Sensitivity Analysis of Mechanical and Geometrical Properties of Fly Ash Stabilized Overburden Dumps Using Mathematical Simulations

Author(s):  
T. Gupta ◽  
M. Jamal ◽  
M. Yellishetty ◽  
T. N. Singh
2020 ◽  
Vol 10 (21) ◽  
pp. 7726
Author(s):  
An Thao Huynh ◽  
Quang Dang Nguyen ◽  
Qui Lieu Xuan ◽  
Bryan Magee ◽  
TaeChoong Chung ◽  
...  

Geopolymer concrete offers a favourable alternative to conventional Portland concrete due to its reduced embodied carbon dioxide (CO2) content. Engineering properties of geopolymer concrete, such as compressive strength, are commonly characterised based on experimental practices requiring large volumes of raw materials, time for sample preparation, and costly equipment. To help address this inefficiency, this study proposes machine learning-assisted numerical methods to predict compressive strength of fly ash-based geopolymer (FAGP) concrete. Methods assessed included artificial neural network (ANN), deep neural network (DNN), and deep residual network (ResNet), based on experimentally collected data. Performance of the proposed approaches were evaluated using various statistical measures including R-squared (R2), root mean square error (RMSE), and mean absolute percentage error (MAPE). Sensitivity analysis was carried out to identify effects of the following six input variables on the compressive strength of FAGP concrete: sodium hydroxide/sodium silicate ratio, fly ash/aggregate ratio, alkali activator/fly ash ratio, concentration of sodium hydroxide, curing time, and temperature. Fly ash/aggregate ratio was found to significantly affect compressive strength of FAGP concrete. Results obtained indicate that the proposed approaches offer reliable methods for FAGP design and optimisation. Of note was ResNet, which demonstrated the highest R2 and lowest RMSE and MAPE values.


2017 ◽  
Vol 37 ◽  
pp. 116-125 ◽  
Author(s):  
Saeed Salehi ◽  
Mohammad Jamal Khattak ◽  
Hashim Rizvi ◽  
S.F. Karbalaei ◽  
Raj Kiran

2015 ◽  
Vol 362 ◽  
pp. 13-22
Author(s):  
Bohdan Mochnacki ◽  
Ewa Majchrzak

The aim of considerations is the numerical modeling of thermal processes proceeding in the system external heat source - protective clothing - air gap - human skin and next the application of sensitivity analysis methods to study the impact of clothing parameters on the transient temperature field in domain of skin tissue. From the mathematical point of view the problem is described by the system of Fourier and Pennes equations determining the transient temperature field in the successive sub-domains. This system is supplemented by the appropriate boundary and initial conditions. Taking into account the geometrical properties of the domain considered, the 1D solution seems to be sufficiently exact (e.g. chest or back). The sensitivity model is constructed on the basis of the so-called direct approach. The equations creating the mathematical model of the process considered are differentiated with respect to selected parameter. At the stage of numerical modeling the 1st scheme of the boundary element method for parabolic equations has been used.


2017 ◽  
Vol 13 (2) ◽  
Author(s):  
Silvia Juliana Sarmiento Nova ◽  
Maria Cecilia Amorim Teixeira da Silva

RESUMO: O presente trabalho consiste em sistematizar um procedimento para avaliação da confiabilidade estrutural de pontes de concreto protendido, com base no índice de confiabilidade β, e a correspondente probabilidade de falha Pf. O Método de Monte Carlo é utilizado no processo de simulação das variáveis aleatórias, tomadas como sendo as resistências dos materiais, algumas das propriedades geométricas e o carregamento aplicado à estrutura. Como ferramenta para análise estrutural, é utilizado um programa computacional comercial. Os valores obtidos pelo método de simulação são validados através do método analítico FORM, e realiza-se também uma análise de sensibilidade. O procedimento é aplicado a uma ponte de concreto protendido de viga-e-laje. Com base nos resultados alcançados na análise desenvolvida conclui-se que o procedimento sistematizado, o qual utiliza um método de simulação, pode ser utilizado para avaliar a confiabilidade de uma ponte em concreto protendido de uma forma mais prática e efetiva. A análise de sensibilidade permitiu identificar as variáveis que apresentam maior influência na avaliação da segurança da estrutura.ABSTRACT: This paper is proposed to systematize the structural reliability evaluation procedure of prestressed concrete bridges, based on the reliability index β, and the corresponding probability of failure Pf. The Monte Carlo method is used to simulate design variables, taken as the resistances of the materials, some geometrical properties and the loads applied to the structure. As a tool for structural analysis, a commercial computer program is used. The values obtained by simulation method are validated by the analytical method FORM, and a sensitivity analysis is carried out. The procedure is applied to a deck-girder prestressed concrete bridge. Based on the results obtained, it is concluded that the procedure, which is based on a simulation method, can be used to evaluate the reliability of a prestressed concrete bridge in a more practical and effective way. The sensitivity analysis identified the variables with the greatest influence on the assessment of the safety of the structure.


Author(s):  
Blaise Letexier ◽  
Olivier Marc ◽  
Jean-Philippe Praene ◽  
Franck Lucas

The aim of this paper is the optimization of Solar Absorption Cooling (SAC) system’s performances. Over the past decade the electricity consumption has significantly increased in Reunion Island during the summer months, which is mainly due to the use of standard air conditioning systems. SAC systems present a good alternative for reducing this consumption. Solar cooling systems are environmentally friendly as they use water and lithium bromide solution as the working fluid. The purpose of this work is to undertake a sensitivity analysis to identify parameters which have a significant influence on the SAC systems performances. The sensitivity analysis has been carried out on numerical models developed at the PIMENT laboratory and validated using RAFSOL experimental data (experimental plant is set up at the IUT in St-Pierre). The results of the sensitivity analysis are used to establish the design and create the control rules to allow for the optimization and ensure the performance of future SAC systems. Firstly, this paper presents the modelization of the SAC system and the sensitivity analysis method used. Secondly, it displays the results from the sensitivity analysis that has been applied to all main components of the plant separately (solar collector field, solar loop and absorption chiller) and to the entire system. Finally, the results are analyzed and discussed. Two types of influential parameters have been distinguished: variables factors and geometrical properties of the plant. This study highlights that the compactness of the installation, the quality of the solar collector, and the control of the temperature at the output of the distribution loop are essential.


Author(s):  
L. L. Sutter ◽  
G. R. Dewey ◽  
J. F. Sandell

Municipal waste combustion typically involves both energy recovery as well as volume reduction of municipal solid waste prior to landfilling. However, due to environmental concerns, municipal waste combustion (MWC) has not been a widely accepted practice. A primary concern is the leaching behavior of MWC ash when it is stored in a landfill. The ash consists of a finely divided fly ash fraction (10% by volume) and a coarser bottom ash (90% by volume). Typically, MWC fly ash fails tests used to evaluate leaching behavior due to high amounts of soluble lead and cadmium species. The focus of this study was to identify specific lead bearing phases in MWC fly ash. Detailed information regarding lead speciation is necessary to completely understand the leaching behavior of MWC ash.


1997 ◽  
Vol 9 (6) ◽  
pp. 541-565 ◽  
Author(s):  
Cheryl R. Killingsworth ◽  
Francesca Alessandrini ◽  
G. G. Krishna Murthy ◽  
Paul J. Catalano ◽  
Joseph D. Paulauskis ◽  
...  

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