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LS-DYNA Conference Training Classes

Introduction to Isogeometric Analysis

Instructor: Dr. Stefan Hartmann

Prerequisites

  • Equivalent knowledge to an introductory class in LS-DYNA® is recommended.

Syllabus

This class provides an introduction to Isogeometric Analysis (IGA) with Non-Uniform Rational B-Splines (NURBS) in LS-DYNA. As a part of this class you will learn how to switch from low-order finite elements to IGA. Some theoretical background about IGA and NURBS will be presented before exploring the current capabilities in LS-DYNA. Setting up a suitable model from some CAD-file using LS-PrePost® will also be covered. The class will deal with both shell and solid elements with an emphasis on shell elements.

Content

  1. Introduction and motivation
  2. Theoretical background
  3. NURBS surfaces
  4. NURBS-based shell formulations
  5. Application of boundary conditions
  6. Joining of patches
  7. Model setup
  8. Post-processing
  9. Examples
  10. NURBS-based solids in LS-DYNA
  11. Bezier-Extraction interface
  12. Discussion and outlook

Introduction to LS-TaSC™

Instructor:  Imtiaz Gandikota

Prerequisites

  • Equivalent knowledge to an introductory class in LS-DYNA® is recommended.

Syllabus

This class introduces you to the topology optimization and shape computation code, LS-TaSC, for design. It covers both the theoretical concepts and practical aspects of topology optimization. The course includes workshop sessions in which the theoretical topics are applied. The LS-TaSC graphical user interface is used to teach input preparation and post-processing.

Content

  1. Introduction to topology optimization
  2. Optimization theory
  3. Global constrain optimization using multipoint strategy
  4. Optimization using multiple design parts and load cases
  5. Optimization using manufacturing constraints
  6. Post-processing results
  7. Multidisciplinary optimization
  8. Shape optimization (free surface design)

Material Characterization: Test Data to Material Model

Instructor:  Suri Bala

Prerequisites

  • Six months to two years of experience using LS-DYNA®

Syllabus

This class provides an overview of the different classes of materials, reviews various tests needed for each material class, and walks through the steps needed to transform the test data into LS-DYNA material cards followed by verification methods. The primary material classes covered in this class include metals, elastomers, polymers, foams, and honeycomb cellular structure.

Content

  1. Introduction – explicit and implicit
  2. Material classifications
  3. Test procedures
  4. Characterization procedures
  5. Verification methods
  6. Parameter identification using LS-OPT
  7. Conclusions

Modeling Explosives with LS-DYNA®

Instructors: Paul Du Bois Dr. Len Schwer

Prerequisites

  • Familiarity with running LS-DYNA

Syllabus

This class focuses on the application of LS-DYNA to modeling explosives. In this class, you will learn how to model the expansion of detonation gases and how they work on their surroundings.

Content

  1. Introduction to explosives and JWL EOS
  2. Validation of numerical models for explosives
  3. Deflagration-to-detonation transition
  4. Afterburning
  5. TNT equivalence
  6. Driven detonations
  7. Propellants (if time permits)

Resistive Heating, Resistance Spot Welding, & Battery Modeling Applications

Instructor: Iñaki Çaldichoury

Prerequisites

  • You should be familiar with running LS-DYNA® and the LS-DYNA keyword structure.

Syllabus

This class provides a detailed overview of the resistive heating solver's capabilities with a special focus on resistance spot welding and battery applications.

Content

  1. Resistive heating solver
  2. Resistance Spot Welding (RSW)
  3. Battery module

RVE & Micromechanical Analysis

Instructor: Zeliang Liu, Ph.D.

Prerequisites

  • You should be familiar with LS-DYNA® and material modeling.

Syllabus

This class introduces several numerical methods for RVE and micromechanical analysis using LS-DYNA. This class includes various examples of multiscale materials, such as rubber composites, polycrystals, and carbon-fiber reinforced polymer composites. The class also has a section on overviewing emerging machine learning methods in material modeling. You should leave this class with a well-rounded understanding of how to use data generated from an RVE analysis in large-scale simulations.

