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論文中文名稱:脊背橋施工階段分析與最佳化 [以論文名稱查詢館藏系統]
論文英文名稱:Construction Stage Analysis and Model Optimization of Extra-Dosed Bridge [以論文名稱查詢館藏系統]
院校名稱:臺北科技大學
學院名稱:工程學院
系所名稱:土木工程系土木與防災碩士班
畢業學年度:105
畢業學期:第二學期
出版年度:106
中文姓名:穆大邦
英文姓名:Daban Hussein M-Salih
研究生學號:104428087
學位類別:碩士
語文別:英文
口試日期:2017/07/05
論文頁數:102
指導教授中文名:宋裕祺
指導教授英文名:Yu Chi Sung
口試委員中文名:陳松堂;長國鎮
中文關鍵詞:施工階段分析MIDAS/Civil最佳化GA
英文關鍵詞:Construction StageExtra-Dosed bridgeMIDAS/CivilOptimizationGA
論文中文摘要:The aim of this study concerns with the analysis of Extra-Dosed bridges at different erection stages during construction using the cantilever method, for this purpose a real case example provided in detailed for Wang Gong bridge with a total length of 230 meters includes the main span of 90 m, and two side span of 70 m each. a pre-cast deck sections with post tensioning, and width of 25.8 m. A finite element model is established, then forward analysis process is performed by following the sequence of erection stages in bridge construction. Time dependent material properties such as creep and shrinkage, pre-stressed tendons, and boundary condition including temporary elastic boundary are considered. During the construction, discrepancies may occur between the actual state and the state of design expectation, for this reason optimization of the finite element model is introduced with the use of response surface method to predicted values of the response features at various sample points in the parameter space by performing an experiment at each of those points. Finally, with the help of genetic programming an optimized solution was found, thus establishing a more accurate finite element model that can represent the characteristics of the actual bridge.
論文英文摘要:The aim of this study concerns with the analysis of Extra-Dosed bridges at different erection stages during construction using the cantilever method, for this purpose a real case example provided in detailed for Wang Gong bridge with a total length of 230 meters includes the main span of 90 m, and two side span of 70 m each. a pre-cast deck sections with post tensioning, and width of 25.8 m. A finite element model is established, then forward analysis process is performed by following the sequence of erection stages in bridge construction. Time dependent material properties such as creep and shrinkage, pre-stressed tendons, and boundary condition including temporary elastic boundary are considered. During the construction, discrepancies may occur between the actual state and the state of design expectation, for this reason optimization of the finite element model is introduced with the use of response surface method to predicted values of the response features at various sample points in the parameter space by performing an experiment at each of those points. Finally, with the help of genetic programming an optimized solution was found, thus establishing a more accurate finite element model that can represent the characteristics of the actual bridge.
論文目次:Content

摘 要 ii
ABSTRACT iii
Acknowledge v
Content vi
LIST OF FIGURES ix
LIST OF TABLES xi
Chapter 1 Introduction 1
1.1 Research Motivation and Purpose 1
1.2 Research Methods and Content 1
1.3 Research Structure 2
Chapter 2 Extra-Dosed Bridge 5
2.1 Characteristics 5
2.2 Components 6
2.2.1 Deck and Mast 7
2.2.2 Side Span Length 7
2.3 Structural Behavior 7
Chapter 3 Finite Element Analysis 9
3.1 Overview 9
3.2 Application 10
3.2.1 Pre-processing 10
3.2.2 The Analysis 11
3.2.3 Post-processing 11
3.3 Limitation 12
3.4 Structural Analysis 13
Chapter 4 Construction Stage Analysis 15
4.1 Erection Procedure 15
4.1.1 Construction on temporary support 15
4.1.2 Construction by rotation 17
4.1.3 Construction by incremental launching 17
4.1.4 Construction by cantilever method 18
4.2 Construction of Pylon 19
4.3 Erection of main girder using cantilever method
19
4.3.1 Cast-in-place concrete deck 20
4.3.2 Precast segment 20
Chapter 5 Genetic Algorithm (GA) 21
5.1 Basic Process of Genetic Algorithm 21
5.1.1 Initialization 21
5.1.2 Evaluation 22
5.1.3 Selection 22
5.1.4 Crossover 22
5.1.5 Mutation 22
5.1.6 Repeat 22
5.2 Some Explanation on GA 23
5.2.1 Binary system 23
5.2.2 Fitness 23
5.2.3 Selection 27
5.2.4 Crossover 28
5.2.5 Mutation 31
5.3 Limitation and Constraint of GA 33
5.4 Principle of Parameter Design of Genetic Algorithm 36
5.5 Genetic Algorithm Analysis and verification 37
Chapter 6 Response Surface Method (RSM) 42
6.1 Design of Experiment (DOE) 42
6.1.1 Full Factorial Design 43
6.1.2 Central Composite Design 43
6.1.3 Box-Behnken Design 44
6.2 Response Surface Function Type Selection 46
6.3 Response Surface Inspection 47
6.4 Parameter Significance Screening 49
Chapter 7 Case Study 52
7.1 Finite Element Modeling 52
7.1.1 The Geometry of the Bridge 54
7.1.2 Element Types 54
7.2 Details of the Model 54
7.2.1 Time Dependent Effect 55
7.2.2 Forward Construction Stage Analysis in MIDAS
62
7.2.3 Tendon 65
7.2.4 Boundary Condition 69
7.2.5 Load Case 69
7.3 Analysis and Result 70
7.3.1 Model Updating Procedure 70
7.3.2 Establishment of Response Surface Function (RSM) 72
7.3.3 Dynamic Analysis 85
Chapter 8 Conclusion and Future Work 93
Conclusion 93
Contribution 93
Future Work 94
REFRENCE 95
Appendix A 98
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