History of Hot Mix Asphalt Mixture Design in the United States

Roberts, F L; Mohammad, Louay N.; Wang, L. B.

doi:10.1061/(asce)0899-1561(2002)14:4(279)

Cited by 124 publications

(60 citation statements)

References 20 publications

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“…Since this time, Marshall design has been adopted by organisations and government departments in nearly all of the countries worldwide with very minute modifications either to the procedure or to the interpretations of the results. The very basic efforts and the later developments that were carried out in order to standardise this very well known testing procedure and further knowledge can be found in the relevant literature 67 . Aggregate selection basically depends on the gradation specifications of the proposed country and available materials in the nearby quarries.…”

Section: General Overview About Marshall Designmentioning

confidence: 99%

“…The theory behind the stability, flow and Marshall Quotient values obtained from Marshall testing have been investigated by many scientists up to date in many respects 67 . As this study is dealing with preparing an asphalt mixture which has an aggregate gradation of a type 2 wearing course 60 , at this point, some more "technical" information about the actual meaning of stability and flow should be given.…”

Section: General Overview About Marshall Designmentioning

confidence: 99%

“…The very basic fundamentals for carrying out Marshall design were developed by Bruce Marshall, who was a pavement engineer working for the Mississippi State Highway Department, in the time spanning the period just before the onset of the Second World War in attempt to standardise a testing procedure that would encompass the available laboratory equipment in order to evaluate the bitumen content of asphalt concrete mixtures 66,67 . In 1948, The U.S.…”

Section: General Overview About Marshall Designmentioning

confidence: 99%

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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: General Overview About Marshall Designmentioning

confidence: 99%

Section: General Overview About Marshall Designmentioning

confidence: 99%

Section: General Overview About Marshall Designmentioning

confidence: 99%

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

2012

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“…However, where sections of an area are moderately or severely spalled, multiple interconnected cracks are forming a complete pattern, pieces are missing or move when subjected to traffic or cracks may be sealed and pumping may be evident across the entire pavement roadway are described as high severity fatigue cracking [1], [15]- [17]. This type of failure cannot be treated with crack sealing and/or filling.…”

Section: A Fatigue Crackingmentioning

confidence: 99%

Distress Identification, Cost Analysis and Pavement Temperature Prediction for the Long-Term Pavement Performance for Western Australia

Nega¹,

Nikraz²,

Herath³

et al. 2015

IJET

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Abstract-Collection and analysis of pavement distress data is a significant component for effective long-term pavement performance. Accurate, consistent, and repeatable pavement distress type's evaluation can reduce a tremendous amount of time and money that has been spending each year on maintenance and rehabilitation of existing pavement distress. The main objective of this study is to identify and quantify of surface distress in a given segment of pavement, to perform details distress rating, to predict pavement temperature and cost analysis of individual pavement distress on heavily urban roads in Western Australia (WA). Field survey were conducted from three regions in WA and two approached were used to evaluate and analysis the pavement distress. First, the probabilistic network Marov-Chain Process method was used to predict the cost analysis for individual asphalt concrete surfaced pavement distress. Second, Statistical Downscaling Model (SDSM) was used to predict pavement temperature for asphalt concrete surface pavement. Meteorological data were collected from Perth, Kalgoorlie, and Albany region in WA, and data were used to develop and validation of the model. Different types of pavement distress level were identified and color photograph illustrated the asphalt concrete surfaced pavement. Results were performed and analysis. Results from this study will be useful resource to Main Roads Western Australia, Western Australia State Highways (WASH), and other pavement related users including to the National Highway System (NHS). In addition, results can be used for pavement management systems (PMSs) purpose.

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“…In the study by Roberts et al, a review of the past, present, and future trends in asphalt mixture design are presented 53 . The very beneficial effects for the realistic simulation of the compaction on site in the laboratory environment by Superpave gyratory compactors is known and once more can be seen in the studies by various researchers that have been published in the last 13 years [54][55][56][57][58][59][60][61][62][63][64] .…”

Section: Utilisation Of Superpave Gyratory Compactors In the Preparatmentioning

confidence: 99%

Rutting analysis of 100 mm diameter polypropylene modified asphalt specimens using gyratory and Marshall compactors

Tapkın

Keskín

2013

Mat. Res.

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Compaction technique used in Marshall design does not model the process of actual rolling procedures on site exactly. Carrying out laboratory compaction of dense bituminous mixtures with Superpave gyratory compactors is a more realistic way of simulating actual compaction. In this study, mechanical differences of reference and polypropylene modified asphalt mixtures were compared using Superpave gyratory and Marshall compaction methods by carrying out repeated creep tests utilising universal testing machine. In addition, there is no standard Superpave design procedure for 100 mm diameter samples till date. The other purpose of this study is to propose new standards for the compaction and testing procedures of these 100 mm specimens. Indeed, extensive studies have shown that the design gyration number should be 40 for reference and 33 for polypropylene modified specimens under medium traffic conditions for the similar and specific type of aggregate sources, bitumen, aggregate gradation, mix proportioning, modification technique and laboratory conditions. Moreover, it was shown that, the asphalt samples produced by Superpave gyratory compactor were much resistant to destructive rutting effects than the asphalt specimens prepared by Marshall design.

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History of Hot Mix Asphalt Mixture Design in the United States

Cited by 124 publications

References 20 publications

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

Distress Identification, Cost Analysis and Pavement Temperature Prediction for the Long-Term Pavement Performance for Western Australia

Rutting analysis of 100 mm diameter polypropylene modified asphalt specimens using gyratory and Marshall compactors

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