<p>Corrugated
webs are used to increase the shear stability of steel webs of beam-like members and to eliminate the need of transverse stiffeners.
Previously developed formulas for predicting the shear strength of trapezoidal corrugated steel webs,
along with the corresponding theory, are summarized. An artificial neural
network (ANN)-based model
is proposed to
estimate the shear strength
of steel girders
with a trapezoidal
corrugated web, and under a concentrated load. 210 test results from previous published
research were collected into a database according to relevant test specimen parameters in order to feed the
simulated ANNs. Seven (geometrical and
material) parameters were identified as input variables and the ultimate shear stress
at failure was considered the output variable. The proposed ANN-based analytical model yielded
maximum and mean relative errors of 0.0% for the 210 points from the database.
Moreover, still based on those points, it was illustrated that the ANN-based model clearly
outperforms the other existing analytical models,
which yield mean errors
larger than 13%.</p>