Compressive Strength Prediction of PVA Fiber-Reinforced Cementitious Composites Containing Nano-SiO2 Using BP Neural Network

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Simplified Micromechanical Model of Compressive Strength of Fiber-Reinforced Cementitious Composites

A micromechanical model is constructed for the compressive strength of fiber-reinforced cementitious composites (FRCs). This model is based on the classical models of compressive failure of brittle solids in which sliding microcracks induce wing-crack growth under compression loads. The concept of increased microcrack sliding resistance and wing-crack growth retardation associated with fiber br...

متن کامل

Statistical Microbuckling Propagation Model for Compressive Strength Prediction of Fiber-Reinforced Composites

Compressive strength prediction for a fiber-reinforced composite material still remains an unresolved topic when dealing with composites in the design process. Although significant scatter is present in the experimental data, experimental test results are the only criteria on which to base design parameters. Although significant advances have been accomplished recently by various modeling techn...

متن کامل

Modeling and Prediction of Flexural Strength of Hybrid Mesh and Fiber Reinforced Cement-based Composites Using Artificial Neural Network (ann)

In this paper, Artificial Neural Network (ANN) has been used to predict the equivalent flexural strength of hybrid mesh and fiber reinforced cement-based composites (HMFRCBC). Three ANN models (Models 1, 2 and 3) were developed for predicting the flexural strength of cement-based composites. Model 1 used 48 data of the previously published data of the present authors and Model 2 used 48 data (o...

متن کامل

Using Artificial Neural Network to Predict the Compressive Strength of Concrete containing Nano-silica

This paper presents application of artificial neural network to develop model for predicting 28 days compressive strength of concrete with partial replacement of cement with nano-silica for which the data has been taken from various literatures. The use of nano-particle materials in concrete can add many benefits that are directly related to the durability of various cementitious materials, bes...

متن کامل

Prediction of ultimate strength of shale using artificial neural network

A rock failure criterion is very important for prediction of the ultimate strength in rock mechanics and geotechnics; it is determined for rock mechanics studies in mining, civil, and oil wellborn drilling operations. Also shales are among the most difficult to treat formations. Therefore, in this research work, using the artificial neural network (ANN), a model was built to predict the ultimat...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Materials

سال: 2020

ISSN: 1996-1944

DOI: 10.3390/ma13030521