Skip to main content

Toolboxes for working with LS-Dyna and LS-Prepost through python.

Project description

LS_toolbox

A collection of tools for working with LS-DYNA and LS-PrePost.

Installation

pip install LS_toolbox

Create environment variables named LSDYNA_PATH and LSPREPOST_PATH and set them to the paths of the LS-DYNA and LS-PrePost executables, respectively.
To do this, open the terminal and type:

For Windows:

setx LSDYNA_PATH "path\to\lsdyna\executable"
setx LSPREPOST_PATH "path\to\lsprepost\executable"

For Linux:

export LSDYNA_PATH="path/to/lsdyna/executable"
export LSPREPOST_PATH="path/to/lsprepost/executable"

Example usage

Copy/paste and run as it is:

import ls_toolbox as lst
import pyvista as pv
import os
import subprocess
import numpy as np

"""
Example using a beam 3D mesh .k file.
The mesh is first displayed using PyVista.
Then a finite element model is created by setting the boundary conditions (traction test) and material properties.
Finally, the simulation is run using LS-Dyna and the d3plot file is opened in LS-PrePost.
Simulation files are cleared at the end (except for the .K file of the FE model).
"""

# get ls_toolbox path
lst_path = os.path.dirname(lst.__file__)

# Path to the example keyfile
file_path = os.path.join(lst_path, "Example/Beam_3D_mesh_example.k")

# Read the keyfile
keyfile_lines = lst.read_keyfile.read_keyfile(file_path)

# Visualize the mesh with PyVista
mesh = lst.display.keyword2pvmesh(file_path)
mesh.plot(show_edges=True)

# Get the nodes from the keyfile
nodes = lst.read_keyfile.read_nodes(file_path)
ids = np.array(list(nodes.keys()))
coords = np.array(list(nodes.values()))

# Add a fixed displacement on the bottom nodes
# Get the nodes on the bottom face
bottom_nodes = ids[coords[:, 2] == min(coords[:, 2])]
lst.write_keyfile.add_spc(keyfile_lines, bottom_nodes)

# Add a prescribed motion on the top nodes
# Get the nodes on the top face
top_nodes = ids[coords[:, 2] == max(coords[:, 2])]
lst.write_keyfile.add_prescribed_motion_velocity(keyfile_lines, top_nodes, 1.)  # Only along the z axis

# Add a section
section_id = lst.write_keyfile.add_section_solid(keyfile_lines)

# Add a material elastic linear
material_data = np.array([1000, 1e6, 0.4999])  # rho, E, nu
material_id = lst.write_keyfile.add_mat_elastic(keyfile_lines, material_data)

# Modify the part to set the section and material data
part_id = 1
lst.write_keyfile.modify_part(keyfile_lines, part_id, section_id, material_id)

# Add an implicit solver
lst.write_keyfile.add_implicit_solver(keyfile_lines, dt0=0.5)

# Add termination time
lst.write_keyfile.add_termination(keyfile_lines, 30.)

# Add d3plot output
lst.write_keyfile.add_d3plot(keyfile_lines, dt=0.5)

# Write the new keyfile
new_file_path = file_path.replace(".k", "_model.k")
lst.write_keyfile.write_keyfile(keyfile_lines, new_file_path)

# Run LS-Dyna
print("Running LS-Dyna...")
lst.prepost_commands.run_lsdyna(new_file_path)
print("Done.")

# Open the d3plot file in PrePost
subprocess.check_call(
    f"\"{lst.prepost_commands.LS_PREPOST_PATH}\" {os.path.join(os.path.split(new_file_path)[0], 'd3plot')}", shell=True)

# Clear simulation files
lst.clear_sim_files.clear_sim_files(os.path.split(new_file_path)[0])

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ls_toolbox-0.1.9.0.tar.gz (24.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ls_toolbox-0.1.9.0-py3-none-any.whl (28.4 kB view details)

Uploaded Python 3

File details

Details for the file ls_toolbox-0.1.9.0.tar.gz.

File metadata

  • Download URL: ls_toolbox-0.1.9.0.tar.gz
  • Upload date:
  • Size: 24.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.7

File hashes

Hashes for ls_toolbox-0.1.9.0.tar.gz
Algorithm Hash digest
SHA256 6b7065e08bdc197577817f04a15a0cfcd90446434fcc063c58efe6b5219fbb2f
MD5 dd81a376bf6799ebaed12596e570948b
BLAKE2b-256 07e8b1bf91a8d7c8e0ed5378aba07b6715d82db6343ec0746c23d144905a9f22

See more details on using hashes here.

File details

Details for the file ls_toolbox-0.1.9.0-py3-none-any.whl.

File metadata

  • Download URL: ls_toolbox-0.1.9.0-py3-none-any.whl
  • Upload date:
  • Size: 28.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.7

File hashes

Hashes for ls_toolbox-0.1.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 784222fd5998ad39c10865b709acc58ded9c6a50ee1689bf74bb850cfd7447a2
MD5 2fd8a511a05ed56751309570b99fa3b3
BLAKE2b-256 4e9a20f344d81d3361d37fe2eda0d26581af0b88690453e627c30547825ade31

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page