Results 251 to 260 of about 335,451 (304)

Prediction of compressive strength of CFRP composite structures using notch strength

International Journal of Precision Engineering and Manufacturing, 2013
Composite materials called CFRP (Carbon fiber reinforced plastics) are widely used in the aerospace industry and otherrelated industries like the automobile and in sports. Nowadays, CFRP composite materials are receiving much attention because of their superior mechanical properties compared to metals and their lightweight, which has contributed to the
Sang Soo Ahn, Suk Woo Hong, Jae Mean Koo, Chang Sung Seok   +3 more
openaire   +1 more source

Compressive strength prediction of recycled concrete based on deep learning

Construction and Building Materials, 2018
Considering on the current difficulties of predicting the compressive strength of recycled aggregate concrete, this paper proposes a prediction model based on deep learning theory. First, the deep features of water-cement ratio, recycled coarse aggregate
Fangming Deng, Yigang He, S. Zhou, Y. Yu, Haigen Cheng, Xiang Wu   +5 more
semanticscholar   +1 more source

Compressive Strength Prediction Using Linear Regression Method

2023
This study investigates the compressive strength of cement kiln replacement mixtures using a mechanistic modeling approach. The objective is to establish a mathematical model that predicts the compressive strength based on the percentage of cement kiln replacement. The study analyzed data from various replacement percentages ranging from 10% to 35% and
TİZA, Michael Toryila, IMONİ, Samson, ONYEBUCHİ, Mogbo, AKANDE, Ebenezer Ogırıma, JİYA, Victoria Hassana, ONUZULİKE, Collins   +5 more
openaire   +1 more source

Predictive modeling of concrete compressive strength based on cement strength class

Computers and Concrete, 2013
In the current study, a method for concrete compressive strength prediction (based on cement strength class), incorporated in a software package developed by the authors for the estimation of concrete service life under harmful environments, is presented and validated. Prediction of concrete compressive strength, prior to real experimentation, can be a
V.G. Papadakis, S. Demis
openaire   +1 more source

Compressive strength prediction of hollow concrete masonry blocks using artificial intelligence algorithms

Structures, 2023
Pouyan Fakharian, Danial Rezazadeh Eidgahee, Mahdi Akbari, H. Jahangir, Amir Ali Taeb   +4 more
semanticscholar   +1 more source

Compressive strength prediction of high-strength concrete using hybrid machine learning approaches by incorporating SHAP analysis

Asian Journal of Civil Engineering, 2023
A. Kashem, Pobithra Das
semanticscholar   +1 more source

Prediction of compressive strength of concrete

AIP Conference Proceedings, 2023
M. Satish Varma, Akshitha Jain, B. Hemanth, J. Satwik, A. Bhaskar Sai   +4 more
openaire   +1 more source

Compressive strength prediction of PET fiber-reinforced concrete using Dolphin echolocation optimized decision tree-based machine learning algorithms

Asian Journal of Civil Engineering, 2023
Suraj Kumar Parhi, S. K. Patro
semanticscholar   +1 more source

Compressive strength prediction of basalt fiber reinforced concrete via random forest algorithm

Materials Today Communications, 2022
Hong Li, Jia‐Horng Lin, Xiaobao Lei, Tianxia Wei   +3 more
semanticscholar   +1 more source

Sustainable of rice husk ash concrete compressive strength prediction utilizing artificial intelligence techniques

Asian Journal of Civil Engineering, 2023
Sourov Paul, Pobithra Das, A. Kashem, Naimul Islam   +3 more
semanticscholar   +1 more source