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@INPROCEEDINGS{Saenger:874417,
      author       = {Saenger, Erik H. and Werner, Claudia and Nguyen, Luan T.
                      and Kocur, Georg K. and Ahrens, Benedikt},
      title        = {{N}umerical {S}imulations of {W}ave {P}ropagation: {T}ime
                      {R}everse {I}maging and {D}efect {M}apping in {P}ipes},
      volume       = {50},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2020-01427},
      series       = {Publication Series of the John von Neumann Institute for
                      Computing (NIC) NIC Series},
      pages        = {231 - 241},
      year         = {2020},
      comment      = {NIC Symposium 2020},
      booktitle     = {NIC Symposium 2020},
      abstract     = {Time reverse imaging (TRI) is evolving into a standard
                      technique for locating and characterising seismic events. In
                      recent years, TRI has been employed for a wide range of
                      applications from the lab scale, to the field scale and up
                      to the global scale. No identification of events or their
                      onset times is necessary when locating events with TRI;
                      therefore, it is especially suited for locating
                      quasi-simultaneous events and events with a low
                      signal-to-noise ratio. However, in contrast to more
                      regularly applied localisation methods, the prerequisites
                      for applying TRI are not sufficiently known. To investigate
                      the significance of station distributions, complex velocity
                      models and signal-to-noise ratios with respect to location
                      accuracy, numerous simulations were performed using a finite
                      difference code to propagate elastic waves through
                      three-dimensional models. Moreover, we present a
                      reverse-time imaging technique by cross-correlating the
                      forward wavefield with the reverse wavefield for the
                      detection, localisation, and sizing of defects in pipelines.
                      The presented technique allows to capture the wavefield
                      reflectivity at the places of ultrasonic wave scattering and
                      reflections. Thus, the method is suitable for detecting pipe
                      defects of either point-like or finite-size types using data
                      from a pulse-echo setup. By using synthetic data generated
                      by 3D spectral element pipe models, we show that the 3D
                      wavefield cross-correlation imaging is capable in the case
                      of cylindrical guided ultrasonic waves. With a ring setup of
                      transducers, we analyse the imaging results obtained from
                      the synthetic single-transducer and all-transducer firings.
                      The presented pipe flaw imaging method is straightforward to
                      carry out using a suitable wave equation solver.},
      month         = {Feb},
      date          = {2020-02-27},
      organization  = {NIC Symposium 2020, Jülich (Germany),
                       27 Feb 2020 - 28 Feb 2020},
      cin          = {NIC},
      cid          = {I:(DE-Juel1)NIC-20090406},
      pnm          = {899 - ohne Topic (POF3-899)},
      pid          = {G:(DE-HGF)POF3-899},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      url          = {https://juser.fz-juelich.de/record/874417},
}