Effect of antistripping additives on environmental damage of bituminous mixtures

Abo-Qudais, Saad; Al-Shweily, Haider

doi:10.1016/j.buildenv.2005.05.017

Cited by 26 publications

(8 citation statements)

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“…These specimens were tested at 60 °C with a constant stress of 100 kPa for 3600 seconds and unloaded for the recovery of deformations for 5400 seconds. Also in some studies, in the last five years that was utilising the "standard" procedure depicted in Zurich 16 , the testing temperature had been chosen as 30 °C which was again a departure from this technique [40][41][42] .…”

Section: Static Creep Testing Of Dense Bituminous Mixtures Spanning Imentioning

confidence: 99%

Utilising neural networks and closed form solutions to determine static creep behaviour and optimal polypropylene amount in bituminous mixtures

2012

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The testing procedure in order to determine the precise mechanical testing results in Marshall design is very time consuming. Also, the physical properties of the asphalt samples are obtained by further calculations. Therefore if the researchers can obtain the stability and flow values of a standard mixture with the help of mechanical testing, the rest of the calculations will just be mathematical manipulations. Determination of mechanical testing parameters such as strain accumulation, creep stiffness, stability, flow and Marshall Quotient of dense bituminous mixtures by utilising artificial neural networks is important in the sense that, cumbersome testing procedures can be avoided with the help of the closed form solutions provided in this study. Marshall specimens, prepared by utilising polypropylene fibers, were tested by universal testing machine carrying out static creep tests to investigate the rutting potential of these mixtures. On the very well trained data basis, artificial neural network analyses were carried out to propose five separate models for mechanical testing properties. The explicit formulation of these five main mechanical testing properties by closed form solutions are presented for further use for researches.

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Section: Static Creep Testing Of Dense Bituminous Mixtures Spanning Imentioning

confidence: 99%

Utilising neural networks and closed form solutions to determine static creep behaviour and optimal polypropylene amount in bituminous mixtures

2012

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“…The findings of this study indicated that conditioning of HMA specimens has a significant effect on the increase of creep deformation. This is especially true for open graded aggregate gradation mix (Abo-Qudais and Al-Shweily, 2007b).…”

Section: Literature Reviewmentioning

confidence: 99%

Effect of Superpave Short-Term Aging on Binder and Asphalt Mixture Rheology

Ramadan

Abo-Qudais

2017

Period. Polytech. Transp. Eng.

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“…Las causas que generan el fenómeno de daño por humedad son complejas, ya que involucran aspectos físicos, químicos, mecánicos y termodinámicos [25][26][27]. Mencionan adicionalmente que este fenómeno es función de la tensión superficial entre el agregado pétreo y el asfalto, y que el empleo de ligantes más viscosos genera mayor resistencia al daño por humedad.…”

Section: T-316 and Penetration -Astm D-5) Chemical (Sara -Astm D-412unclassified

Efecto del agua sobre el asfalto y su posible influencia en el daño por humedad en una mezcla asfáltica porosa

Quintana

Ruge

Anselmi

2016

Ingeniare. Rev. chil. ing.

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Effect of antistripping additives on environmental damage of bituminous mixtures

Cited by 26 publications

References 1 publication

Utilising neural networks and closed form solutions to determine static creep behaviour and optimal polypropylene amount in bituminous mixtures

Utilising neural networks and closed form solutions to determine static creep behaviour and optimal polypropylene amount in bituminous mixtures

Effect of Superpave Short-Term Aging on Binder and Asphalt Mixture Rheology

Efecto del agua sobre el asfalto y su posible influencia en el daño por humedad en una mezcla asfáltica porosa

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