PSI - Issue 78
Lorenzo Principi et al. / Procedia Structural Integrity 78 (2026) 1681–1688
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Table 3. Statistical report for the categorical input features
Static Scheme
Deck Material object Hybrid
Bridge Age Class
Design Code Class
Alternate Routes
Load Limit object
PGA Seismic Design
Obstacle Type
Entry
object
object ≤1945
object
object
object
object
object
1 2 3 4 5 6 7
Arc
A B C
Built-up area
No
A B
< 0.05 g
Yes
Beams
Masonry 1945-1980
Natural discontinuity
Yes
0.05 g - 0.10 g No
RC (1)
Slab
≥1980
River
C 0.10 g - 0.15 g D 0.15 g - 0.25 g
PRC (2)
Other
Primary road Secondary road
Other
≥ 0.25 g
Railway
Other
(1) Reinforced Concrete; (2) PrecastReinforced Concrete Table 4 shows the CER labels distribution, highlighting a strong class imbalance.
Table 4. Distribution of the CER of the bridges (L = Low, M-L = Medium-Low, M = Medium, M-H = Medium-High, H = High).
L 0
M-L
M
M-H
H
34
131
218
137
3.1.2. Data Preprocessing The second step of Phase I is Data Preprocessing, which prepares the data for the ANN using encoding strategies from Principi et al. (2025). A comprehensive overview of the preprocessing strategies is provided in Table 5 .
Table 5. Preprocessing strategies for input features.
Preprocessing Strategy Normalizing ad-hoc function: ( ) = 1 − 1 . 00231 − Normalizing ad-hoc function: ( ) = 1 − 1 . 25893 − Normalizing ad-hoc function: ( ) = 1 − 1 . 09648 − Normalized (≤10k, 10k - 25k, ≥25k)
Input Features Total Length Max span length Number of Spans
Encoded Values
Range [0, 1) Range [0, 1) Range [0, 1)
ADT
(0.00; 0.50; 1.00) (0.00; 0.50; 1.00) (1,0,0,0) to (0,0,0,1) (1,0,0,0,0) to (0,0,0,0,1)
ADTT
Normalized (≤300, 300 - 700, ≥700) One-Hot-Encoding (4 possible entries) One-Hot-Encoding (5 possible entries)
Static scheme Deck material Bridge age class Design code class Obstacle type Alternate routes
Normalized Normalized
(0.00; 0.50; 1.00) (0.00; 0.50; 1.00)
One-Hot-Encoding (8 possible entries)
(1,0,0,0,0,0,0,0) to (0,0,0,0,0,0,0,1)
Binarized
(1 = Yes; 0 = No)
Load Limit
Normalized
(1.00; 0.75; 0.50; 0.25)
Seismic Design
Binarized
(1 = Yes; 0 = No)
PGA
Normalized
(0.00; 0.25; 0.50; 0.75; 1.00)
3.2. Phase II: Data Processing 3.2.1. Feature Importance
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