2013
DOI: 10.1121/1.4828824
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The diffracted field and its gradient near the edge of a thin screen

Abstract: The secondary edge source line integral formulation for diffraction modeling uses edge sources with a 1/r dependency, in addition to a directivity function. At first sight, this might seem to contradict the expected 1/r behavior for the gradient near the edge of a thin screen. An analysis is presented for the special case of perpendicular plane wave incidence onto a thin screen, which shows that the secondary edge source formulation does indeed lead to the expected behavior close to the edge of an ideal wedge.

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Cited by 3 publications
(4 citation statements)
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“…The formula for β D above corrects that in Ref. 11 by reversing the sign of β D . Also, the first expression for η in Eq.…”
Section: Edge Source Integral For Ideal Wedgessupporting
confidence: 69%
See 1 more Smart Citation
“…The formula for β D above corrects that in Ref. 11 by reversing the sign of β D . Also, the first expression for η in Eq.…”
Section: Edge Source Integral For Ideal Wedgessupporting
confidence: 69%
“…Electronic mail: hewett@maths.ox.ac.uk ficient numerical evaluation of the line integrals has been considered in Ref. 9 using the method of numerical steepest descent, as has the behaviour of the line integrals near shadow boundaries 10 and edges 11 . Note also Ref.…”
Section: Introductionmentioning
confidence: 99%
“…This arrangement is consistent with the expectation that Ũtotal ! 0 at the edge of the panel 59 and meets the continuity requirements of H. 60 Pressure at receiver locations can be evaluated by U scat ðxÞ ¼ Df Ũtotal gðxÞ þikYSf U total gðxÞ. Following the same logic used to derive this statement, 61 it can be asserted that the equivalent statement for spherical harmonic coefficients will also hold: A scat m;n ¼ ikD in m;n f Ũtotal gðxÞ À k 2 YS in m;n f U total gðxÞ.…”
Section: Scenementioning
confidence: 99%
“…Equivalent behaviour is seen in line-integral representations of scattering from sound hard wedges (e.g. Equation (4) of [27]). …”
Section: Computing the Gradient Of ‰ Jmentioning
confidence: 99%