14th European LS-DYNA Conference 2023

Development of Far-Side Sled Simulation Model with Airbag for Virtual Testing 
H. Sugaya (Honda Motor)

Uncertainty Sources in WorldSID-50M Dummy
S. Kronwitter (Porsche)

Simulation of woven composite structures considering manufacturing effects
M. Vinot (DLR)

A user-defined Folgar-Tucker-based fiber orientation material model for compression molding of fiber/polymer-compounds
D. Schommer (Leibniz-Institut für Verbundwerkstoffe)

NHTSA Test Data Analytics - Lessons learned and Data Insights
S. Bala (d3VIEW)

Virtual testing developments of the LS-DYNA World-SID dummy model
A. Schif (DYNAmore)

Meshless Methods in Workbench LS-DYNA
Y. Novozhilov (Cadfem)

Developments in *MAT_WINFRITH_CONCRETE
and Application to Modelling of Segmented
Concrete Tunnel Linings
R. Sturt, A. G. Montalbini (Arup)

Using ISPG technique for Simulating Solder Reflow and TIM Compression in IC Packages
D. Vilyatser (Ansys)

Recent combined developments in LS-DYNA and Ansysform
J. He (Forming Simulation Technologies), X. Zhu (ANSYS)

The influence of pretension on reinforced concrete beams subjected to fuel tanker explosions
J. Smith, J. Bache, J. Klimenko, B. Smith (Arup)

Headrest Optimization Use Case: Integrating LS-DYNA and Machine Learning on Rescale Cloud HPC

In the dynamic landscape of high-performance computing (HPC) and simulation-driven engineering, the synergy between advanced software and cloud-based platforms is transforming the way we approach complex problems. Our proposed workshop encapsulates a unique blend of cutting-edge technologies and practical applications, making it a must-attend session for conference participants.

Key Highlights:

• Unveiling the Power of LS-DYNA using Rescale Cloud HPC:
• Explore the latest advancements in LS-DYNA, a renowned finite element analysis (FEA) software, optimised for high-performance computing.
• Witness the seamless integration of LS-DYNA with the Rescale Cloud HPC platform, unlocking unparalleled scalability and flexibility for simulation tasks.
• Learn how cloud-based solutions enhance accessibility, reduce infrastructure costs, and enable on-demand resource provisioning, revolutionising the simulation workflow.
• Machine Learning for Headrest Optimization:
• Delve into the realm of machine learning applied to engineering simulations, with a focus on headrest optimisation as a real-world use case.
• Understand how machine learning algorithms can augment traditional simulation methodologies, leading to accelerated design iterations and improved product performance.

Universal Data Space for Vehicle Development: Managing and Orchestrating Workflows via Policy-driven Data Transfer in Global Enterprises
C. Woll, N. Riske, N. Mitaplli (GNS Systems)

Investigation of Mechanical Behaviour of Lithium-ion Battery under Loading and Suggestion of Simplified Modelling Approach
A. Takahashi, S. Amano, K. Saito (JSOL), Y. Aoki (Toray Research Center)

Simulation of back-injection molded parts using MAT_058 and MAT_215
O. Hartmann, S.K. Sardiwal, B. Cordero Porras (ARRK Engineering)

Thermal Runaway in Electric Vehicle Crash Simulation using LS-DYNA
P. L'Eplattenier, I. Caldichoury, K. Kong, V. Challa, D. Bhalsod, S. Adya, M. Howard (Ansys)

Reduced Order Model for enhanced EVAR Planning and navigation guidance 
E. Kardampiki (SINTEF Digital), M. Emendi (University of Rome), K. H. Støverud (SINTEF Digital), P. di Giovanni (HSL), S. K. Dah l(SINTEF Digital), A. Bel-Brunon (INSA), V. Prot (NTNU), M. E. Biancolini (University of Rome)

Multiphysics simulation of electromagnetically-controlled shape morphing composite
P. Bartkowski, Łukasz Pawliszak (Warsaw Univeristy of Technology)

Importance of Plasticity for GISSMO Calibration in Automotive Safety Applications
R. Burrows (NIO Performance Engineering)

Experience with Crash Simulations using an IGA Body in White
F. Bauer, T. Yugeng (BMW AG), L. Leidinger, S. Hartmann (DYNAmore)

Simulation of Sheet Metal Forming – New Developments
M. Fleischer, C. Babel, M. Guru, J. Strauß-Ehrl (BMW Group)

