کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
568385 876383 2010 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Artificial neural network application on microstructure–compressive strength relationship of cement mortar
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزار
پیش نمایش صفحه اول مقاله
Artificial neural network application on microstructure–compressive strength relationship of cement mortar
چکیده انگلیسی

Artificial neural network analysis was performed to establish a relationship between microstructural characteristics and compressive strength values of cement mortar in this study. Pore properties such as pore area ratio, total pore length, total dendrite length and average roundness, and paste properties such as hydrated part area and unhydrated part area ratios were approached as microstructural characteristics obtained by digital image analysis. These microstructural quantities were correlated with compressive strength values of cement mortar incorporating with the chemical admixtures by different dosages, which resulted as several microstructural characteristics. Artificial neural network (ANN) analysis indicated that by using ANN as non-linear statistical data modeling tool, a strong correlation between the microstructural properties of cement mortar and compressive strengths can be established.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Advances in Engineering Software - Volume 41, Issue 2, February 2010, Pages 165–169
نویسندگان
, ,