Abstract
A fuzzy algorithm was designed for the evaluation of wheat straw mechanical properties such as shear strength, bending
strength and young’s modulus under influence of moisture contents and loading rates. Wheat straw mechanical properties were
measured under controlled moisture contents, i.e. 9.5%, 15.1% and 22.8%, on distinguished internode positions, i.e. IN1, IN2
and IN3 (first, second and third internode, respectively), and with three loading rates, i.e. 10, 20 and 30 mm/min, respectively
during year 2013. The results showed that moisture content, loading rate at various internode regions significantly (P<0.05)
influenced the shear strength, bending strength and young’s modulus. Shear strength (yang mai 16, verity) increased with
escalating moisture content and loading rate toward third internode. Whereas bending strength and young’s modulus dropped
off with the raise of moisture content and loading rate in the direction of the third internode. The proposed mamdani min- max
27 rule based fuzzy model was evaluated with a sub data set from experimental results. Coefficients of determination of
relationships for shear strength, bending strength and young’s modulus were 0.96, 0.92 and 0.75j, respectively, indicating that
the fuzzy logic algorithm for mechanical properties prediction of wheat straw could be regarded as an substitute under the
selected experimental conditions.