Incremental Forming Simulation of Dimples for Solar Mirror Supports using Isogeometric Analysis Evans, J. Pottas (Timestep), F. Knieps, B. Liebscher (thyssenkrupp Rasselstein), L. Leidinger (DYNAmore), A. Nair (Ansys), J. Holmes, J. Coventry (The Australian National University)

A Numerical Investigation of the Ballistic Performance of the Ceramic Composite Armor against EFP Threats
M. E. Akca, M. B. Ünal (Nurol Teknoloj)

Streamlining the Automotive CAE Workflow with Oasys Software

In this workshop, we will explore how the Oasys LS-DYNA Environment software can help users streamline their entire Automotive CAE workflow. We will discuss the software’s capabilities for setting up crash tests, including the Crash Test Setup tool, which is designed to work with different test regulations and allows for customizing crash tests and running in batch mode. We will also cover how to use the integrated Automotive Assessments Workflow and post-processing tool REPORTER for quick and efficient results analysis and reporting.

The workshop will cover the following topics:

Overview of the Oasys LS-DYNA Environment software and its capabilities for setting up crash tests, with examples of common automotive crash tests regulations such as Euro NCAP and IIHS

Best practice for using the Crash Test Setup tool, including customizing crash tests and running in batch mode

Methods for quick and efficient occupant injury and structural assessments using the Automotive Assessments Workflow

How to use REPORTER for time-saving automated reporting, including the use of templates for different safety protocols

If time allows, we will also cover other tools in the Oasys software that make the simulation workflow smooth and easy.

This workshop is suitable for engineers and designers with a basic knowledge of CAE simulation. By attending this workshop, you will gain a deeper understanding of how to use Oasys software to streamline your entire automotive CAE workflow, including crash test setup and post-processing. We look forward to seeing you there!

Certification-by-analysis

As the digital twin is more and more established in every day engineering design work and the respective predictiveness of models in impact and crashworthiness simulation has gained previously unimaginable quality, questions often arise about the further need of a physical twin. The most obvious one is probably how these high fidelity models can be used for homologation of products which in turn directly leads to the need of certification of product models, anthropometric test devices or even human models. The whole subject is a pressing question not only in the automotive industry but touches interests in transportation  in general as well (aerospace, rail). The same holds for commodity products like mobile phone, tools etc. in drop test simulations and will lead to new software technical requirements.

This session will be started by impulse lectures on the legal requirements and technological aspects in automotive and in occupant safety but will broaden to further initiatives n national and EU level (e.g. impact simulation of aerospace structures). An open discussion with experts from TÜV, BAST, TUGraz, Mercedes-Benz, BMW and DYNAmore will conclude the session.

Recent Development of Incompressible Smoothed Particle Galerkin (ISPG) method and Its Applications in Manufacturing Process Simulations
X. Pan, J. Xu, T.-H. Su, C. T. Wu (Ansys)

Study on Analytical Verification Method for Dynamic Load PROFILE-based Joint Design
J. H. Kim (Hyundai Motor Company), S. D. Kim, K. T. Lee (KOSTECH)

An enhanced discrete sphere bond model based on continuum mechanics
M. Mujtaba Atif, J. Wang (Ansys)

A new apporach for the modeling of point-shaped multisheet connections in LS-DYNA
M. Hübner, T. Graf (DYNAmore), M. Feucht (Mercedes-Benz)

Efficient processing method for material card definition of AHSS and UHSS to predict fracture in crash analysis and its application to vehicle crash model
K. H. Lee, D. Y. Kim (Hyundai Steel), C. W. Jun, K. Lee (Korea Simulation Technologies) 

A decoupled multiphysics approach for computationally efficient continuous induction welding simulation of CFRTPs
T. Hoffmann, M. Duhovic, P. Mitschang (Leibniz-Institut für Verbundwerkstoffe)

Updates on Workflow based Material Calibration for Metals, ThermoPlastics, Elastomers and Joining in d3VIEW with AI  
S. Bala (d3VIEW)

Thermal Boundary Conditions for Simulation of a new forming process for Titanium (TISTRAQ)
M. Merten (DYNAmore)

Numerical simulation of shock events and associated response of satellite
T. Legaud, N. Van Dorsselaer , V. Lapoujade (DynaS+), S. Lemay (Cnes)

On machine-learning-based methods for predicting the manufacturability and the properties of deep-drawn components and assemblies
I. Lepenies (SCALE)

Healthcare Applications in LS-DYNA

Driven by personalized healthcare there is a rising interest in utilizing LS-DYNA to solve challenging healthcare applications. This is mainly due to the inherent multiphysics capabilities of LS-DYNA, which will enable users to combine the isolated approaches of today to more complex simulations in the future.