Content

Part 1:

  1. Introduction
  2. Representative volume element (RVE) theory
  3. Overview of direct numerical simulation for RVE analysis
  4. Loads & boundary conditions
  5. LS-DYNA's RVE package for multiscale material modeling
  6. RVE with interfacial failure (debonding)
  7. Examples

Part 2:

  1. Overview of machine learning methods in material modeling
  2. Challenges and motivations
  3. Introduction to deep material network
  4. Data generation using LS-DYNA's RVE packages
  5. Applications
  6. Summary & future work

Theory & Application of SPH & SPG Methods

Instructors: Jingxiao Xu, Ph.D., Youcai Wu, Ph.D.

Syllabus

This course overviews the fundamental theoretical background of the Smoothed Particle Hydrodynamics (SPH) formulation. It also covers the available formulations, implementations, and latest developments of the SPH method coupled with the Lagrangian formulation in LS-DYNA® and teaches you how to use these SPH options. Detailed descriptions of the data required to run LS-DYNA analyses are given. Examples are used to illustrate the concepts covered. To address some numerical issues of SPH in low-speed material failure analysis of solids and structures, a novel particle method Smoothed Particle Galerkin (SPG) is introduced with theoretical background, features, keywords and applications.

Content

  1. Introduction of SPH
  2. SPH discretization
  3. SPH thermal formulations
  4. SPH tension instability
  5. General features and applications of SPH (solids and fluids)
  6. Interactions
  7. Pre- and post-processing using LS-PrePost®
  8. Detailed example of SPH
  9. Introduction of SPG
  10. SPG applications

Verification & Validation of LS-DYNA® Simulations

Instructor:  Professor Ala Tabiei

Syllabus

This class aims to teach methods and procedures for validating and verifying simulation results. To ensure an error-free finalized design, analysts must verify the accuracy of the FEA solver as well as validate the results against experimental tests and other outputs. This class is intended for all LS-DYNA analysts and any other FE simulation engineers. Even though the presentation is geared towards using LS-DYNA, the methods and discussion are applicable to any other FE software.

Content

  1. Introduction
  2. Definitions of verification & validation
  3. Differences between verification & validation
  4. Variability in simulation results
  5. Introduction to MPP
  6. Experimental data and lack of it
  7. Simulation results on different machines
  8. Experimental outputs for verification & validation
  9. Verification & validation
  10. Quantitative versus qualitative validation
  11. Validation metrics
  12. Mesh convergence criterion & verification
  13. Useful outputs
  14. Validation in the frequency domain

Advanced Contacts in LS-DYNA®

Instructors:  Lee Bindeman, Leslie Lum, Zhidong Han

Prerequisites

  • Familiarity with the contact features in LS-DYNA

Syllabus

This class overviews the latest developments of SMP & MPP contact in LS-DYNA. It specifically outlines the algorithms for the node-segment and segment contacts. It also covers contact modeling, debugging, and fine tuning techniques.

Content

  1. Introduction of contact modeling in LS-DYNA
  2. Segment contact in LS-DYNA
  3. Groupable contact in LS-DYNA
  4. Requests and discussion of user issues

Advanced Numerical Methods for Material & Structural Failure Analysis

Instructors:  C.T. Wu, Ph.D., Bo Ren, Ph.D.

Prerequisites

  • Equivalent knowledge to an introductory class on LS-DYNA® 

Syllabus

This course introduces material and structural failure analysis through advanced numerical methods rather than through material constitutive laws and the element/material deletion technique. Conservation laws are satisfied such that reliable force responses and physical deformation modes can be obtained.

We will introduce four methods during the class, namely: Smoothed Particle Galerkin (SPG), Peridynamics, XFEM, and Immersed FEM/SPG. Each of these methods has its own advantages and particular applications in various industries, such as automotive, aerospace and defense.  We will overview and discuss the LS-DYNA keywords associated with each method. The class also includes numerous industrial applications for illustration purpose. We will also off an in-class workshop in which we will help you interpret the validity of numerical results.

