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研究生: 阮明日
Nguyen, Minh-Nhut
論文名稱: 漢堡輪跡試驗數據分析方法與成效指標之關連性探討
INVESTIGATION OF DIFFERENT DATA ANALYSIS METHODS AND PERFORMANCE PARAMETERS OF HAMBURG WHEEL TRACKING TEST
指導教授: 楊士賢
Yang, Shih-Hsien
學位類別: 碩士
Master
系所名稱: 工學院 - 土木工程學系
Department of Civil Engineering
論文出版年: 2020
畢業學年度: 108
語文別: 英文
論文頁數: 74
外文關鍵詞: Hamburg performance index, Rutting Resistance, Moisture Resistance, Shape factor, Rutting performance parameters.
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  • Rutting and moisture damage is the most common distresses type appear in the pavement in Taiwan; therefore, agencies have adopted performance tests such as Hamburg wheel tracking test (HWTT) to specify and screen the asphalt concrete performance. The standard test method of HWTT specified in AASHTO suggests four performance parameters of max rut depth (RD), number pass at max rut depth (N), creep slop (CS), strip slope (SS), and stripping inflection point (SIP). Many studies have shown that these parameters can be used to characterize and rank the performance of asphalt mixes. However, some of these performance parameters are determined subjectively by operator or engineer such as creep slop, strip slope, and stripping inflection point. Determination of these parameters in many cases relies on operator/ engineer judgment to interpret the test data that may result in ambiguous value, which prevents many agencies from adopting those parameters in their specification. Thus, in the past few years, new analysis methods and performance parameters were proposed by various researchers in an attempt to provide a more systematic approach to analyze the test results of HWTT. Wen et al. using a single rutting resistance index (RRI) to quantify the rutting resistance of the HWTT specimen. Yi et al. based on the viscoplastic model to fit the HWTT experimental data and derive parameters such as the number of load cycles at which stripping occurs (LCSN) and stripping life (LCST) from the fitted model. Also, Al-Khateeb et al. proposed a rutting model developed with a third-order model that can describe the three different phases of HMA and derive stripping inflection point (Nx, Ny). On the other hand, Walubita et al. suggested new parameters such as the rutting area (ΔA), the normalized rutting area (RutΔ), and the shape factor (SF) that can characterize HWTT rutting response and path-history. It seems that the analysis methods have different strengths; however, it is not clear whether the analysis method or the performance parameters exist certain limitations while applied to various HWTT results. Thus, the objective of this study is to investigate the feasibility of different HWTT analysis methods and the correlation among the performance parameters. Eight asphalt mixes commonly used in Taiwan were used to perform HWTT. The dense grade asphalt mixes use three types of asphalt (AC10, AC20, and polymer-modified type III) and three types of aggregate (RAP, steel slag, crushed river gravel). There is a total of 61 HWTT results were obtained that were analyzed by five different data analysis approaches to calculating performance parameters discussed in the standard and studies. The result of this study showed that the current analysis methods and parameters exist certain limitations in analyzing HWTT results. Therefore, a novel performance parameter, namely Hamburg performance index (HPI), was introduced, which incorporates the number of passes, max. Rut depth, and rut path history into one single parameter. It was found that the HPI can resolve the limitation encountered by other analysis approaches and greatly improve the accuracy of predicting a mix’s rutting and moisture resistance.

    ABSTRACT I DEDICATION III ACKNOWLEDGMENTS IV TABLE OF CONTENTS V LIST OF TABLES VII LIST OF FIGURES VIII 1 CHAPTER ONE INTRODUCTION 1 1.1 Background 1 1.2 Research Objective and Scope 3 1.2.1 Research Objective 3 1.2.2 Research Scope 3 1.3 Thesis Scope Organization 3 2 CHAPTER TWO LITERATURE REVIEW 5 2.1 Rutting Performance Tests 5 2.2 The rutting specification 10 2.3 Analysis method 13 3 CHAPTER THREE MATERIAL AND METHODS 15 3.1 Materials 15 3.1.1 DGAC.RAP Mixture Characterization 17 3.1.2 AC10.DGAC.NA Mixture Characterization 18 3.1.3 AC20.DGAC.SS Mixture Characterization 19 3.1.4 PM3.DGAC.NA Mixture Characterization 20 3.1.5 Sample preparation 21 3.2 Methodology 22 3.2.1 RRI method 23 3.2.2 AASHTO T324 method 24 3.2.3 Viscoplastic Model Method and Polynomial Model method 26 3.2.4 Shape factor method 33 4 CHAPTER FOUR RESULT AND DISCUSSION 37 4.1 RRI method 37 4.2 AASHTO method 39 4.3 Viscoplastic Model Method and Polynomial Model Method 41 4.3.1 Viscoplastic Model Method 41 4.3.2 Polynomial method 44 4.4 Shape Factor Method 46 4.5 Integrated HWTT Performance Parameter 50 4.5.1 Modified Shape Factor Parameter 50 4.5.2 Hamburg Performance Index 52 5 CHAPTER FIVE CONCLUSION AND SUGGESTION 58 5.1 Conclusion 58 5.2 Recommendation 59 6 REFERENCE 60 7 APPENDIX 64

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