Nonwoven needle-punched fabrics are the most
common textile structures used as geotextiles. In most
applications, geotextiles are subjected to compressive forces.
These forces cause the layers to deform and eventually create
puncture. The present study develops an intelligent model for
the evaluation of static puncture resistance and real elongation
of nonwoven needle-punched polyester fabrics using fuzzy
logic method. The fuzzy logic expert system, contrary to
many other mathematical methods, can considerably forecast
the behavior of nonlinear complex phenomena. Parameters
of needle penetration depth, needle punch density, and
fabric areal weight were considered as input variables of the
designed model. The experimental results were conducted
by a universal strength tester based on the well-known static
puncture (CBR) test method. The fuzzy model showed that
puncture resistance increases with the enhancement of fabric
areal weight, but excessive increase of the needling parameters
causes the puncture resistance to decrease. Furthermore, the
results of the model demonstrated that the fabric puncture
real elongation decreases, while the input variables increase.
It was also observed that the real and predicted values of
puncture resistance and puncture real elongation of the
fabrics were in good agreement with very low absolute error.