Content

  1. SPG method
  2. Peridynamics
  3. XFEM
  4. Immersed FEM/SPG

Comprehensive LS-DYNA® ALE & Structured-ALE Applications Seminar

Instructor:  Ian Do, Ph.D. 

Syllabus

This course aims to assist you with effectively performing fluid-structure interaction simulations using the ALE/FSI module in LS-DYNA. It is intended for analysts with a solid mechanics background. In this class, a clear framework of the method and easy procedure to follow will be presented which will help you learn the required keywords and parameters. The course is meant to be comprehensive covering both concepts and applications. During this seminar, ALE concepts take about half a day. The rest of the time is spent constructing pseudo ALE and S-ALE models. During this portion, we will define the physics of the problem. Then, you will construct a detaild pseudo-input file for the model (on paper). Then we will go over the modeling details together. We hope that this class helps you get your own models going.

Content

ALE Concepts (~1/2 day)

  1. What is ALE?
  2. Advection
  3. Complexity of multi-material ALE -Interface reconstruction
  4. FSI

Examples of ALE Applications (1 day)

  1. Soda can drop
  2. Tank sloshing and impact
  3. Extrusion
  4. Bird strike fan blade assembly model
  5. Projectile-target penetration modeling
  6. Simple flow in flexible tube
  7. Hydrostatic pressure initialization
  8. Wave impacting floating “ship” (simple model)
  9. Cylinder (rocket booster) impacting water model
  10. Tanker floating and moving through water

S-ALE Modeling Concepts & Example Applications (~1/2 day)

  1. Differences between the original ALE solver and the S-ALE solver
    1. Advantages of structured meshes
  2. Examples illustrating the S-ALE approach
    1. Rod penetration
    2. Explosion under a plate
    3. Mine blast
    4. Tank sloshing
    5. Floating boat

Compressible Flows & Gaseous Explosions with FSI Applications

Instructor:  Kyoungsu Im, Ph.D.

Syllabus

This class overviews the CESE and chemistry solvers in LS-DYNA®. The CESE solver is a compressible flow solver that uses the Conservation Element/Solution Element Method. It can be used alone or coupled to the chemistry solver. The class also specifically focuses on how these solvers can be used with the structures solvers to solve fluid-structure interaction (FSI) problems. Exercises illustrate how to use these solvers.  

The class consists of two parts. In the first part we will discuss compressible flows with applications that include cavitation, FSI, and FSI with multi-body dynamics problems. The second part covers the basic concepts of chemical kinetics with applications, such as closed adiabatic spatially homogeneous premixed reactors, detonating flows, and the deformation and failures of structures in a nuclear containment by H2 explosions. Each exercise consists of the problem description, modeling methods, step by step keyword construction, running the program, and post-processing. 

Content

Part 1: Compressible Flows and FSIs

  1. Introduction to CESE compressible solver
  2. Examples:
  3. FSI solvers
  4. Examples:
    1. Moving wedge confronting shock waves
    2. Rigid & flexible pendulums interacting with a fluid
  5. Application models
    1. Cavitation flow
    2. Multiphase flows
    3. Conjugate heat transfer
  6. New dual mesh CESE solver
    1. Comparison of the standard CESE solver to the new dual CESE solver

Part 2: Chemically Reactive Flow and FSI

  1. Introduction to CHEMISTRY solver
  2. Basic concepts of the chemical kinetics
  3. Closed adiabatic spatially homogeneous premixed reactors
  4. Detonating flows and reinitiation
  5. Deformation and failures of structures by gaseous explosions
  6. Battery simulations

Failure, Fracture, & Damage

Instructor: Professor Ala (Al) Tabiei

Prerequisites

  • Equivalent knowledge to an introductory class in LS-DYNA® is recommended.

