大地材料熱傳導係數量測與預測模式

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姓名

朱正安(Chen-an Chu) 查詢紙本館藏

畢業系所

土木工程學系

論文名稱

大地材料熱傳導係數量測與預測模式
(Measurement and Modeling for Thermal Conductivity of Geomaterials)

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摘要(中)

本研究基於熱探針量測法建立一適用於可壓實大地材料之連續性熱探針量測法。本法將熱探針直接埋入於試體中，於壓實過程中在不同之壓實程度時進行量測。除可避免因試體及熱探棒間存在淨空熱阻造成量測結果之誤差外，亦可在單一試體相同重量含水量時獲得不同黏土乾密度下之熱傳導係數。利用本方法，可針對以黏土及砂或碎石混合所製成使用於高放射性廢料處置之緩衝卅回填材料進行熱傳導係數量測。
由於黏土及砂或碎石混合物可視為多相複合材料，本研究利用微觀力學模式之概念將黏土部份視為基質材料，砂或碎石視為加強材料。針對基質材料部份，本研究利用McInnes模式之概念配合黏土之物理性質建立基質預測模式後，以微觀力學模式計算不同基質與顆粒加強材體積混合比下之熱傳導係數，並以試驗及文獻數據進行驗證。

摘要(英)

In this thesis, continuous embedded line-source measurement for thermal conductivity is introduced with the development progress while various kind of affecting factors evaluated. This method is suitable for compactable geomaterials like buffer materials for nuclear waste disposal concept. With the precision and methodology of the method, a series of designed test on soils with different moisture content and mixture batch are executed to develop a model for prediction. The model is constructed with a refined empirical model for the matrix and the micromechanical model for the global mixture.

關鍵字(中)

★ 微觀力學模式
★ 膨潤土
★ 放射性廢料處置
★ 熱探針法
★ 熱傳導係數

關鍵字(英)

★ thermal conductivity measurement
★ buffer/backfill material
★ micromechanical model
★ empirical model
★ geomaterials

論文目次

Table of Contents
摘要 i
Abstract iii
List of figures ix
List of Tables xviii
1 Introduction 1
1.1 Background 1
1.2 Scope and Purpose 3
2 Literature review 5
2.1 Thermal Conductivity of Soils 5
2.1.1 Heat transfer modes 5
2.1.2 Soil Thermal Conductivity 5
2.2 Nuclear Waste Disposal Concept 11
2.2.1 The Nuclear Waste 12
2.2.2 The Deep Geological Disposal Concept 16
2.2.3 Buffer/Backfill Materials 20
2.2.4 Buffer/backfill Materials Manufacturing 24
2.3 Thermal Conductivity Measurement 29
2.3.1 Steady-State Methods 30
2.3.2 Transient-state methods 33
2.3.3 Comparison between Steady State and Transient State Methods 40
2.4 Prediction Models 41
2.4.1 Empirical Models 42
2.4.2 Semi-empirical models 45
2.4.3 Micromechanical Models 46
3 Thermal Conductivity Measurement Improvements 51
3.1 Factors that Affect Thermal-Probe Method 51
3.1.1 Clearance 52
3.1.2 Specimen Size Effect 61
3.1.3 Thermal Grease (Paste) 64
3.1.4 Input Power 68
3.2 Embedded Thermal Probe Method 71
3.2.1 Compaction Mold 72
3.2.2 Thermal Probe Method 75
3.2.3 Procedures 78
3.2.4 Benefit of Embedded Thermal Probe Method 80
3.3 Multi-stage Thermal Probe Method 81
3.3.1 Improvements 81
3.3.2 Procedure 83
4 Modeling for Thermal Conductivity of Geomaterials 89
4.1 Prediction Model Development 89
4.1.1 Evaluation of Parameters of McInnes’ Model 90
4.1.2 Parameters for McInnes’ Model 94
4.1.3 Determination of Parameters 99
4.1.4 Proposed Matrix model 106
4.1.5 Incorporated with Micromechanics Models 110
4.2 Validation for Proposed Model 112
4.2.1 Börgesson (1994) 113
4.2.2 Ould-Lahoucine (2002) 114
4.2.3 JNC (1999) 122
4.3 Validation Experiment for Proposed Model 123
4.3.1 Experimental Program 123
4.3.2 Materials 124
4.3.3 Sand (Crushed Granite) 127
4.3.4 Implementation of the Proposed Overall Model 128
5 Conclusion 132
References 135

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指導教授

田永銘(Yong-ming Tien)

審核日期

2009-8-31

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