanying this paper.
机译:本文提出了一种从一组有限的标量应变测量中确定细杆/系绳状结构的三维整体位移(任意大小的变形,但应变较小)的方法。该方法源于Cosserat杆理论,采用了适合材料的参考框架和局部线性化方法,该方法有助于为置换器和材料框架本身提供精确的局部基函数集。结果表明,该解决方案集合对于因弯曲和扭转角导数消失以及所测应变消失而引起的潜在奇异性具有鲁棒性。通过与经受任意变形的管状结构的有限元模拟进行比较,来进行热逼近的验证。对于合理低的传感器数量,平均均方根重建误差为总长度的0.01%–1%。对由于外部噪声源和边界条件不确定性引起的误差的分析表明,误差如何随这些影响而缩放。该算法涉及相对简单的操作,其中最复杂的是方矩阵求逆,从而使其本身适合于需要形状重构的结构监测应用的潜在低功耗可嵌入解决方案。实验验证也将在本文随附的演示文稿中显示。

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