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Computational Modeling of Dislocation Microstructure Patterns at Small Strains Using Continuum Dislocation Dynamics- [electronic resource]
Computational Modeling of Dislocation Microstructure Patterns at Small Strains Using Conti...
Computational Modeling of Dislocation Microstructure Patterns at Small Strains Using Continuum Dislocation Dynamics- [electronic resource]

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자료유형  
 학위논문파일 국외
최종처리일시  
20240214101908
ISBN  
9798380720397
DDC  
600
저자명  
Vivekanandan, Vignesh.
서명/저자  
Computational Modeling of Dislocation Microstructure Patterns at Small Strains Using Continuum Dislocation Dynamics - [electronic resource]
발행사항  
[S.l.]: : Purdue University., 2023
발행사항  
Ann Arbor : : ProQuest Dissertations & Theses,, 2023
형태사항  
1 online resource(132 p.)
주기사항  
Source: Dissertations Abstracts International, Volume: 85-05, Section: B.
주기사항  
Advisor: El-Azab, Anter.
학위논문주기  
Thesis (Ph.D.)--Purdue University, 2023.
사용제한주기  
This item must not be sold to any third party vendors.
초록/해제  
요약Self-organized dislocation structures in deforming metals have a strong influence on the mechanical response of metals. However, accurate prediction of these patterns remains a challenge due to the complex dynamic and multiscale nature of the underlying process. This dissertation focuses on the development of a theoretical framework for continuum dislocation dynamics (CDD) models to predict dislocation microstructure formation at small strains, along with corresponding numerical simulation results. CDD models have the capability to incorporate plasticity physics spanning different time and length scales while capturing the dislocation motion explicitly within reasonable computational time. A typical model consists of two components: crystal mechanics, formulated as an eigenstrain problem, and dislocation dynamics, treated as a transport-reaction problem. In the first part of the thesis, a novel framework is introduced to solve the dislocation transport by decoupling the system of transport-reaction equations and enforcing the dislocation continuity constraint on individual slip systems. The results obtained from this framework demonstrate high accuracy and computational efficiency, significantly enhancing the predictive capabilities of the model. Building upon the framework, a statistical analysis of stress fluctuations in discrete dislocation dynamics (DDD) simulations is conducted to understand the relationship between coarse-grained average stress and local stress states. This analysis is motivated by the need to accurately capture dislocation reactions, such as cross-slip, which strongly depend on the local stress state, using the coarse-grained approach in CDD. The results revealed that the difference between the local and the coarse-grained states can be characterized using a Cauchy distribution. Consequently, a novel strategy is proposed to incorporate these statistical characteristics into the CDD model, yielding cross-slip rate predictions that align well with DDD results. In the final part of the study, the developed framework is applied to investigate the dislocation pattern formation during the early stages of cyclic loading. The simulation results successfully capture the formation of dislocation vein like structure and provide insights regarding the formation of labyrinth structure observed in experiments during cyclic loading at saturated state.
일반주제명  
Metals.
일반주제명  
Stress state.
일반주제명  
Partial differential equations.
일반주제명  
Strain hardening.
일반주제명  
Crack initiation.
일반주제명  
Stress-strain curves.
일반주제명  
Energy.
일반주제명  
Microstructure.
일반주제명  
Deformation.
일반주제명  
Crystals.
일반주제명  
Mechanics.
일반주제명  
Probability distribution.
일반주제명  
Shear stress.
일반주제명  
Statistics.
기타저자  
Purdue University.
기본자료저록  
Dissertations Abstracts International. 85-05B.
기본자료저록  
Dissertation Abstract International
전자적 위치 및 접속  
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MARC