In this session we address the simulation of structural heart diseases as well as potential treatments. This will include details on the structural simulation of stents and stent frames for artificial heart valves as well as simulations to compute the fluid-structure interaction of artificial heart valves. The session is closed with a presentation of PyAnsys-Heart, a high level pythonic interface to LS-DYNA. The overall functionality of the library will be presented in a live demo, which will demonstrate how to read a mesh, compute fibers and Purkinje network, launch simulations and post-process electrophysiological and mechanical results.

Modeling net capture of an object in LS-DYNA
A. Shreiber, L.-H. Drory (Rafael Advanced Defense)

Mechanical characterization and automated macro- level modelling strategies of Li-ion Battery Cells
J. Vinkovic, S. Hudales, M. Schwab, H. Pothukuchi (4a engineering)

Realistic articulation, positioning and simulation of Human Body Models using Oasys LS-DYNA tools
G. Mohamed, M. Agarwal (Arup)

Simulating the hot press processing of structural thermoplastic foams
S. Cassola, M. Duhovic, M. Salmins, P. Mitschang (Leibniz-Institut für Verbundwerkstoffe)

Comparative study of positioning HBM to cycling postures based on experimental data
M. Oikonomou (Aristotle University), A. Lioras, L. Rorris (BETA CAE Systems), T. Nikodelis, A. Mihailidis (Aristotle University)

Development of a Data-driven Surrogate Model for Scale-bridging in Battery Modelling Applications
H. Dhumal, T. Aubel, D. Koch (DYNAmore), A. Mielke, K. Keller (University of Stuttgart) 

This is Hans - The new Human Body model of DYNAmore
A. Gromer, D. Freßmann (DYNAmore)

Optimized light weight structures design using MAT187 card for improved accuracy
V. Kavalakkat (High Performance Plastics India), S. Bobba (SABIC), V. Godthi (High Performance Plastics India)

Parametric optimization of cellular materials through LS-OPT
A. Giustina, I. Colamartino, P. Franzosi, M. Anghileri, M. V. Boniardi (Politecnico di Milano)

Dynamic Explicit SPH Simulation and Material Characterization of Road Tankers using LS-DYNA
C. Robb, G. Abdelal (Queen's University), P. McKeefry, C. Quinn (Crossland Tankers) 

Worst-Case Topology Optimization
W. Roux, I. Gandikota, G. Yi (Ansys)

Recent Development of Multiscale Methods in LS-DYNA
C. T. Wu, W. Hu, X. Pan, B. Ren, Y. Guo, J. Xu, D. Lyu, H. Wei, Y. Xai, M. Su (Ansys)

Improvements of LS-DYNA ICFD’s two-phase level-set solver
Z. Solomenko, F. Del Pin, I. Caldichoury, R. Paz, P. Huang (Ansys)

Comparing Plate-Level Blast Analysis Using Ale, S-Ale And Conwep Methods
B. Sönmez, A. S. Yilmaz, U. O. Erkan (Anadolu ISUZU)

Model Quality – getting your model ‘right’

To be able to capture more and more detail in an analysis, LS-DYNA models continue to increase in size and complexity. A model can now commonly have ten to twenty million elements and it is essential that checking procedures are used to ensure that the model is ‘right’. As element count increases, checking an LS-DYNA model can be a difficult process as many of the checks can be very complex. Having robust methods for checking a keyword deck both interactively and as part of any automatic process is therefore essential for quality models and correct results. Ultimately, this will also give significant time savings. 

This workshop will describe the various checking methods, tips, tricks, and best practices to help you check and interrogate your LS-DYNA models, pre- and post-submission, using functionality in the Oasys LS-DYNA environment. 

Workshop FabWeld

FabWeld is a development environment for the optimal application of the LS-DYNA code for the calculation of all thermal joining processes using the finite element method for highest precision with the help of the welding structure simulation.

With FabWeld you simulate all processes of arc and beam welding as well as brazing.

FabWeld take into account the clamping tools with their clamping kinematics.

The workshop is intended to give a first insight into the operation and performance of the programme:

Create and prepare material cards for welding simulation - with and without microstructure transformation.

