The Newton Modified Barrier Method (NMBM) is applied to structural opt
imization problems with large a number of design variables and constra
ints. This nonlinear mathematical programming algorithm was based on t
he Modified Barrier Function (MBF) theory and the Newton method for un
constrained optimization. The distinctive feature of the NMBM method i
s the rate of convergence that is due to the fact that the design rema
ins in the Newton area after each Lagrange multiplier update. This con
vergence characteristic is illustrated by application to structural pr
oblems with a varying number of design variables and constraints. The
results are compared with those obtained by optimality criteria (OC) m
ethods and by the ASTROS program.