Evolutionary Optimization of Neural Networks for Estimating Mechanical Properties of Lightweight Aggregate Concretes

2017 ◽  
Author(s):  
Leonardo Goliatt ◽  
Michele Farage ◽  
Jonata Jefferson Andrade ◽  
Lucas Neves Silva ◽  
Rogerio Santos
Keyword(s):  
Mechanical Properties ◽  
Neural Networks ◽  
Lightweight Aggregate ◽  
Evolutionary Optimization

Mechanical Properties of Mortar Modified with Cement Treated Tyre Crumb and Oil Palm Fruit Fibre

2015 ◽  
Vol 802 ◽  
pp. 225-230
Author(s):  
Farah Noor Abdul Aziz ◽  
Sani Mohammed Bida ◽  
Noor Azline Mohd Nasir ◽  
Nor Azizi Safiee ◽  
Mohd Saleh Jaafar
Keyword(s):  
Mechanical Properties ◽  
Oil Palm ◽  
Lightweight Aggregate ◽  
Lightweight Aggregate Concrete ◽  
Material Research ◽  
Split Tensile Strength ◽  
Palm Fruit ◽  
The Matrix ◽  
Waste Tyre ◽  
Mechanical Strengths

Addition or replacement of waste tyre in mortars and concretes in lightweight aggregate concrete composites are popular in concrete material research although the mechanical properties of the composite are reduced. Various research studies have been conducted in an effort to improve the mechanical properties of concretes and mortars containing waste tyre particles using chemicals and additives which lead to increase cost. This approach presents an economical and sustainable method, through adding oil palm fruit fibre (OPFF) at 0.5, 1%, and 1.5% by mass of cement content into the matrix and pre-treating the tyre crumb aggregate (0-40%) by volume with cement, in order to improve the properties of the composite. Mechanical properties including compressive strength, split tensile strength and flexural strength were measured on the mortar specimens. Results showed the addition of 0.5% OPFF in 10% treated tyre crumb mortar gives the best improvement in the mechanical strengths of mortar modified with treated tyre crumb.

Prediction of Ferrite-Martensite Dual-Phase Steels Mechanical Properties by Use of Artificial Neural Networks

2013 ◽  
Vol 773-774 ◽  
pp. 268-274
Author(s):  
Amir Ghiami ◽  
Ramin Khamedi
Keyword(s):  
Mechanical Properties ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Back Propagation ◽  
Total Elongation ◽  
Ultimate Tensile Stress ◽  
Dual Phase ◽  
Dual Phase Steels ◽  
Good Ability ◽  
Artificial Neural

This paper presents an investigation of the capabilities of artificial neural networks (ANN) in predicting some mechanical properties of Ferrite-Martensite dual-phase steels applicable for different industries like auto-making. Using ANNs instead of different destructive and non-destructive tests to determine the material properties, reduces costs and reduces the need for special testing facilities. Networks were trained with use of a back propagation (BP) error algorithm. In order to provide data for training the ANNs, mechanical properties, inter-critical annealing temperature and information about the microstructures of many specimens were examined. After the ANNs were trained, the four parameters of yield stress, ultimate tensile stress, total elongation and the work hardening exponent were simulated. Finally a comparison of the predicted and experimental values indicates that the results obtained from the given input data reveal a good ability of the well-trained ANN to predict the described mechanical properties.

Mechanical Properties of Fiber Reinforced Lightweight Aggregate Concrete

2011 ◽  
Vol 477 ◽  
pp. 274-279 ◽  
Author(s):  
Yi Xu ◽  
Lin Hua Jiang ◽  
Hong Qiang Chu ◽  
Lei Chen
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
Compressive Strength ◽  
Water Hyacinth ◽  
Steel Fiber ◽  
Polypropylene Fiber ◽  
Lightweight Aggregate ◽  
Splitting Tensile Strength ◽  
Lightweight Aggregate Concrete ◽  
Fiber Types

In this study, the effects of fiber types on the mechanical properties of lightweight aggregate concretes were investigated. Three types of fibers, namely, polypropylene fiber, steel fiber and water hyacinth (Eichhornia crassipes) fiber, and two types of lightweight aggregates, namely, expanded polystyrene and ceramsite were used. The compressive strength and splitting tensile strength of concretes were tested. The results show that both the compressive strength and the splitting tensile strength were improved by adding a reasonable volume of steel fiber and polypropylene fiber into LWAC. The addition of water hyacinth fiber had little effect on the compressive strength of LWAC, while a little increase was observed in the splitting tensile strength.

Lightweight Aggregate Concrete as an Alternative for Dense Concrete in Post-Tensioned Concrete Slab

2018 ◽  
Vol 926 ◽  
pp. 140-145 ◽  
Author(s):  
Małgorzata Mieszczak ◽  
Lucyna Domagała
Keyword(s):  
Mechanical Properties ◽  
Lightweight Concrete ◽  
Concrete Slab ◽  
Lightweight Aggregate ◽  
Lightweight Aggregate Concrete ◽  
Aggregate Concrete ◽  
Large Span ◽  
Shrinkage And Creep ◽  
Theoretical Results ◽  
Post Tensioned

The paper presents the results of tests conducted on two lightweight aggregate concretes made of new national Certyd artificial aggregate. This research is intended to first application of lightweight concrete to construct large-span post-tensioned slab. In addition to mechanical properties development, shrinkage and creep during 3 months of loading were tested. The obtained results are compared with theoretical results predicted by standard. Conducted tests indicated, that measured values of shrinkage and creep are significantly lower than predicted ones. This is promise for application of tested concrete in construction of post-tensioned slabs.

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