# Dataset of compression after impact testing on carbon fiber reinforced plastic laminates

## TL;DR

This paper presents a dataset from compression after impact tests on carbon fiber reinforced plastic laminates to help predict strength reduction after impact.

## Contribution

The novelty lies in providing a comprehensive dataset linking impact damage and experimental conditions to predict residual strength in CFRP.

## Key findings

- The dataset includes test conditions, specimen details, and CAI strength measurements.
- It aims to help predict CAI strength based on damage and experimental parameters.
- The dataset supports research on impact behavior and AI applications in CFRP.

## Abstract

This dataset covers the data obtained from the compression after impact (CAI) tests. Before the CAI tests, the low-velocity impact (LVI) testing was conducted under various experimental conditions (layup, impactor shape, and impact energy) to simulate various foreign object impacts on actual structures. For the CAI tests, both the specimens used in the LVI tests and undamaged specimens were utilized to calculate the strength reduction rate. This dataset includes a test condition list and raw and processed data: 1. LVI test conditions, 2. Specimen size, 3. Specimen appearance after the CAI tests, 4. Raw data obtained from the data logger during the testing, and 5. CAI strength. This dataset is created to seek a way to predict CAI strength using information on damage in CFRP specimens and the experimental condition. The data are helpful for researchers and engineers who are involved in the impact behavior or residual characteristics of CFRP and artificial intelligence.