Studies on Pumice Lightweight Aggregate Concrete with Quarry Dust Using Mathematical Modeling Aid of ACO Techniques

Abstract

The lightweight aggregate is an aggregate that weighs less than the usual rock aggregate and the quarry dust is a rock particle used in the concrete for the experimentation. The significant intention of the proposed technique is to frame a mathematical modeling with the aid of the optimization techniques. The mathematical modeling is done by minimizing the cost and time consumed in the case of extension of the real time experiment. The proposed mathematical modeling is utilized to predict four output parameters such as compressive strength (Mpa), split tensile strength (Mpa), flexural strength (Mpa), and deflection (in mm). Here, the modeling is carried out with three different optimization techniques like genetic algorithm (GA), particle swarm optimization (PSO), and ant colony optimization (ACO) with 80% of data from experiment utilized for the training and the remaining 20% for the validation. Finally, while testing, the error value is minimized and the performance obtained in the ACO for the parameters such as compressive strength, split tensile strength, flexural strength, and deflection is 91%, 98%, 87%, and 94% of predicted values, respectively, in the mathematical modeling.

Tests and Models of Hydraulic Concrete Material with High Strength

“…In (10), the value of will rise with the increasement of fly-ash powder addition level ; on the contrary, the value of will fall clearly (in Figure 15). Therefore, it is believed that the updated hyperbolic model can incorporate the thermodynamic effect of fly-ash powder addition level over the temperature rise procedures of Sino HSHC.…”

“…The thermal conductivity could be the key factor for the nuclear reactor concrete [9]; the application of magnetite aggregate was helpful for the thermal conductivity innovation. The pumice material was used to substitute the rock aggregates and the cost could be cut down effectively [10]; according to the relative study, the pumice aggregate concrete could get the maximally compressive strength up to 30 MPa that met the requirements of the conventional concrete construction.…”

Mechanical characteristics, as well as physical-and-chemical properties of the slag-filled concretes, and investigation of the predictive power of the metaheuristic approach

“…Many methods on the basis of the artificial intelligence have been already developed in order to forecast quality of the concrete and ensure optimisation in the course of the multi-factor analysis of the experimental-and-statistical data. However, al-gorithms of the metaheuristic optimisation can be of special interest [25][26][27]. In our article, we will use a certain variation of the swarm intelligence algorithm in order to search local and global extremums in the course of the multi-factor analysis of the experimental-and-statistical data.…”

A New Analytical Method for Spherical Thin Shells’ Axisymmetric Vibrations

“…With the fast and continuous advancement of technology, it becomes necessary to have more efficient and effective innovative devices and engineering structures. Many publications have focused on modeling lightweight structures [1][2][3]. in spherical shells are used in civil engineering and a variety of engineering applications such as submarine hulls, aircraft, smart devices, and health monitoring systems [4][5][6][7].…”