European Journal of Environmental and Civil Engineering 

About: European Journal of Environmental and Civil Engineering is an academic journal published by Taylor & Francis. The journal publishes majorly in the area(s): Compressive strength & Cement. It has an ISSN identifier of 1964-8189. Over the lifetime, 1923 publications have been published receiving 18692 citations. The journal is also known as: EJECE.

Introduction to discrete element methods : basic of contact force models and how to perform the micro-macro transition to continuum theory

Abstract: One challenge of today's research is the realistic simulation of granular materials, like sand or powders, consisting of millions of particles. In this article, the discrete element method (DEM), as based on molecular dynamics methods, is introduced. Contact models are at the physical basis of DEM. A set of the most basic force models is presented involving either elasto-plasticity, adhesion, viscosity, static and dynamic friction as well as rolling- and torsion-resistance. The examples given concern clustering in granular gases, and bi-axial as well as cylindrical shearing of dense packings in order to illustrate the micro-macro transition towards continuum theory.

The influence of the use of recycled aggregates on the compressive strength of concrete: a review

Abstract: This paper provides a systematic review of 119 publications, selected from 235, published over a period of 36 years from 1978 to 2014, relating to the effect on concrete compressive strength of the various aspects related to the use of recycled aggregates (RA) such as replacement level, size, origin, moisture content, exposure of the resulting concrete to different environmental conditions, use of chemical admixtures and additions, and strength development over time The data were collectively subjected to a statistical analysis, the results of which allowed producing a model for predicting concrete strength, based on the quality and content of the RA

Concrete with fine recycled aggregates: a review

Abstract: This paper presents a review of the literature published so far on the use of fine aggregates from construction demolition waste used as a partial or total replacement of fine natural aggregates in concrete production. The review presents the initial works on this subject and an overview of the existing regulations. It goes on to describe the production, treatment and properties of the fine recycled aggregates (FRA). The most suitable mixing techniques for concrete with this type of aggregates are then discussed. The properties of these concrete mixes are analysed in detail, after which a few examples of structures with this type of concrete are described and compared. The acquisition of fine natural aggregates and the dumping of the fine fraction of construction and demolition waste are two serious environmental problems that can be solved simultaneously by using FRA in concrete production, a subject that is lagging behind the use of the corresponding coarse fraction.

Review on concrete nanotechnology

Abstract: The study of the application of nanotechnology in the construction industry and building structures is one of the most prominent priorities of the research community. The outstanding chemical and physical properties of nanomaterials enable several applications ranging from structural reinforcement to environmental pollution remediation and production of self-cleaning materials. It is known that concrete is the leading material in structural applications, where stiffness, strength and cost play a key role in the high attributes of concrete. This paper reviews the literature on the application of nanotechnology in the construction industry, more particularly in concrete production. The paper first presents general information and definitions of nanotechnology. Then, it focuses on the most effective nanoadditives that readily improve concrete properties, such as (i) nanosilica and silica fume, (ii) nanotitanium dioxide, (iii) iron oxide, (iv) chromium oxide, (v) nanoclay, (vi) CaCO3, (vii) Al2O3, (viii) carb...

Prediction of self-compacting concrete strength using artificial neural networks

Abstract: Despite the widespread use of self-compacting concrete (SCC) in construction in the last decades, there is not yet a robust quantitative method, available in the literature, which can reliably predict their strength based on the mix components. This is mainly due to the highly non-linear behaviour exhibited by the compressive strength in relation to the components of the concrete mixtures. In the present paper, the application of artificial neural networks (ANNs) to predict the mechanical characteristics of SCC has been investigated. Specifically, ANN models for the prediction of the 28-days compressive strength of admixture-based self-compacting concrete (based on experimental data available in the literature) are presented. The comparison of the derived results with experimental findings demonstrates the promising potential of using back propagation neural networks for the reliable and robust approximation of the compressive strength of self-compacting concrete.