Syllabus

This course teaches you how to model fracture, damage, and failure in LS-DYNA. The different methodologies to model failure and fracture in LS-DYNA will be presented and discussed. All formulations in LS-DYNA, including Lagrangian, Eulerian, SPH, XFEM, EFG, and DEM, will be discussed. This course includes several examples, designed to illustrate and reinforce the concepts presented.

Content

  1. Introduction & historical review
  2. Fundamental theoretical concepts
  3. Element erosion: advantages & shortcomings
  4. Current LS-DYNA capabilities to model failure and damage
  5. Current LS-DYNA capabilities to model fracture
  6. Fracture & computational methods
  7. Fracture verification examples
  8. Post-processing fracture problems
  9. MAT_ADD_EROSION & the GISSMO model
  10. Material models with failure
  11. Modeling delamination and debonding in LS-DYNA
  12. Summary and concluding remarks

Introduction to LS-OPT®

Instructor:  Imtiaz Gandikota

Prerequisites

  • An introductory class in LS-DYNA® is recommended but not necessary.

Syllabus

This course provides an introduction to the use of the optimization code LS-OPT for design. It covers both theoretical concepts and practical aspects of design optimization. An emphasis is placed on interfacing LS-OPT with LS-DYNA. The course includes workshop sessions in which the covered theoretical topics are applied. The LS-OPT graphical user interface is used to teach input preparation and post-processing.

Content

  1. Introduction to design optimization using industrial examples
  2. LS-OPT features
  3. Optimization theory
    1. Optimization fundamentals
  4. Setting up and running a sequential optimization
  5. Discrete optimization
  6. Optimization with user defined stage/solver
  7. Importing analysis results table
  8. Direct optimization
  9. Parameter identification using curve matching
  10. Multidisciplinary Optimization(MDO)
  11. Mode tracking
  12. Variable screening and MDO with reduced variables
  13. Multi-Objective Optimization (MOO) theory
  14. Setting up and running MOO example - construct Pareto Front
  15. Post-processing MOO problems

Material & Failure Modeling of Metals

Instructor:  Paul Du Bois

Prerequisites

  1. You should be familiar with running LS-DYNA®.

Syllabus

This class aims to convey the current state-of-the-art in creating predictive models of metallic materials for crashworthiness applications.

Content

  1. Review of material modeling & elasto-plasticity
  2. Preparing accurate *MAT_024 data for the QS and rate-dependent cases
  3. Review of failure modeling from Johnson-Cook to GISSMO
  4. Preparing accurate GISSMO data, plastic instability, localization, non-proportional loadpaths, regularization techniques, and damage concepts
  5. Mapping of manufacturing data
  6. Handling variability

NVH, Fatigue, & Frequency Domain Analysis

Instructor: Yun Huang, Ph.D.

Prerequisites

  • You should be familiar with LS-DYNA® and LS-PrePost®.

Syllabus

This course introduces the frequency domain vibration and acoustic features as well as the time and frequency domain features of LS-DYNA. It gives a detailed look at the application of these features to vehicle NVH simulation and durability analysis.

Content

  1. Introduction
  2. Frequency Response Function (FRF)
  3. Steady State Dynamics (SSD)
  4. Random vibration with Power Spectral Density (PSD) loading
  5. Acoustics
  6. Response spectrum analysis
  7. Fatigue
  8. Advanced topics
  9. Auto NVH examples
  10. Workshop

Stamping Simulation in LS-DYNA®

Instructors: Xinhai Zhu, Jin Wu, Jinglin Zheng

Prerequisites

  • Familiarity with stamping processes
  • Basic understanding of the LS-DYNA keyword format

Syllabus

This class introduces how to perform stamping simulations in LS-DYNA. We will discuss how to improve prediction accuracy for springback and formability. LS-FORM, our dedicated GUI for stamping applications, will also be introduced. The class will also overview thermal-mechanical coupling in hot forming simulations.

Content

  1. Introduction of stamping applications in LS-DYNA
  2. Springback prediction versus formability analysis
  3. Material models selection
  4. Some typical applications
  5. LS-FORM
  6. Thermal-mechanical coupling for hot forming analysis