Analysis and comparison of two finite element algorithms for dislocation density based crystal plasticity

Research output: Journal contributionsJournal articlesResearchpeer-review

Authors

The purpose of the current work is the formulation and comparison of two finite element algorithms for a dislocation density based crystal plasticity model. We study multiscale inelastic materials whose behavior is influenced by the evolution of inelastic microstructure and the corresponding material or internal lengthscales. The work is an extension of the first investigation in Klusemann et al. [1] which was limited to a one-dimensional bar. In the γ -algorithm, the displacement u and glide system slips γα are global unknowns and determined via weak field relations. The non-dimensional densities of geometrically necessary dislocations ρ̄α are local quantities and solved for via a strong field relation. In the Q -algorithm, both the displacement uand dislocation densities ρ̄α are modeled as global, and the glide system slips γα as local. As it turns out, both algorithms generally predict the same microstructural behavior on a single crystal level. However, for a polycrystal the two solution strategies predict different material behaviors due to the formulation-dependent representation of the boundary conditions. The introduction of a boundary layer in the model leads to good agreement between both algorithms for single and polycrystal simulations.

Original languageEnglish
JournalGAMM Mitteilungen
Volume36
Issue number2
Pages (from-to)219-238
Number of pages20
ISSN0936-7195
DOIs
Publication statusPublished - 2013
Externally publishedYes

DOI

Recently viewed

Publications

  1. A genetic algorithm for a self-learning parameterization of an aerodynamic part feeding system for high-speed assembly
  2. Binary Random Nets I
  3. Modeling Effective and Ineffective Knowledge Communication and Learning Discourses in CSCL with Hidden Markov Models
  4. Development of a Didactic Graphical Simulation Interface on MATLAB for Systems Control
  5. Modeling and simulation of deformation behavior, orientation gradient development and heterogeneous hardening in thin sheets with coarse texture
  6. Towards a Dynamic Interpretation of Subjective and Objective Values
  7. Proceedings of the SeMantic Answer Type and Relation Prediction Task at ISWC 2021 Semantic Web Challenge (SMART2021)
  8. Analysis of priority rule-based scheduling in dual-resource-constrained shop-floor scenarios
  9. Using haar wavelets for fault detection in technical processes
  10. Adaptive and Dynamic Feedback Loops between Production System and Production Network based on the Asset Administration Shell
  11. A sufficient asymptotic stability condition in generalised model predictive control to avoid input saturation
  12. Evaluation of Time/Phase Parameters in Frequency Measurements for Inertial Navigation Systems
  13. The Scalable Question Answering Over Linked Data (SQA) Challenge 2018
  14. Application of non-convex rate dependent gradient plasticity to the modeling and simulation of inelastic microstructure development and inhomogeneous material behavior
  15. Expertise in research integration and implementation for tackling complex problems
  16. Machine Learning and Knowledge Discovery in Databases
  17. Building a process layer for business applications using the blackboard pattern
  18. Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation
  19. N3 - A collection of datasets for named entity recognition and disambiguation in the NLP interchange format
  20. Comparing the Sensitivity of Social Networks, Web Graphs, and Random Graphs with Respect to Vertex Removal
  21. Optimal trajectory generation using MPC in robotino and its implementation with ROS system
  22. Paraphrasing Method for Controlling a Robotic Arm Using a Large Language Model
  23. Best Practices in AI and Data Science Models Evaluation
  24. Anomaly detection in formed sheet metals using convolutional autoencoders
  25. A Multilevel CFA-MTMM Model for Nested Structurally Different Methods
  26. Anatomy of Haar Wavelet Filter and Its Implementation for Signal Processing
  27. Perfect anti-windup in output tracking scheme with preaction
  28. Semantic Parsing for Knowledge Graph Question Answering with Large Language Models
  29. Reading and Calculating in Word Problem Solving
  30. Selection and Recognition of Statistically Defined Signals in Learning Systems
  31. Linux-based Embedded System for Wavelet Denoising and Monitoring of sEMG Signals using an Axiomatic Seminorm
  32. 'SPREAD THE APP, NOT THE VIRUS’ – AN EXTENSIVE SEM-APPROACH TO UNDERSTAND PANDEMIC TRACING APP USAGE IN GERMANY
  33. Age-related differences in processing visual device and task characteristics when using technical devices
  34. Enhancing Performance of Level System Modeling with Pseudo-Random Signals
  35. Neural Combinatorial Optimization on Heterogeneous Graphs