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High-Resolution Experiments of Flow Phenomena in Dead-Ended Branch Lines for the Validation and Advancement of Computational Fluid Dynamics Modeling
High-Resolution Experiments of Flow Phenomena in Dead-Ended Branch Lines for the Validatio...
High-Resolution Experiments of Flow Phenomena in Dead-Ended Branch Lines for the Validation and Advancement of Computational Fluid Dynamics Modeling

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자료유형  
 학위논문 서양
최종처리일시  
20250211152101
ISBN  
9798382739748
DDC  
539.76
저자명  
Downing, John R.
서명/저자  
High-Resolution Experiments of Flow Phenomena in Dead-Ended Branch Lines for the Validation and Advancement of Computational Fluid Dynamics Modeling
발행사항  
[Sl] : University of Michigan, 2024
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2024
형태사항  
136 p
주기사항  
Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
주기사항  
Advisor: Manera, Annalisa;Petrov, Victor.
학위논문주기  
Thesis (Ph.D.)--University of Michigan, 2024.
초록/해제  
요약Thermal fatigue (TF) is one of the major degradation mechanisms that can lead to material failures affecting the safety relevant components of a nuclear power plant (NPP), such as the emergency core coolant system (ECCS) branch lines of the primary coolant circuit. Regarding ECCS piping, previous TF management programs and predictive computational models have proven insufficient. On the one hand, they appear to be overly conservative, leading to an unnecessarily large number of pipes screened for TF related issues, and on the other they do not capture all relevant physics. Correlations used to calculate the location of TF onset appear to be too case specific to be applied across diverse scenarios and configurations, while more advanced tools like computational fluid dynamics (CFD) models lack data for rigorous validation. The previous body of experimental results was too coarse to meaningfully enhance the results of computational methods for predicting the location of TF onset in branch line piping across various geometries and NPP conditions. In the present dissertation, novel, high-resolution, high-fidelity quantitative measurements of flow fields in isolated branch lines are presented. The aim of building a robust database of such data is to aid in overcoming the deficiencies of past experiments, yielding a greater understanding of the associated flow phenomena and validating predictive CFD models. The present data were acquired utilizing four experimental facilities designed and constructed to systematically investigate the flow phenomena responsible for turbulence-induced TF in isolated branch lines, including scaling effects. High-resolution measurements were obtained from the experimental facilities utilizing advanced measurement techniques such as particle image velocimetry. These measurements have clarified and solidified understanding of the flow phenomena present in dead-ended branch lines that are responsible for thermal fatigue. Comparing the results between multiple facilities has demonstrated that the complexity and demands of the measurement apparatus used to study the penetration of flow swirls in branch lines can be reduced significantly from what has previously been employed - i.e., a comparable penetrating flow swirl in a dead-ended branch line can be driven by a stirring paddle instead of a main line flow crossing the branch line opening. Quantitative measurements of the flow fields in the branch lines have aided the conclusion that Low-Re k-ε CFD models are sufficient for penetration depth predictive modeling, a stance that has been adopted by members of the NPP industry. Portions of the data presented are also being utilized in an international benchmark study in an effort to validate CFD models for penetrating flows in dead-ended branch lines.
일반주제명  
Nuclear engineering
일반주제명  
Engineering
일반주제명  
Fluid mechanics
키워드  
Branch line
키워드  
Thermal fatigue
키워드  
Computational fluid dynamics
키워드  
Nuclear power plant
기타저자  
University of Michigan Nuclear Engineering & Radiological Sciences
기본자료저록  
Dissertations Abstracts International. 85-12B.
전자적 위치 및 접속  
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■035    ▼a(MiAaPQ)umichrackham005398
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■0820  ▼a539.76
■1001  ▼aDowning,  John  R.
■24510▼aHigh-Resolution  Experiments  of  Flow  Phenomena  in  Dead-Ended  Branch  Lines  for  the  Validation  and  Advancement  of  Computational  Fluid  Dynamics  Modeling
■260    ▼a[Sl]▼bUniversity  of  Michigan▼c2024
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2024
■300    ▼a136  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  85-12,  Section:  B.
