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AIM3 - SENSE AND SENSIBILITY OF MACHINE LEARNING IN NATURAL HAZARDS ENGINEERING
AIM3 - SENSE AND SENSIBILITY OF MACHINE LEARNING IN NATURAL HAZARDS ENGINEERING
THURSDAY
AMBER 2 | Convenors: N. Bijelic, H. Burton, Y. Xie
09:00 - 09:12 INTELLIGENT LEARNING PARADIGMS TO ENABLE ADAPTABLE SEISMIC FRAGILITY AND RESTORATION MODELS
R. Rincon, J.E. Padgett
09:12 - 09:24 INTEGRATING AUTOMATION AND SURROGATE MODELING FOR HIGH-FIDELITY REGIONAL SEISMIC RISK ASSESSMENT
L. Dahal, H. Burton
09:24 - 09:36 ESTIMATING THE DYNAMIC RESPONSE OF STRUCTURES USING RECURRENT NEURAL NETWORKS
Z. Kasi, B. Simpson, M. Scott
09:36 - 09:48 DEEP LEARNING FOR GROUND MOTION GENERATION, SEISMIC RESPONSE PREDICTION, AND FRAGILITY ASSESSMENT
T. Xie, C. Ning
09:48 - 10:00 HAZARD-CONSISTENT COLLAPSE RISK ASSESSMENT OF STEEL MOMENT RESISTING FRAMES USING SURROGATE MODELS
N. Bijelic, A. Skiadopoulos, D. Lignos
10:00 - 10:12 AN END-TO-END DEEP LEARNING VULNERABILITY MODEL FOR SEISMIC RISK ASSESSMENT
L. Martins, V. Silva
10:12 - 10:15 DISCUSSION
MONITOR 1 | Convenors: N. Bijelic, H. Burton, Y. Xie
10:30 - 10:42 A FREQUENCY-BASED SITE FORECASTING METHOD USING DEEP LEARNING
A. A. Torky, S. Ohno
10:42 - 10:54 PHYSICS-INFORMED NEURAL NETWORKS FOR 1D SITE RESPONSE ANALYSIS
Y. Chen, D. Ji, C. Li, W. Wen, C. Zhai
10:54 - 11:06 A RANDOM FOREST-BASED GROUND MOTION MODEL FOR ITALY
F. Di Michele, G. Lanzano, S. Sgobba
11:06 - 11:18 MEANET: MAGNITUDE ESTIMATION VIA PHYSICS-BASED FEATURES TIME SERIES, AND NEURAL NETWORKS
J. Song, J. Zhu, S. Li, Q. Ma, H. Liu, D. Tao
11:18 - 11:30 ONE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORK-BASED LIQUEFACTION PREDICTION MODEL
X. Long, R. Sun, T. Zheng, Y. Zhang
11:30 - 11:42 SOURCE DEPENDENCY OF SPECTRAL TRANSFER CHARACTERISTICS FOR REALTIME SPECTRAL FORECASTING
S. Ohno, A. Torky
11:42 - 11:45 DISCUSSION
MONITOR 2 | Convenors: N. Bijelic, H. Burton, Y. Xie
10:30 - 10:42 BAYESIAN NEURAL NETWORKS BASED STRUCTURAL DEMAND SURROGATE MODELS FOR STEEL MOMENT FRAMES
J. Fayaz, A. Zsarnoczay
10:42 - 10:54 ACCELERATING FINITE-ELEMENT STRUCTURAL ELASTIC DYNAMIC ANALYSIS USING GPU COMPUTING
G.A. Ara├║jo R., B.G. Simpson, M. Zhu, M.H. Scott
10:54 - 11:06 AN INTERPRETABLE MODEL TO PREDICT THE SEISMIC FAILURE MODE OF RC SHEAR WALLS
Z. Tuna Deger, G. Taskin Kaya
11:06 - 11:18 LEVERAGING MACHINE LEARNING ALGORITHMS FOR REGRESSION ANALYSIS IN SHAKE TABLE DATA PROCESSING
K. Erler, G. Mosqueda
11:18 - 11:30 STRUCTURAL RESPONSE PREDICTED BY NEURAL NETWORKS AND EXPLAINED BY STRUCTURAL DYNAMICS
S. Gunay, I.K. Pang, K. Mosalam
11:30 - 11:42 ENHANCING NONLINEAR MODELING PARAMETERS OF RC COLUMNS USING MACHINE LEARNING TECHNIQUES
H. Khodadadi Koodiani, E. Jafari, A. Matamoros
11:42 - 11:45 DISCUSSION