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Related to convolution integrals: Faltung, convolving
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The kernel of the convolution integral in Eqs (20) and (21) corresponds to the standard viscoelastic model [22], which models both dispersion and relaxation effects.
In contrast with CWR-BUCKLE program, which use probability density functions, the probabilistic computational algorithm of SCFJ program is based on the evaluation of convolution integrals (Ghiocel & Lungu, 1975) in a discrete approach (Ghiocel & Lungu, 1982), using the histograms of the main parameters which characterize the stability of the CWR track (Ungureanu & Dosa, 2007).
Then these results are introduced in the expressions of convolution integral to obtain the buckling probability versus rail temperature (Ungureanu, 2007).