■500    ▼aAdvisor:  Manera,  Annalisa;Petrov,  Victor.
■5021  ▼aThesis  (Ph.D.)--University  of  Michigan,  2024.
■520    ▼aThermal  fatigue  (TF)  is  one  of  the  major  degradation  mechanisms  that  can  lead  to  material  failures  affecting  the  safety  relevant  components  of  a  nuclear  power  plant  (NPP),  such  as  the  emergency  core  coolant  system  (ECCS)  branch  lines  of  the  primary  coolant  circuit.  Regarding  ECCS  piping,  previous  TF  management  programs  and  predictive  computational  models  have  proven  insufficient.  On  the  one  hand,  they  appear  to  be  overly  conservative,  leading  to  an  unnecessarily  large  number  of  pipes  screened  for  TF  related  issues,  and  on  the  other  they  do  not  capture  all  relevant  physics.  Correlations  used  to  calculate  the  location  of  TF  onset  appear  to  be  too  case  specific  to  be  applied  across  diverse  scenarios  and  configurations,  while  more  advanced  tools  like  computational  fluid  dynamics  (CFD)  models  lack  data  for  rigorous  validation.  The  previous  body  of  experimental  results  was  too  coarse  to  meaningfully  enhance  the  results  of  computational  methods  for  predicting  the  location  of  TF  onset  in  branch  line  piping  across  various  geometries  and  NPP  conditions.  In  the  present  dissertation,  novel,  high-resolution,  high-fidelity  quantitative  measurements  of  flow  fields  in  isolated  branch  lines  are  presented.  The  aim  of  building  a  robust  database  of  such  data  is  to  aid  in  overcoming  the  deficiencies  of  past  experiments,  yielding  a  greater  understanding  of  the  associated  flow  phenomena  and  validating  predictive  CFD  models.  The  present  data  were  acquired  utilizing  four  experimental  facilities  designed  and  constructed  to  systematically  investigate  the  flow  phenomena  responsible  for  turbulence-induced  TF  in  isolated  branch  lines,  including  scaling  effects.  High-resolution  measurements  were  obtained  from  the  experimental  facilities  utilizing  advanced  measurement  techniques  such  as  particle  image  velocimetry.  These  measurements  have  clarified  and  solidified  understanding  of  the  flow  phenomena  present  in  dead-ended  branch  lines  that  are  responsible  for  thermal  fatigue.  Comparing  the  results  between  multiple  facilities  has  demonstrated  that  the  complexity  and  demands  of  the  measurement  apparatus  used  to  study  the  penetration  of  flow  swirls  in  branch  lines  can  be  reduced  significantly  from  what  has  previously  been  employed  -  i.e.,  a  comparable  penetrating  flow  swirl  in  a  dead-ended  branch  line  can  be  driven  by  a  stirring  paddle  instead  of  a  main  line  flow  crossing  the  branch  line  opening.  Quantitative  measurements  of  the  flow  fields  in  the  branch  lines  have  aided  the  conclusion  that  Low-Re  k-ε  CFD  models  are  sufficient  for  penetration  depth  predictive  modeling,  a  stance  that  has  been  adopted  by  members  of  the  NPP  industry.  Portions  of  the  data  presented  are  also  being  utilized  in  an  international  benchmark  study  in  an  effort  to  validate  CFD  models  for  penetrating  flows  in  dead-ended  branch  lines.
■590    ▼aSchool  code:  0127.
■650  4▼aNuclear  engineering
■650  4▼aEngineering
■650  4▼aFluid  mechanics
■653    ▼aBranch  line
■653    ▼aThermal  fatigue
■653    ▼aComputational  fluid  dynamics
■653    ▼aNuclear  power  plant
■690    ▼a0552
■690    ▼a0537
■690    ▼a0204
■71020▼aUniversity  of  Michigan▼bNuclear  Engineering  &  Radiological  Sciences.
■7730  ▼tDissertations  Abstracts  International▼g85-12B.
■790    ▼a0127
■791    ▼aPh.D.
■792    ▼a2024
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17162837▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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