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https://github.com/sumitesh9/structural-damage-detection
Implementation of ML algorithms that help identify extent of damage in the structure.
https://github.com/sumitesh9/structural-damage-detection
Last synced: about 2 months ago
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Implementation of ML algorithms that help identify extent of damage in the structure.
- Host: GitHub
- URL: https://github.com/sumitesh9/structural-damage-detection
- Owner: sumitesh9
- Created: 2020-07-23T05:11:43.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-07-23T05:17:00.000Z (over 4 years ago)
- Last Synced: 2024-09-16T06:54:35.650Z (4 months ago)
- Language: Python
- Size: 374 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Structural-Damage-Detection
Implementation of ML algorithms that help identify extent of damage in the structure.
Project Contributors - Sumitesh Naithani ([email protected])
Md Aarish Siddiqui ([email protected])
Introduction -
This is ML based project trained on dataset of structure (concrete - building) pertaining to 30 joints. In this project we took dataset of only 3 joints. At every joint there is accelorometer attatched to help fetch the reading of the earthquake sensed at that point.
Description of the dataset -
merged1.csv - consists of accelerometer readings when the joints are damaged due to earthquake and additional columns are added to distinguish between 3 joints.
merged2.csv - consists of accelerometer readings in both damaged and undamaged condition. Binary classification is used. 0 for undamaged condition and 1 for damaged condition.
Algorithms & Concepts used - 1) Random Forest Algorithm https://en.wikipedia.org/wiki/Random_forest
2) Artificial Neural Networks https://en.wikipedia.org/wiki/Artificial_neural_network
Model is also capable of testing arbitrary accelerometer readings as an input.
Dataset is not uploaded for copyright issues.
For further queries check the earthquakedamage.pptx file. https://github.com/sumitesh9/Structural-Damage-Detection/blob/master/EARTHQUAKE%20DAMAGE.pptx