AIM1 - MACHINE LEARNING METHODS FOR SEISMIC SAFETY AND CONDITION ASSESSMENT OF BRIDGES AND INFRASTRUCTURES |
WEDNESDAY | ||||||||
AMBER 2 | Convenors: I. Venanzi, G. Uva, P. Rizzo | ||||||||
10:30 - 10:38 | A DOMAIN ADAPTATION APPLICATION FOR NETWORK-LEVEL POST-EARTHQUAKE DAMAGE CLASSIFICATION V. Giglioni, I. Venanzi, F. Ubertini | |||||||
10:38 - 10:46 | AI-AIDED DETECTION OF THE RESPONSE OF FREE-STANDING ANCIENT COLUMNS SUBJECTED TO EARTHQUAKE F. Firoozmand, B. Liu, D. Loverdos, V. Sarhosis | |||||||
10:46 - 10:54 | BAYESOPT-BASED IMS FOR SEISMIC ASSESSMENT OF STRUCTURE SYSTEMS IN THE NEAR-FAULT REGION M. Li, Z. Guan | |||||||
10:54 - 11:02 | ENHANCING POST-EARTHQUAKE ROAD DAMAGE ASSESSMENT USING GENERATED FAKE DATA L.A. Chen, F.J. Tsai, S.Y. Lin | |||||||
11:02 - 11:10 | ESTABLISHMENT OF A CAPACITY MODEL FOR DOUBLE-DECK PIERS USING RANDOM FOREST W. Guo, K. Wang | |||||||
11:10 - 11:18 | AUTOMATIC BRIDGE DEFECT RECOGNITION THROUGH UAV PHOTOGRAMMETRY AND OBJECT DETECTION ALGORITHMS M. Castellani, A. Meoni, E. Garcia-Macias, F. Antonini, F. Ubertini | |||||||
11:18 - 11:26 | NON-DISPLACEMENT-BASED FEATURES FOR IDENTIFYING DEFORMATION MODE OF BUILDINGS WITH FEW SENSORS T.Z. Yeow, K. Kusunoki | |||||||
11:26 - 11:36 | ANN PREDICTION OF DESIGN PARAMETER AFFECTING SEISMIC STABILITY IN SLOPE REINFORCED BY PILE-ANCHOR D. Rahangdale, S. Adhikary, R.B. Keskar | |||||||
11:36 - 11:45 | QUANTIFICATION OF DAMAGE IN INFILLED REINFORCED CONCRETE FRAMES USING MACHINE AND DEEP LEARNING J. Singaucho, V. Metsis, A. Stavridis | |||||||
MONITOR 1 | Convenors: I. Venanzi, G. Uva, P. Rizzo | ||||||||
14:30 - 14:42 | HYBRID QUANTUM-CLASSICAL CONVOLUTIONAL NEURAL NETWORK FOR MULTICLASS DAMAGE PREDICTION OF BUILDINGS S. Bhatta, J. Dang | |||||||
14:42 - 14:54 | DAMAGE DETECTION IN TWO SMALL-SCALE STEEL FRAMES THROUGH TRANSFER LEARNING E. Tomassini, I.A. Hernández-González, V. Giglioni, I. Venanzi, E. García-Macías, F. Ubertini | |||||||
14:54 - 15:06 | MACHINE LEARNING APPLIED TO EDDY CURRENT THERMOGRAPHY FOR ASSESSING REINFORCED CONCRETE BARS G. Concu, D. Meloni, C. Piga | |||||||
15:06 - 15:18 | MACHINE-LEARNING BASED SEISMIC DAMAGE LIMIT STATES MODELS FOR CORRODED RC BRIDGE PIERS N. Chirdeep, M. Gangwar, S. Shekhar, A. Bahurudeen | |||||||
15:18 - 15:30 | MACHINE LEARNING BASED STRUCTURAL HEALTH MONITORING OF ROCKING BRIDGE SYSTEM UNDER SEISMIC EVENTS I. Mantawy, N. Ravuri | |||||||
15:30 - 15:42 | NEW EXPLAINABILITY METRICS TO ASSESS AI-BASED RECOGNITION OF TYPICAL DEFECTS IN EXISTING RC BRIDGES. S. Ruggieri, A. Cardellicchio, A. Nettis, V. Renò, G. Uva | |||||||
15:42 - 15:45 | DISCUSSION | |||||||
MONITOR 2 | Convenors: I. Venanzi, G. Uva, P. Rizzo | ||||||||
14:30 - 14:42 | BAYESIAN NEURAL NETWORK-BASED DATA FUSION FOR COMBINING SHM AND VISUAL INSPECTIONS L. Ierimonti, I. Venanzi, F. Mariani, F. Ubertini | |||||||
14:42 - 14:54 | POST-EARTHQUAKE DAMAGE STATE CLASSIFICATION USING VGG-16 CONVOLUTIONAL NEURAL NETWORK J.L. Abarquez, D.H. Aquino, K.D. Colegio | |||||||
14:54 - 15:06 | PRESTRESSED BRIDGE DAMAGE IDENTIFICATION: FEM AND DATA FUSION - A PARAMETRIC CASE STUDY P. Giri, L. Ierimonti, E.G. Macias, I. Venanzi, F. Ubertini | |||||||
15:06 - 15:18 | PROBABILISTIC SEISMIC DEMAND MODEL PREDICTION OF MULTI-SPAN GIRDER BRIDGES USING MACHINE LEARNING A. Nettis, F. Parisi, G. Uva | |||||||
15:18 - 15:30 | RESEARCH ON SEISMIC DESIGN AND EVALUATION METHODS FOR SMALL AND MEDIUM SPANNING HIGHWAY BEAM BRIDGES K. Wang, W. Guo | |||||||
15:30 - 15:42 | URBAN RESILIENCE: BUILDING QUALITY ASSESSMENT VIA UNSUPERVISED MACHINE LEARNING A. Kharazian, A. Guardiola Villora, S. Molina, J.J. Galiana-Merino, G. Ortuño Saez, J.L. Soler Llorens, J.A. Huesca Torto, I. Gómez Doménech, D. Montiel López | |||||||
15:42 - 15:45 | DISCUSSION |