GUIDED WAVE DAMAGE IMAGING OF COMPOSITE LAMINATES WITH LEAST-SQUARES REVERSE-TIME MIGRATION (LSRTM)

被引:0
|
作者
He, Jiaze [1 ]
Schwarberg, Anthony [1 ]
机构
[1] Univ Alabama, Dept Aerosp Engn & Mech, Tuscaloosa, AL 35487 USA
关键词
D O I
暂无
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
A method for adapting least-squares reverse time migration (LSRTM) for ultrasonic guided wave imaging of composite laminates is proposed in this paper. As composites become more widely used in fields such as the aerospace industry, the need for high resolution imaging in structural health monitoring (SHM) and nondestructive evaluation (NDE) is also growing. For instance, delamination is a common problem in composite laminates, which has led to a certain degree of apprehension in the use of composite materials for load-bearing structures. Although the solver-based imaging techniques using conventional reverse time migration (RTM) methods illuminate damage with a wide range of damage-scattering effects, the resulted images do not fully define the damage regions due to the limited data acquisition aperture, sensor density, frequencies/wavelengths, and incompleteness of adjoint reconstruction. Previously, we have derived the LSRTM theory and benchmarked its high-resolution damage imaging performance for isotropic plates. To improve damage imaging in composite laminates, this paper proposes to create an ultrasonic guided wave-based LSRTM method for anisotropic materials. The derivation of the forward modeling operator and the adjoint operator is presented. Numerical case studies were conducted to show the improvement of LSRTM over RTM in mapping damage in composite plates. Multiple damage sites or damage with a complex shape were created in the numerical studies based on Born approximation-based modeling.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Elastic least-squares reverse time migration
    Feng, Zongcai
    Schuster, Gerard T.
    GEOPHYSICS, 2017, 82 (02) : S143 - S157
  • [32] Preconditioned least-squares reverse time migration
    Li C.
    Huang J.
    Li Z.
    Wang R.
    Li Q.
    Huang, Jianping (jphuang@mail.ustc.edu.cn), 2016, Science Press (51): : 513 - 520
  • [33] Least-squares reverse time migration of multiples
    Zhang, Dongliang
    Schuster, Gerard T.
    GEOPHYSICS, 2014, 79 (01) : S11 - S21
  • [34] An exact adjoint operation pair in time extrapolation and its application in least-squares reverse-time migration
    Ji, Jun
    GEOPHYSICS, 2009, 74 (05) : H27 - H33
  • [35] A new elastic least-squares reverse-time migration method based on the new gradient equations
    Zhong, Yu
    Liu, Yangting
    Gu, Hanming
    Mao, Qinghui
    ACTA GEOPHYSICA, 2022, 70 (06) : 2733 - 2746
  • [36] A new elastic least-squares reverse-time migration method based on the new gradient equations
    Yu Zhong
    Yangting Liu
    Hanming Gu
    Qinghui Mao
    Acta Geophysica, 2022, 70 : 2733 - 2746
  • [37] Plane-wave least-squares reverse time migration for rugged topography
    Huang, Jianping
    Li, Chuang
    Wang, Rongrong
    Li, Qingyang
    JOURNAL OF EARTH SCIENCE, 2015, 26 (04) : 471 - 480
  • [38] Elastic least-squares reverse time migration based on decoupled wave equations
    Zhong, Yu
    Gu, Hanming
    Liu, Yangting
    Mao, QingHui
    GEOPHYSICS, 2021, 86 (06) : S371 - S386
  • [39] Periodic plane-wave least-squares reverse time migration for diffractions
    Chuang, Li
    Gao, Jinghuai
    Gao, Zhaoqi
    Wang, Rongrong
    Yang, Tao
    GEOPHYSICS, 2020, 85 (04) : S185 - S198
  • [40] Periodic plane-wave least-squares reverse time migration for diffractions
    Li C.
    Gao J.
    Gao Z.
    Wang R.
    Yang T.
    Li, Chuang (chli0409@126.com), 1600, Society of Exploration Geophysicists (85): : S185 - S198