High-Performance Concrete Compressive Strength Prediction Based Weighted Support Vector Machines
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 1
Abstract
Concrete is the safest and sustainable construction material which is most widely used in the world as it provides superior fire resistance, gains strength over time and gives an extremely long service life. Unfortunately high performance concrete is undoubtedly one of the most innovativ e materials in construction. Its Designing involves the process of selecting suitable ingredients of concrete (water, cement, fine and aggregates and a number of additives like mineral and chemical admixture) and determining their relative amounts with the objective of producing a high performance concrete of the required, strength, durability, and workability as economically as possible. Their proportions have a high influence on the final strength of the product. These relations do not seem to follow a mathematical formula and yet their knowledge is crucial to optimize the quantities of raw materials used in the manufacture of high performance concrete. Therefore, it would be important to have a tool to numerically model such relationships, even before pro cessing. In this aspect the main purpose of this paper is to predict the compressive strength of the high performance concrete by using classification algorithms. For building these models, training and testing using the available experimental results for 1030 specimens produced with 8 different mixture proportions are used. The result from this study suggests that weighted Support Vector Machines (wSVM) based models perform remarkably well in predicting the compressive strength of the concrete mix.
Authors and Affiliations
Rguig Mustapha, EL Aroussi Mohamed
Keywords
Related Articles
- EP ID EP389673
- DOI 10.9790/9622-0701016875.
- Views 163
- Downloads 0
Direct gelcast3D Printing of Multi-material AlN Interposer and Mo
In this paper, we investigate the use of direct gelcast 3D printing method to produce near net shape multimaterial component using the natural-occurring gelcasting monomer, ovalbumin for both AlN ceramics and Mo metals....
Comparative Study of the FCCU Regenerator Using Aspen Hysys
A study of the Fluid catalytic cracking Unit, with more emphasis on the regenerator is presented. Predictive simulation results for the regenaration temperature, quantity of coke burnt and flue gas composition at differe...
Influence of Intermediate-Sized Particle Content on Traditional Dry-Rodded and Vibrated Aggregate Packing
The addition of standard intermediate aggregate (IA) content may provide desired intermediate-sized aggregate particle (ISA) content that can enhance the aggregate gradation and predictability of the aggregate packing (k...
Sustainable Lightweight Wireless Communication Stack
A light weight wireless communication stack based on wireless communication establishment. It handles data received over the air and send serially with security checking and acknowledgement. Also it transmits data over t...
Voltammetric behavior of selenium from H2SeO3 solution on solid copper amalgam electrode
Issues concerning the remote monitoring and in-the-field analysis have generated considerable research effort aimed at finding methods with acceptable performance. Voltammetry has been known as one of the methods that ar...