Results 211 to 220 of about 3,514,032 (266)

Artificial neural network model to predict the compressive strength of eco-friendly geopolymer concrete incorporating silica fume and natural zeolite

Journal of Cleaner Production, 2021
The growing concern about global climate change and its adverse impacts on societies is putting severe pressure on the construction industry as one of the largest producers of greenhouse gases.
Amir Ali Shahmansouri, M. Yazdani, S. Ghanbari, H. A. Bengar, A. Jafari, Hamid Farrokh Ghatte   +5 more
semanticscholar   +1 more source

Numerical and theoretical investigation on the size effect of concrete compressive strength considering the maximum aggregate size

International Journal of Mechanical Sciences, 2021
The aggregate size plays an important role in the nonlinear mechanical behaviour of concrete, which is strongly related to the size effect. In this study, the meso-mechanical modelling method has been established based on the continuous grading aggregate
Liu Jin, Wenxuan Yu, Dong Li, Xiu-li Du
semanticscholar   +1 more source

Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach

Construction and Building Materials, 2020
In this paper, an intelligent approach based on the machine learning technique is proposed for predicting the compressive strength of concrete. This approach employs the adaptive boosting algorithm to construct a strong learner by integrating several ...
D. Feng, Zhen-Tao Liu, Xiao-Dan Wang, Yin Chen, Jianbo Chang, Dongmei Wei, Zhong-Ming Jiang   +6 more
semanticscholar   +1 more source

A comparative investigation using machine learning methods for concrete compressive strength estimation

, 2021
Concrete compressive strength plays an important role in determining the mechanical properties of concrete. The determination of concrete compressive strength requires lengthy laboratory tests.
Kadir Güçlüer, Abdurrahman Özbeyaz, Samet Göymen, O. Günaydın   +3 more
semanticscholar   +1 more source

Compressive strength prediction of eco-efficient GGBS-based geopolymer concrete using GEP method

, 2020
Geopolymer concrete (GPC) could be used as an environmental-friendly alternative solution for concrete production due to the detrimental impacts of cement production on the environment.
Amir Ali Shahmansouri, H. A. Bengar, S. Ghanbari   +2 more
semanticscholar   +1 more source

Analyzing the compressive strength of green fly ash based geopolymer concrete using experiment and machine learning approaches

, 2020
In this research, two different machine learning approaches are proposed for predicting the compressive strength of fly ash based geopolymer concrete. Experimental work with a total of 335 mix proportions were conducted to produce the data for training ...
K. T. Nguyen, Quang Dang Nguyen, T. Le, Jiuk Shin, Kihak Lee   +4 more
semanticscholar   +1 more source

Correlation between pore structure, compressive strength and thermal conductivity of porous metakaolin geopolymer

, 2020
This paper investigates the effect of mixing parameters (that are, alkali concentration, AA ratio, and MK/AA ratio) on the thermal conductivity of metakaolin geopolymers.
N. Jaya, L. Yun-Ming, H. Cheng-Yong, M. Abdullah, K. Hussin   +4 more
semanticscholar   +1 more source

Assessment of compressive strength of Ultra-high Performance Concrete using deep machine learning techniques

Applied Soft Computing, 2020
The compressive strength of Ultra-High Performance Concrete (UHPC) is a function of the type, property and quantities of its material constituents. Empirically capturing this relationship often requires the utilization of intelligent algorithms, such as ...
Omar R. Abuodeh, Jamal A. Abdalla, R. Hawileh   +2 more
semanticscholar   +1 more source

Machine learning prediction of compressive strength for phase change materials integrated cementitious composites

Construction and Building Materials, 2020
Incorporating phase change materials (PCMs) into cementitious composites has recently attracted paramount interest. While it can enhance thermal characteristics and energy storage, compressive strength can be decreased.
Afshin Marani, M. Nehdi
semanticscholar   +1 more source

Estimation of the compressive strength of concretes containing ground granulated blast furnace slag using hybridized multi-objective ANN and salp swarm algorithm

Construction and Building Materials, 2020
The use of supplementary cementitious materials such as ground granulated blast furnace slag (GGBFS) in concrete mixtures provides many technical and economic benefits.
A. Kandiri, Emadaldin Mohammadi Golafshani, A. Behnood   +2 more
semanticscholar   +1 more source