Comparison of Asphalt Mixtures Designed Using the Marshall and Improved GTM Methods
| Autor: | Zhang Jiantong, Wu Chuanhai, Yin Ying-mei, xu zhancheng, Sun Xiaolong, Jianbing Lv |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Alternative methods
Materials science Article Subject Road construction Rut 0211 other engineering and technologies General Engineering Stability (learning theory) 020101 civil engineering 02 engineering and technology Plan (drawing) 0201 civil engineering Reliability engineering Asphalt 021105 building & construction lcsh:TA401-492 General Materials Science lcsh:Materials of engineering and construction. Mechanics of materials Heavy traffic Design methods |
| Zdroj: | Advances in Materials Science and Engineering, Vol 2018 (2018) |
| ISSN: | 1687-8442 1687-8434 |
| Popis: | The Marshall method is today considered the standard method of asphalt mixture design for practical engineering applications. By using this method, engineering designers reap the benefits of its easy implementation and inexpensive equipment requirements. However, the Marshall method also has shortcomings and limitations, such as the difficulty in simulating the actual working conditions of a road under heavy load. Therefore, it is desirable to develop alternative methods for designing asphalt mixtures that can simulate the actual conditions under which the road will be used and so enable technically superior road construction. The emergence of the gyratory testing machine (GTM) method represents a new direction in asphalt mixture design that could plan more effectively for heavy loads in a hot and humid environment. In this paper, the two design methods are compared on the basis of the oil-stone ratio, high-temperature stability, water stability, and rutting resistance of the mixes they recommend. We put forward an improved GTM method suitable for the high temperatures and heavy traffic in Guangdong Province. This work provides a foundation for the large-scale popularization and application of the GTM method. |
| Databáze: | OpenAIRE |
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