Shape reconstruction of plane beam with finite deformation based on absolute nodal coordinate formulation

被引:0
|
作者
Wu M. [1 ]
Tan S. [1 ,2 ]
Gao F. [1 ]
机构
[1] State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian
[2] Key Laboratory of Advanced Technology for Aerospace Vehicles of Liaoning Province, Dalian University of Technology, Dalian
关键词
Absolute nodal coordinate formulation (ANCF); Finite deformation; Inverse finite element method; Plane beam; Shape reconstruction;
D O I
10.6052/0459-1879-21-338
中图分类号
学科分类号
摘要
Most of the existing researches on deformation reconstruction of flexible structures with finite deformation are only based on the geometric relationship between curvature and strain, which ignores the longitudinal deformation and the coupling effect of the longitudinal deformation and the bending deformation. In order to construct a more accurate deformation reconstruction method which can be extended with the help of existing mechanical tools, this paper takes the plane beam as the object, partially inherits inverse finite element method developed by Tessler A, and regards the deformation reconstruction problem of plane beam as a kind of numerical optimization problem. Firstly, by introducing the absolute nodal coordinate formulation (ANCF) into the description of mapping relationship between strain and displacement, an inverse gradient reduced ANCF plane beam element is derived. Secondly, the inverse ANCF element is modified to simplify the degree of freedom of nodes and ensure the C2 continuity at nodes by introducing the penalty function, which not only ensures the problem is well-posed, but also improves the accuracy of the final result. Finally, based on the inverse ANCF element, the Newton method is used to develop two types of algorithms for deformation reconstruction under different working conditions, one is the element-by-element algorithm and the other is the multi-element algorithm. The numerical simulation results show that the reconstruction relative error of this method is less than 1% under the condition of large deformation, and it still maintains high accuracy under the condition of few measuring points. The convergence and computational efficiency of the method are verified by numerical simulation example. © 2021, Chinese Journal of Theoretical and Applied Mechanics Press. All right reserved.
引用
收藏
页码:2776 / 2789
页数:13
相关论文
共 36 条
  • [1] Rapp S, Kang LH, Han JH, Et al., Displacement field estimation for a two-dimensional structure using fiber Bragg grating sensors, Smart Material Structures, 18, 2, (2009)
  • [2] Roesthuis RJ, Janssen S, Misra S., On using an array of fiber Bragg grating sensors for closed-loop control of flexible minimally invasive surgical instruments, IEEE/RSJ International Conference on Intelligent Robots & Systems, (2014)
  • [3] Ryu SC, Dupont PE., FBG-based shape sensing tubes for continuum robots, IEEE International Conference on Robotics and Automation (ICRA), (2014)
  • [4] Froggatt M, Moore J., High-spatial-resolution distributed strain measurement in optical fiber with rayleigh scatter, Applied Optics, 37, 10, pp. 1735-1740, (1998)
  • [5] Li J, Zhi Z, Ou J., Interface transferring mechanism and error modification of embedded FBG strain sensor//Smart Structures & Materials, (2004)
  • [6] Jiang H, Bartel V, Daniel K, Et al., Real-time estimation of time-varying bending modes using fiber bragg grating sensor arrays, AIAA Journal, 51, 1, pp. 178-185, (2013)
  • [7] Davis MA, Kersey AD, Sirkis J, Et al., Shape and vibration mode sensing using a fiber optic Bragg grating array, Smart Materials&Structures, 5, 6, pp. 759-765, (1999)
  • [8] Foss GC, Haugse ED., Using modal test results to develop strain to displacement transformations, Proceedings of SPIE-The International Society for Optical Engineering, 2460, (1995)
  • [9] Tessler A, Spangler JL., A variational principle for reconstruction of elastic deformations in shear deformable plates and shells, (2003)
  • [10] Vazquez SL, Tessler A, Quach CC, Et al., Structural health monitoring using high-density fiber optic strain sensor and inverse finite element methods, (2005)