scholarly journals The Effect of Aggregate-Forming Minerals on Thermodynamic Parameters Using Surface Free Energy Concept and Its Relationship with the Moisture Susceptibility of Asphalt Mixtures

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Gholam Hossein Hamedi ◽  
Mohammad Reza Esmaeeli ◽  
Vahid Najafi Moghaddam Gilani ◽  
Seyed Mohsen Hosseinian
Keyword(s):  
Free Energy ◽  
Surface Free Energy ◽  
Regression Coefficient ◽  
Negative Impact ◽  
Positive Impact ◽  
Linear Regression Analysis ◽  
Asphalt Mixtures ◽  
Rate Of Change ◽  
Moisture Susceptibility ◽  
Adhesion Properties

Moisture damage is known to be a key factor influencing the durability of asphalt pavements. This phenomenon will reduce the mechanical properties of asphalt mixtures due to its destructive effects on the adhesion of the bitumen-aggregate system and the cohesion of the bitumen membrane. The mineral properties of the aggregates of asphalt mixtures are one of the factors affecting moisture susceptibility. Therefore, the surface free energy (SFE) method, as one of the thermodynamic methods, and indirect tensile strength test (ITST) have been used to determine the failure mechanism and the rate of change of adhesion properties of asphalt mixtures under the influence of mineralogical characteristics. Prior to the above tests, an X-ray fluorescence spectrometry (XRF) test was performed to identify aggregate-forming minerals in eight different types of aggregates with various minerals from eight mines, and also the apparent bitumen film thickness was measured. XRF test results showed that most parts of the aggregates in mines 1– 6 were composed of SiO2, which had strong acidic properties, according to the SFE results. ITST results showed that samples constructed with aggregates of mine 7 and 8 (with high CaO mineral content) experienced a higher TSR than other mixtures in all freeze-thaw (F-T) cycles. Results of the SFE method showed that aggregates with more calcareous properties had a smaller acidic component and a larger basic component. In mines 7 and 8, where the nonpolar component of their aggregates was larger, the tendency of the aggregates to adherence and wettability by water decreased. The adhesion free energy (AFE) between bitumen and aggregates with higher CaO and less SiO2 amounts was more than AFE between bitumen and aggregates with lower CaO and higher SiO2 amounts, in dry conditions. The presence of higher amounts of CaO in aggregates increased AFE of bitumen-aggregate in presence of water from a negative value to zero. In linear regression analysis, due to the positive regression coefficient of the CaO mineral, this mineral had a positive impact on TSR; on the other hand, due to the negative regression coefficient of the SiO2 mineral, this mineral had a negative impact on the TSR of asphalt mixtures.

scholarly journals THE INFLATION AND POVERTY IN INDONESIA: CONSEQUENCE OF USURY?

2019 ◽  
Vol 17 (2) ◽  
pp. 91
Author(s):  
Azwar Iskandar ◽  
Bayu Taufiq Possumah ◽  
Khaerul Aqbar
Keyword(s):  
Interest Rates ◽  
Negative Impact ◽  
Positive Impact ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Positive Influence ◽  
Interest Rate Policy ◽  
Depth Index ◽  
The People

This research was conducted to analyze the influence and correlation of interest rates as one form of the implementation of usury practices on inflation and poverty in Indonesia. This study uses secondary data from the publication of the Central Statistics Agency (BPS) and Bank Indonesia for the period 2005-2018. This study uses Simple Linear Regression Analysis Techniques and Pearson Correlation Techniques. The results showed that interest rates as one form of the implementation of usury practices had an effect and had a positive and significant correlation to inflation in Indonesia. The practice of ribawi actually will bring a negative impact on the economy of the people in Indonesia in the form of an increase in the level of inflation in society. Measures of monetary policy intervention in maintaining price stability and inflation in society have not shown a positive impact. Also, the results of the study showed that interest rate policy also had a positive influence and correlation on the increase in the poverty depth index. That is, when interest rates are set to rise, the poverty depth index in the community also tends to go up or get worse. The findings of this study reinforce the legitimacy of the word of Allah Subhanahu Wa Ta'ala in the Qur'an and the Hadith related to the prohibition of usury practices that can lead to injustice, wrongdoing, and economic destruction of the people.

Effects of an Amine Anti-Stripping Agent on Moisture Susceptibility of Sasobit and Aspha-Min Mixes by Surface Free Energy Analysis

2012 ◽  
Vol 40 (1) ◽  
pp. 103618 ◽  
Author(s):  
M. R. Mitchell ◽  
R. E. Link ◽  
Aravinda Buddhala ◽  
Zahid Hossain ◽  
Nazimuddin M. Wasiuddin ◽  
...  
Keyword(s):  
Free Energy ◽  
Surface Free Energy ◽  
Energy Analysis ◽  
Moisture Susceptibility ◽  
Free Energy Analysis

scholarly journals Mejora eficiente para la estimación de la energía libre superficial del ligante asfáltico mediante herramientas de Machine Learning

2021 ◽  
Vol 20 (3) ◽  
Author(s):  
David Sierra-Porta
Keyword(s):  
Machine Learning ◽  
Free Energy ◽  
Surface Free Energy ◽  
Absolute Error ◽  
Asphalt Mixtures ◽  
Asphalt Binders ◽  
Recovery Processes ◽  
Strong Adhesion ◽  
The Mean ◽  
Prediction Techniques

The Surface Free Energy (SFE) of a material is defined as the energy needed to create a new surface unit under vacuum conditions. This property is directly related to the resistance to fracture and recovery of material and the ability to create strong adhesion with other materials. This value can be used as a complementary parameter for the selection and optimal combination of materials for asphalt mixtures, as well as in the micromechanical modelingof fracture and recovery processes of said mixtures. This document describes the results of the implementation of the use of machine learning and Random Forest prediction techniques for the estimation of surface free energy based on data from previous studies. The experimental samples were twenty-three asphalt binders used in a Strategic Highway Research Program (SHRP). A decrease of 54% and 82% in the mean absolute error (MAE) and the mean square error (MSE), respectively was found for the new model built. While the model fits better with a 12% improvement, according to the adjusted determination coefficient, the accuracy and the score of the model also increases notably in 2% and 55%, respectively.

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