Biodegradable Crab Leg Mechanism

Data

Data (.csv) collected for the Dynamics assignment. Daniel collected this data for characterizing the damping of the cardboard material. Each row of data cooresponds to 1 timestep. The columns are indicated at the top of each file.

Damping Characterization - Motion Capture Data

Data (.txt) collected from the Design Optimization assignment. The data is in the form of a .txt file of the output of running the optimization code.

Optimization Results - Full Code Output

Below is an example of how to pull data from this .txt file using regular expressions in Python while working in Google Colab.

# Import the Python package for regular expressions
import re

# Pull the .txt file containing the output
!npx degit arnoldjames98/arnoldjames98.github.io/optimization -f

# Now the file is locally in colab, so can load it in via /content
input_filename = 'optimizationOuput.txt'

# Load the text file
with open('/content/optimizationOutput.txt', 'r') as file:
    data = file.read().replace('\n', '')
    
# Pulling all the stiffness inputs to the optimization
allStiffness = re.findall(r'Stiffness: \[(\d+\.?\d*)\]', data)
stiffnessFloats = [float(numeric_string) for numeric_string in allStiffness]

# Pulling all the performance metrics results for each stiffness input
allPerformance = re.findall(r'Performance Metric to Minimize: (\d+\.?\d*)', data)
performanceFloats = [float(numeric_string) for numeric_string in allPerformance]

Data (.csv) collected for the Experimental Validation assignment. Each row of data cooresponds to 1 timestep. The columns are indicated at the top of each file.