Setup of welding simulation models:

• Definition of weld paths and weld heat sources
• Boundary condition, clamp tools and clamp kinematics
• Special contacts for welding analysis
• Multi-stage analysis
• Analysis of distortion, residual stresses and microstructure

Creating Machine-Learning-Friendly Training Data from Crash Simulation Data
S. Zenne, J. Sprave (Mercedes-Benz), M. Stoll (Renumics)

Fluid-structure interaction simulations of mechanical heart valves with LS-DYNA ICFD
M. Arminio, D. Carbonaro,S. Zambon (Politecnico di Torino), R. Paz, Facundo Del Pin (Ansys), U. Morbiducci, D. Gallo, C. Chiastra, (Politecnico di Torino)

Innovating feasible Design with Machine Learning through the Combination of Topography Optimization and Ansys Forming
K. Shen, S. Stahn (Ansys)

Manufacturing, crimp and deploy simulations of Transcatheter Aortic Valve Replacement
N. Karajan (DYNAmore)

Fatigue assessment of an adhesively bonded EV battery enclosure, using LS-DYNA implicit tools
D. McLennan, M. Magnier (Arup)

Considering the Local Anisotropy in the Simulation Process Chain for Short and Long Fiber Reinforced Thermoplastics – Part I: Material Characterization
H. Pothukuchi (4a engineering), E. Reinhardt (Porsche), M. Schwab (4a engineering)

Inductive and RadioFrequency (RF) heating in LS-DYNA for medical and other industrial applications
I. Çaldichoury, P. L'Eplattenier, T. Nguyen (Ansys)

Time-Domain Explicit Dynamic CAE Simulation for Brake Squeal
G. Song (Ford Motor Company)

Recent enhancement for modelling adhesives in the closed manufacturing crashworthiness process chain
T. Klöppel (DYNAmore)

Key Findings of Surveys on Cloud Computing for Engineering Simulation 
W. Slagter (Ansys)

Hands on DM.inspect

DM.inspect is a batch program from the DYNAmore ECO SYSTEM allowing customized quality control for LS-DYNA input files. The software requires the individual definition of quality criteria by the user rather than providing any pre-defined checks. This modularized approach allows the application of DM.inspect for various simulation disciplines, typically having different modeling requirements. The check procedure performed by DM.inspect can be divided into three subsequent phases. An optional pre-phase where checks from a pre-processor can be applied, a simulation-phase performing an LS-DYNA initialization run and a post-phase with various checks based on the LS-DYNA input and output files. In the last phase, DM.check-hsp is used to create an XML-file containing model information from LS-DYNA’s output files. Finally, DM.inspect writes a report containing the results of the performed quality checks. DM.inspect can be used as a stand-alone tool as well as integrated in a simulation data management environment.

After a short introduction to DM.inspect and DM.check-hsp, the workshop will demonstrate the set-up and application of an
automated model check. The installation/ configuration of the tools will be discussed, followed by the definition of different
checks for a typical LS-DYNA include file from an automotive crash model. The workshop will mostly take place in the form of a live demo, leaving plenty of room for questions from the audience.

Material modeling for lightweight design

Lightweight is one of the catchwords when it comes to efficient and sustainable designs. The focus lies especially on materials like aluminum, ultra-high-strength steels and thermoplastics where optimized structures can only be achieved if these materials are brought near to their limits. This means that the material description in the simulation must be done as accurately as possible. However, such materials typically exhibit a behavior which can be challenging to describe.

This workshop aims to discuss how materials currently used in the industry mechanically behave, from plastic deformation up to fracture, and which possibilities are currently available for a successful material description in LS-DYNA. Special attention will be given to the description of plastic deformation as this is important for the subsequent failure prediction for which appropriate experimental data is crucial. Finally, we will shed some light on the current challenges involved in accurate material description up to fracture and give some hints on how to improve simulations.

FSI simulations to study eye biomechanics
E. Redaelli, B. Calvo (Universidad de Zaragoza), J. F. R. Matas, G. Luraghi (Politecnico di Milano), J. Grasa (Universidad de Zaragoza)

Using Data from Physical Experiments to Train Machine Learning Material Models
D. Sommer (University of Stuttgart), P. Böhringer (Mercedes-Benz), M. Stoll (Renumics), Prof. P. Middendorf (University of Stuttgart)

Anatomically accurate finite element model of a human head for crash applications
I. Colamartino, M. Anghileri, A. Tacchi (Politecnico di Milano), G. Canzi (ASST), G. Novelli (University of Milano-Bicocca)

A standardized and automated method for creating material and failure models for metals
S. Bala (d3VIEW), P. Du Bois (FSI)

Speeding Up LS-DYNA Implicit with Mixed Precision, Low Rank Approximations, and Accelerators
R. Lucas (Ansys), J. Cong (UCLA), F. Lopez, F.-H. Rouet (Ansys), L. Song (UCLA)