lsreader 0.0.24

A reader to extract LS-DYNA results

LS-Reader Project

The LS-Reader is designed to read LS-DYNA results and can extract the data of more than 100 such as stress, strain, id, history variable, effective plastic strain, number of elements and so on now. The LS-Reader provides an uniform interface for getting these data. For convenience, input parameters, like number of state, number of integration point, are designed as keyword arguments. More details please see LS-Reader Tutorial.

How to use

# D3plotReader
from lsreader import D3plotReader, DataType as dt

data_path = your/d3plot/file/path
dr = D3plotReader(data_path)

shell_stress = dr.get_data(dt.D3P_SHELL_STRESS, ist=0, ipt=1)
print(shell_stress[0].x())

shell_eps = dr.get_data(dt.D3P_SHELL_EFFECTIVE_PLASTIC_STRAIN, ist=0, ipt=1)
print(shell_eps[0])

thickness = dr.get_data(dt.D3P_SHELL_THICKNESS, ist=11)
print(thickness[0])

num_solid_element = dr.get_data(dt.D3P_NUM_SOLID)
print(num_solid_element)

# Get d3plot data by part
num_solid_pid_4 = dr.get_data(dt.D3P_NUM_SOLID, ipart_user=4)

shell_stress_pid_4 = dr.get_data(dt.D3P_SHELL_STRESS, ist=4, ipt=0, ipart_user=4)

# Get numpy array(numpy is required to be installed, using "pip install numpy")
shell_stress = dr.get_data(dt.D3P_SHELL_STRESS, ist=0, ipt=1, ask_for_numpy_array=True)
print(shell_stress)

# BinoutReader
from lsreader import BinoutReader, BINOUT_DataType as bdt

data_path = your/binout/file/path
br = BinoutReader(data_path)

branches = br.get_data(bdt.BINOUT_BRANCHES)
print(branches)

ids = br.get_data(bdt.BINOUT_NODOUT_IDS)
print(ids)
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Latest Tutorial

The examples and documents for this project is available here.