Imperial College London

ProfessorMichaelLowe

Faculty of EngineeringDepartment of Mechanical Engineering

Head of Department of Mechanical Engineering
 
 
 
//

Contact

 

+44 (0)20 7594 7000m.lowe Website

 
 
//

Assistant

 

Ms Nina Hancock +44 (0)20 7594 7068

 
//

Location

 

577DCity and Guilds BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Choi:2018:10.1016/j.ndteint.2018.04.004,
author = {Choi, W and Shi, F and Lowe, MJS and Skelton, EA and Craster, RV and Daniels, WL},
doi = {10.1016/j.ndteint.2018.04.004},
journal = {NDT and E International},
pages = {27--36},
title = {Rough surface reconstruction of real surfaces for numerical simulations of ultrasonic wave scattering},
url = {http://dx.doi.org/10.1016/j.ndteint.2018.04.004},
volume = {98},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - The scattering of waves by rough surfaces plays a significant role in many fields of physical sciences including ultrasonics where failure surfaces are often rough and their accurate identification is critical. The prediction of the strength of scattering can be hampered when the roughness is not adequately characterised and this is a particular issue when the surface roughness is within an order of the incident wavelength. Here we develop a methodology to reconstruct, and accurately represent, rough surfaces using an AutoRegressive (AR) process that then allows for rapid numerical simulations of ultrasonic wave rough surface scattering in three dimensions. Gaussian, exponential and AR surfaces are reconstructed based on real surface data and the statistics of the surfaces are compared with each other. The statistics from the AR surfaces agree well with those from actual rough surfaces, taken from experimental samples, in terms of the heights as well as the gradients, which are the two main factors in accurately predicting the wave scattering intensities. Ultrasonic rough surface scattering is simulated numerically using the Kirchhoff approximation, and comparisons with Gaussian, exponential, AR and real sample surfaces are performed; scattering intensities found using AR surfaces show the best agreement with the real sample surfaces.
AU - Choi,W
AU - Shi,F
AU - Lowe,MJS
AU - Skelton,EA
AU - Craster,RV
AU - Daniels,WL
DO - 10.1016/j.ndteint.2018.04.004
EP - 36
PY - 2018///
SN - 0963-8695
SP - 27
TI - Rough surface reconstruction of real surfaces for numerical simulations of ultrasonic wave scattering
T2 - NDT and E International
UR - http://dx.doi.org/10.1016/j.ndteint.2018.04.004
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000437815800004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/64065
VL - 98
ER -