کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
816188 906434 2014 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of concrete compressive strength due to long term sulfate attack using neural network
ترجمه فارسی عنوان
پیش بینی مقاومت فشاری بتن به علت حمله طولانی مدت سولفات با استفاده از شبکه عصبی
کلمات کلیدی
شبکه عصبی، حمله سولفات، از دست دادن قدرت فشرده،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی (عمومی)
چکیده انگلیسی
This work was divided into two phases. Phase one included the validation of neural network to predict mortar and concrete properties due to sulfate attack. These properties were expansion, weight loss, and compressive strength loss. Assessment of concrete compressive strength up to 200 years due to sulfate attack was considered in phase two. The neural network model showed high validity on predicting compressive strength, expansion and weight loss due to sulfate attack. Design charts were constructed to predict concrete compressive strength loss. The inputs of these charts were cement content, water cement ratio, C3A content, and sulfate concentration. These charts can be used easily to predict the compressive strength loss after any certain age and sulfate concentration for different concrete compositions.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Alexandria Engineering Journal - Volume 53, Issue 3, September 2014, Pages 627-642
نویسندگان
, , , ,