Research Article

Unsupervised Structural Damage Detection Technique Based on a Deep Convolutional Autoencoder

Table 2

Damage percentage in IASC-ASCE benchmark structure under different damage patterns for cases (a) to (f).

Damage patternDamage percentage (%)
Case (a)Case (b)Case (c)Case (d)Case (e)Case (f)

Healthy554.555.55.52
1847679.576.678.2578.2
290.57986.586.287.3786.24
330292928.628.4227.4
438.5282728.5430.6729.36
527.5333331.7434.0535.16
61714131617.5517.16