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Emmanuel Akintunde
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Unsupervised machine learning for robust bridge damage detection: full-scale experimental validation
E Akintunde, SE Azam, A Rageh, DG Linzell
Engineering Structures 249, 113250, 2021
162021
Evaluating pod-based unsupervised damage identification using controlled damage propagation of out-of-service bridges
S Ardani, E Akintunde, D Linzell, SE Azam, Q Alomari
Engineering Structures 286, 116096, 2023
52023
Singular value decomposition and unsupervised machine learning for virtual strain sensing: Application to an operational railway bridge
E Akintunde, SE Azam, DG Linzell
Structures 58, 105417, 2023
42023
Experimental study of continuous-beam lateral torsional–buckling resistance with a noncomposite concrete deck
CS Sun, DG Linzell, JA Puckett, E Akintunde, A Rageh
Journal of Structural Engineering 148 (4), 04022026, 2022
42022
Full scale bridge damage detection using sparse sensor networks, principal component analysis, and novelty detection
E Akintunde, SE Azam, A Rageh, D Linzell
Proceedings 42 (1), 2019
22019
Application of proper orthogonal decomposition to bridge damage detection-field investigations
S Ardani, E Akintunde, D Linzell, SE Azam
Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and …, 2022
12022
Probabilistic bridge fatigue evaluation at virtual sensing locations using kernel density estimation
E Akintunde, SE Azam, DG Linzell
International Journal of Fatigue 176, 107885, 2023
2023
Noncomposite concrete deck bracing effects on continuous steel stringer lateral torsional buckling resistance
CS Sun, OF Babarinde, D Kuruppuarachchi, DG Linzell, JA Puckett, ...
Engineering Structures 283, 115886, 2023
2023
Experimental Study of Continuous-Beam Lateral Torsional–Buckling Resistance with a Noncomposite Concrete Deck
DG Linzell, JA Puckett, E Akintunde, A Rageh
ASCE, 2022
2022
Fatigue Prognosis in Bridges Using Long Term Monitoring Data
EO Akintunde
The University of Nebraska-Lincoln, 2022
2022
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Articles 1–10