DEVELOPING A FORECASTING MODEL OF FLOW NUMBER USING MARSHALL PARAMETERS AND INDIRECT TENSILE STRENGTH TEST RESULTS

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DEVANDARI H.; MODARRES A.; ROSTAMI ANKASI M.; HOSSEINI ALI ABAD S.M.

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Journal: JOURNAL OF TRANSPORTATION RESEARCH Year:2015 | Volume:12 | Issue:2 (43) Page(s): 0-0

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Title

DEVELOPING A FORECASTING MODEL OF FLOW NUMBER USING MARSHALL PARAMETERS AND INDIRECT TENSILE STRENGTH TEST RESULTS

Author(s)

DEVANDARI H. | MODARRES A. | ROSTAMI ANKASI M. | HOSSEINI ALI ABAD S.M. | Issue Writer Certificate

Keywords

RUTTINGQ1

FLOW NUMBERQ2

DYNAMIC CREEPQ1

INDIRECT TENSILE STRENGTHQ2

ARTIFICIAL NEURALQ2

Abstract

The rapid growth of traffic, especially heavy vehicles passing by repeated loading, poor quality asphalt mix and not reaching different the required density of asphalt pavement can cause asphalt damage. One of the most important types of flexible pavement failures, is permanent deformation, which are known by the name RUTTING. RUTTING is done by aggregation of Permanent deformation and irreversible through the pavement layers under traffic loading repeated. Through the all different layers involved in RUTTING, permanent deformation in the surface layer of pavement is allocated to the main contribution of RUTTING, thus Provide an appropriate mix design, attention to the potential risk of permanent deformation asphalt mixtures that weakness indication shear resistance in the asphalt is essential to be considered. On the other hand the specified FLOW NUMBER is beginning marker for Shear deformation in asphalt mixtures is known as a marker for evaluation of asphalt mixtures RUTTING. In this study, we have tried to build the asphalt samples with Marshall method, that including range of the aggregates, asphalt, aggregate, filer and bitumen percentage with the development of a relationship between obtained FLOW NUMBER from the DYNAMIC CREEP test, tensile strength from indirect tensile test and the parameters of the Marshall mix design while providency administrative costs, predicted the mixture RUTTING status, without spending extra time. The accuracy of this model was confirmed by the ARTIFICIAL NEURAL network, makes it possible to prevented produce concrete with low shear resistance in the laboratory and before factory manufacture. Thus, considerable savings in future time and costs there would be in mix design.

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APA: Copy

DEVANDARI, H., MODARRES, A., ROSTAMI ANKASI, M., & HOSSEINI ALI ABAD, S.M.. (2015). DEVELOPING A FORECASTING MODEL OF FLOW NUMBER USING MARSHALL PARAMETERS AND INDIRECT TENSILE STRENGTH TEST RESULTS. JOURNAL OF TRANSPORTATION RESEARCH, 12(2 (43)), 0-0. SID. https://sid.ir/paper/83583/en

Vancouver: Copy

DEVANDARI H., MODARRES A., ROSTAMI ANKASI M., HOSSEINI ALI ABAD S.M.. DEVELOPING A FORECASTING MODEL OF FLOW NUMBER USING MARSHALL PARAMETERS AND INDIRECT TENSILE STRENGTH TEST RESULTS. JOURNAL OF TRANSPORTATION RESEARCH[Internet]. 2015;12(2 (43)):0-0. Available from: https://sid.ir/paper/83583/en

IEEE: Copy

H. DEVANDARI, A. MODARRES, M. ROSTAMI ANKASI, and S.M. HOSSEINI ALI ABAD, “DEVELOPING A FORECASTING MODEL OF FLOW NUMBER USING MARSHALL PARAMETERS AND INDIRECT TENSILE STRENGTH TEST RESULTS,” JOURNAL OF TRANSPORTATION RESEARCH, vol. 12, no. 2 (43), pp. 0–0, 2015, [Online]. Available: https://sid.ir/paper/83583/en

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