2018
DOI: 10.1190/geo2017-0536.1
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How to adapt numerical simulation of wave propagation and ultrasonic laboratory experiments to be comparable — A case study for a complex topographic model

Abstract: How to adapt numerical simulation of wave propagation and ultrasonic laboratory experiments to be comparable? A case study for a complex topographic model Running head: Comparison of synthetic and lab data

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Cited by 6 publications
(18 citation statements)
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“…[3][4][5]). The role of physical laboratories is therefore mainly to explore novel or less well-understood physics or to investigate wave propagation in highly complex media that cannot easily be simulated [6][7][8][9][10]. However, such laboratories often suffer from unwanted back-scattering of waves from the physical boundary of the laboratory, which can mask waveforms of interest and hamper their interpretation [1].…”
Section: Introductionmentioning
confidence: 99%
“…[3][4][5]). The role of physical laboratories is therefore mainly to explore novel or less well-understood physics or to investigate wave propagation in highly complex media that cannot easily be simulated [6][7][8][9][10]. However, such laboratories often suffer from unwanted back-scattering of waves from the physical boundary of the laboratory, which can mask waveforms of interest and hamper their interpretation [1].…”
Section: Introductionmentioning
confidence: 99%
“…In this context, after having experienced a drop in laboratory experimentation related papers for two decades, laboratory experiments are now re-considered as a tool to understand real field data and purely numerical datasets as well, to facilitate the testing of new ideas (Becker et al, 2018), to investigate the physics underlying wave propagation that is not sufficiently understood (Cooper et al, 2010, Stewart et al, 2012, Ekanem et al, 2013, Xu et al, 2016, Chang et al, 2017, as well as to test numerical algorithms used for data processing and imaging (Campman et al, 2005, Chai et al, 2015. Recently, small-scale modeling approaches have been developed as tools to test numerical modeling and seismic-imaging methods in the context of onshore and offshore seismics (Bretaudeau et al, 2011, 2013, Favretto-Cristini et al, 2014, Tantsereva et al, 2014a,b, Solymosi et al, 2018. In particular, Tantsereva et al (2014a) have evaluated the ability of a 3D discretized Kirchhoff integral method (DKIM) to accurately simulate complex diffractions using a zero-offset laboratory data set, measured for a reduced-scale model with strong topography and immersed in a water tank.…”
Section: Introductionmentioning
confidence: 99%
“…Nonetheless, scaling experiments in certain geological environments are still challenging. Indeed, as the real-life dimensions are often scaled down to the laboratory scale by a factor of 10 000 -20 000 (Bretaudeau et al, 2011, Solymosi et al, 2018, it may be technically difficult to reproduce at a reduced scale some of the heterogeneities found in real geological environments. As a consequence, it is not straightforward to study, for instance, the impact of the non-linear behavior of materials due to micro-damage or cracks on wave propagation.…”
Section: Introductionmentioning
confidence: 99%
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