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■00520240214101908
■006m          o    d                
■007cr#unu||||||||
■020    ▼a9798380720397
■035    ▼a(MiAaPQ)AAI30685501
■035    ▼a(MiAaPQ)Purdue23737092
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a600
■1001  ▼aVivekanandan,  Vignesh.
■24510▼aComputational  Modeling  of  Dislocation  Microstructure  Patterns  at  Small  Strains  Using  Continuum  Dislocation  Dynamics▼h[electronic  resource]
■260    ▼a[S.l.]:▼bPurdue  University.  ▼c2023
■260  1▼aAnn  Arbor  :▼bProQuest  Dissertations  &  Theses,  ▼c2023
■300    ▼a1  online  resource(132  p.)
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  85-05,  Section:  B.
■500    ▼aAdvisor:  El-Azab,  Anter.
■5021  ▼aThesis  (Ph.D.)--Purdue  University,  2023.
■506    ▼aThis  item  must  not  be  sold  to  any  third  party  vendors.
■520    ▼aSelf-organized  dislocation  structures  in  deforming  metals  have  a  strong  influence  on  the  mechanical  response  of  metals.  However,  accurate  prediction  of  these  patterns  remains  a  challenge  due  to  the  complex  dynamic  and  multiscale  nature  of  the  underlying  process.  This  dissertation  focuses  on  the  development  of  a  theoretical  framework  for  continuum  dislocation  dynamics  (CDD)  models  to  predict  dislocation  microstructure  formation  at  small  strains,  along  with  corresponding  numerical  simulation  results.  CDD  models  have  the  capability  to  incorporate  plasticity  physics  spanning  different  time  and  length  scales  while  capturing  the  dislocation  motion  explicitly  within  reasonable  computational  time.  A  typical  model  consists  of  two  components:  crystal  mechanics,  formulated  as  an  eigenstrain  problem,  and  dislocation  dynamics,  treated  as  a  transport-reaction  problem.  In  the  first  part  of  the  thesis,  a  novel  framework  is  introduced  to  solve  the  dislocation  transport  by  decoupling  the  system  of  transport-reaction  equations  and  enforcing  the  dislocation  continuity  constraint  on  individual  slip  systems.  The  results  obtained  from  this  framework  demonstrate  high  accuracy  and  computational  efficiency,  significantly  enhancing  the  predictive  capabilities  of  the  model.  Building  upon  the  framework,  a  statistical  analysis  of  stress  fluctuations  in  discrete  dislocation  dynamics  (DDD)  simulations  is  conducted  to  understand  the  relationship  between  coarse-grained  average  stress  and  local  stress  states.  This  analysis  is  motivated  by  the  need  to  accurately  capture  dislocation  reactions,  such  as  cross-slip,  which  strongly  depend  on  the  local  stress  state,  using  the  coarse-grained  approach  in  CDD.  The  results  revealed  that  the  difference  between  the  local  and  the  coarse-grained  states  can  be  characterized  using  a  Cauchy  distribution.  Consequently,  a  novel  strategy  is  proposed  to  incorporate  these  statistical  characteristics  into  the  CDD  model,  yielding  cross-slip  rate  predictions  that  align  well  with  DDD  results.  In  the  final  part  of  the  study,  the  developed  framework  is  applied  to  investigate  the  dislocation  pattern  formation  during  the  early  stages  of  cyclic  loading.  The  simulation  results  successfully  capture  the  formation  of  dislocation  vein  like  structure  and  provide  insights  regarding  the  formation  of  labyrinth  structure  observed  in  experiments  during  cyclic  loading  at  saturated  state.
■590    ▼aSchool  code:  0183.
■650  4▼aMetals.
■650  4▼aStress  state.
■650  4▼aPartial  differential  equations.
■650  4▼aStrain  hardening.
■650  4▼aCrack  initiation.
■650  4▼aStress-strain  curves.
■650  4▼aEnergy.
■650  4▼aMicrostructure.
■650  4▼aDeformation.
■650  4▼aCrystals.
■650  4▼aMechanics.
■650  4▼aProbability  distribution.
■650  4▼aShear  stress.
■650  4▼aStatistics.
■690    ▼a0791
■690    ▼a0346
■690    ▼a0463
■71020▼aPurdue  University.
■7730  ▼tDissertations  Abstracts  International▼g85-05B.
■773    ▼tDissertation  Abstract  International
■790    ▼a0183
■791    ▼aPh.D.
■792    ▼a2023
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16935236▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.
■980    ▼a202402▼f2024

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