Bendability assessment of advanced high strength steels thanks to artificial neural networks

PREDICTION OF COMPRESSIVE STRENGTH AND DURABILITY OF HIGH PERFORMANCE CONCRETE BY ARTIFICIAL NEURAL NETWORKS

Neural networks have recently been widely used to model some of the human activities in many areas of civil engineering applications. In the present paper, artificial neural networks (ANN) for predicting compressive strength of cubes and durability of concrete containing metakaolin with fly ash and silica fume with fly ash are developed at the age of 3, 7, 28, 56 and 90 days. For building these...

High-Strength Bainitic Steels

With careful design, mixed microstructures consisting of fine plates of upper bainitic ferrite separated by thin films of stable retained austenite have exhibited impressive combinations of strength and toughness in highsilicon bainitic steels. The silicon suppresses the precipitation of brittle cementite leading to an improvement in toughness. The essential principles governing the optimisatio...

High Strain Rate Characterization of Advanced High Strength Steels

high-strength bainitic steels

with careful design, mixed microstructures consisting of fine plates of upper bainitic ferrite separated by thinfilms of stable retained austenite have exhibited impressive combinations of strength and toughness in highsiliconbainitic steels. the silicon suppresses the precipitation of brittle cementite leading to an improvement intoughness. the essential principles governing the optimisation o...

Prediction of Pervious Concrete Permeability and Compressive Strength Using Artificial Neural Networks

Pervious concrete is a concrete mixture prepared from cement, aggregates, water, little or no fines, and in some cases admixtures. The hydrological property of pervious concrete is the primary reason for its reappearance in construction. Much research has been conducted on plain concrete, but little attention has been paid to porous concrete, particularly to the analytical prediction modeling o...