800℃ 에서 Alloy 800H의 크리프 균열 성장 속도의 확률론적 평가
- Alternative Title
- Probabilistic Evaluation of Creep Crack Growth Rates for Alloy 800H at 800°C
- Abstract
- A very high temperature reactor (VHTR) is a fourth-generation reactor that uses helium as a coolant and graphite as a moderator. It could generate mass production of hydrogen and high-efficiency electricity using high thermal energy at 950oC without CO2 emissions. Alloy 800H is the primary candidate for use a control rod system (CRS), core supports, a core barrel, a HGD, and a shutdown cooling system (SCS) in VHTR system. Alloy 800H, which is a modification of Alloy 800, was developed for applications in which require additional creep resistance. Alloy 800H is approved for use up to 760oC under ASME Code Section III Subsection NH for nuclear applications. Many studies for its creep behavior were sufficiently done, but the study for the creep crack growth (CCG) behavior was rare and the CCG data were not also available in currently elevated temperature design (ETD) codes; such as, the ASME or RCC-MRx. Therefore, the CCG behavior for Alloy 800H should be fairly evaluated for a design consideration, and also, the CCG data should be provided for design use of Alloy 800H.
In this study, a probability for evaluating the creep crack growth rate (CCGR) of Alloy 800H was investigated through a series of the tension, creep, and CCG tests at 800oC. In the evaluation of the CCGR behavior, the C* fracture parameter was used, and the material constants of B and q used in the CCGR equation, da/dt =B(C*)q were statistically analyzed and compared in terms of three methods: probabilistic distribution method (PDM), a mean value method (MVM), and the commonly used a least square fitting method (LSFM). From the results of the CCGR evaluation, it was found that the LSFM was similar when compared with the PDM and MVM. It was clarified that the B and q constants followed the PDM using a log-normal distribution method, because it has higher value of correlation factor. The PDM using the log-normal distribution was more favorable than the LSFM, because it could assess the CCGR lines from the probabilistic viewpoints. Using the PDM method, a huge number of random values of the B and q were successfully generated by Monte Carlo Simulation (MCS) technique. The CCGR lines from 10% to 90% in the ranges were drawn from the probabilistic viewpoints. Fracture micrograph exhibited the ductile dimple fracture on the micrograph of crack propagation, and crack propagation occurred from the interconnection of the micro voids along grain boundary. It is expected that the results of this study can be utilized for evaluating the CCGR in various heat resistant steels. In addition, it is useful to achieve the ergonomic design because a probability technique in the CCGR assessment.
- Author(s)
- KUSUMA I NYOMAN CHANDRA
- Issued Date
- 2019
- Awarded Date
- 2019. 8
- Type
- Dissertation
- Keyword
- Probabilistic Evaluation Creep Crack Growth Rates Alloy 800H Log-normal Distribution
- Publisher
- 부경대학교
- URI
- https://repository.pknu.ac.kr:8443/handle/2021.oak/23437
http://pknu.dcollection.net/common/orgView/200000223292
- Affiliation
- 부경대학교 대학원
- Department
- 대학원 기계설계공학과
- Advisor
- SeonJinKim
- Table Of Contents
- I. Introduction 1
1.1 Background and Aim 1
1.2 Thesis Outline 2
II. Basic Concepts 4
2.1 Alloy 800H 4
2.2 Creep 5
2.3 Concept of Fracture Mechanics 9
2.3.1 Linear Elastic Fracture Mechanics 9
2.3.2 Elastic Plastic Fracture Mechanics 12
2.3.3 Time-Dependent Fracture Mechanics 15
2.3.4 C* Parameter 16
2.3.5 C* Estimation Based on Experimental Method 18
2.4 Theory of Statistics 18
2.4.1 Random Variables 19
2.4.2 Normal Distribution 21
2.4.3 Lognormal Distribution 22
2.4.4 Weibull Distribution 23
2.4.5 Monte Carlo Simulation 25
III. Experimental Method 27
3.1 Material and Specimen 27
3.2 Experimental Procedures 29
3.2.1 High Temperature Tensile Test 29
3.2.2 Creep Test 29
3.2.3 Creep Crack Growth Test 30
3.3 Calculation Method of C* Based on LLD 33
IV. Results and Discussion 37
4.1 Tension Test Results 37
4.2 Creep Test Results 39
4.3 CCG Behavior 41
4.4 Statistical Analysis 46
4.4.1 Probability Distribution of B and q 49
4.4.2 Reliability Evaluation by Monte-Carlo Simulation 54
4.5 Microstructure Analysis 58
V. Conclusions 60
- Degree
- Master
-
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- 산업대학원 > 기계설계공학과
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