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系統識別號 U0026-2707201817292100
論文名稱(中文) 發展中運量捷運導電軌力學-經驗磨耗模型之初探
論文名稱(英文) Preliminary Development of the Mechanical-Empirical Based Wearing Model for the Conductor Rail in the Medium Capacity Transit System
校院名稱 成功大學
系所名稱(中) 土木工程學系
系所名稱(英) Department of Civil Engineering
學年度 106
學期 2
出版年 107
研究生(中文) 鐘進安
研究生(英文) Fredrick Wahyu Christianto
學號 N66057091
學位類別 碩士
語文別 英文
論文頁數 61頁
口試委員 指導教授-楊士賢
口試委員-周家蓓
口試委員-郭振銘
口試委員-李文欽
中文關鍵字 導電軌  經驗與理論並用模型  磨耗預測  中運量捷運系統  反覆載重破壞次數 
英文關鍵字 conductor rail  mechanical-empirical model  wear prediction  medium capacity transit system  number of load repetition to failure 
學科別分類
中文摘要 在捷運的導電軌系統中,由於集電靴長時間與導電軌及磨耗片之間摩擦,隨著時間增加將導致其產生磨耗侵蝕。在進行導電軌磨耗成效預測時,一般可分為經驗成效預測模型、力學成效預測模型與力學-經驗成效預測模型三種方式。目前在導電軌系統磨耗成效預測的研究上,並未有基於力學-經驗方式進行之成效預測模型,本研究之目的在發展基能考慮導電軌與磨耗片之受力狀態之力學-經驗磨耗成效預測模型。研究中透過收集相關材料性質如硬度、抗拉強度,列車運轉參數如行駛速度、電流量、集電靴之水平加速度,以及導電軌與磨耗片之季檢測數據。研究中針對導電軌與磨耗片提出各自的力學-經驗成效預測模型,模型參數包括正向力、行車速度、材料硬度與通過導電軌之電流量。研究中將導電軌與磨耗片的成效模型,細分為五個磨耗等級d=1,2,3,4,6的子模型。結果顯示,導電軌成效模型相較於磨耗片成效模型具有較精準之預測性,對於導電軌模型在各磨耗等級下誤差百分比皆小於16%,而磨耗版模型中在磨耗等級1、2時誤差百分比介於0.2~58.4%,磨耗等級3、4、6時則誤差在18%以下。
英文摘要 In the conductor rail system, cyclic loadings by train will make wear on the conductor rail and wear plate over time. Generally, there are three types of the performance model, which are empirical, mechanical, and mechanical-empirical (M-E) model, that mostly use to describe the wear. However, there is no performance model based on the M-E approach for the conductor rail system at present. Therefore, there is an urgent need to develop the M-E based wearing deterioration model which allow to consider the in-service condition of the conductor rail and wear plate. There are three types of data collected to establish M-E based wear model for the conductor rail system in the MCTS. First was the component specifications of the wear plate, conductor, and collector shoe. Second was the data related to the service condition, such as train speed, electric current, and vibration of the collector shoe. Last was the inspection data of the wear plate and conductor rail. There were two proposed M-E based wear model, one for wear plate and the other for conductor rail. The parameters in the model include normal load, speed, hardness, and electric current. The result of the M-E based wear model for wear plate showed that the higher the wear level, the lower the percent error. For conductor rail, the percent errors were irrelevant to wear level and are stable below 16%.
論文目次 ABSTRACT I
DEDICATION II
ACKNOWLEDGMENTS III
TABLE OF CONTENTS IV
LIST OF TABLES VI
LIST OF FIGURES VII
1 CHAPTER ONE INTRODUCTION 1
1.1 Background 1
1.2 Research Objective 2
1.3 Scope of Research 3
2 CHAPTER TWO LITERATURE REVIEW 4
2.1 Wear Models 5
2.1.1 Wear Model in Conductor Rail System 5
2.1.2 Effect of Electric Current to Wear in Railway Electrification System 6
2.2 Mechanical, Empirical, and Mechanical-Empirical Modelling in Railway Engineering 7
2.2.1 Mechanical Model in Railway Engineering 7
2.2.2 Empirical Model in Railway Engineering 8
2.2.3 Mechanical-Empirical (M-E) Model in Railway Engineering 8
3 CHAPTER THREE DATA COLLECTION AND THEORETICAL DERIVATION 10
3.1 Material Specification and Field Collected Data 10
3.1.1 Material Specifications for the Conductor Rail System 10
3.1.2 Interaction between Conductor Rail and Collector Shoe 15
3.1.3 Field Inspection Data 18
3.2 Wearing of the Conductor Rail System 20
3.2.1 Wearing due to Sliding Mechanism (QM) 21
3.2.2 Wear due to Electrical Erosion (QE) 31
3.3 Number of Load Repetition to Wearing Level 31
3.4 Determination of M-E Model Coefficient 35
4 CHAPTER FOUR RESULT AND DISCUSSION 37
4.1 Wear Depth from Field Inspection 37
4.1.1 Nonparametric Statistical Analysis of Wear Depth Inspection 37
4.1.2 Grouping of the Inspection Data 39
4.2 Proposed M-E Wearing Model 47
4.2.1 Calibration of M-E Model Coefficients 47
4.2.2 M-E Model Validation 49
4.2.3 Discussion 56
5 CHAPTER FIVE CONCLUSIONS AND RECOMMENDATION 57
5.1 Conclusions 57
5.2 Recommendation 58
REFERENCES 59

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