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Rodrigo Silva-Lopez
Rodrigo Silva-Lopez
PhD Candidate in Civil Engineering, Stanford University
Preverjeni e-poštni naslov na stanford.edu - Domača stran
Naslov
Navedeno
Navedeno
Leto
Deep learning–based retrofitting and seismic risk assessment of road networks
R Silva-Lopez, JW Baker, A Poulos
Journal of Computing in Civil Engineering 36 (2), 04021038, 2022
152022
Stochastic Strong‐Motion Simulation in Borehole and on Surface for the 2011 M w 9.0 Tohoku‐Oki Megathrust Earthquake Considering P, SV, and SH Amplification Transfer Functions
S Ruiz, J Ojeda, C Pastén, C Otarola, R Silva
Bulletin of the Seismological Society of America 108 (5A), 2333-2346, 2018
142018
Commuter welfare-based probabilistic seismic risk assessment of regional road networks
R Silva-Lopez, G Bhattacharjee, A Poulos, JW Baker
Reliability Engineering & System Safety 227, 108730, 2022
102022
Machine‐learning‐based optimization framework to support recovery‐based design
O Issa, R Silva‐Lopez, JW Baker, HV Burton
Earthquake Engineering & Structural Dynamics 52 (11), 3256-3280, 2023
32023
Use of corridors to select bridges to retrofit in road networks in seismic regions
R Silva-Lopez, JW Baker
Sustainable and Resilient Infrastructure 7 (6), 901-917, 2022
12022
Comparative study of retrofitting strategies for seismic risk management of road networks
R Silva-Lopez, J Baker
12022
Use of Corridors for Decision Making in Transportation Networks in Seismic Regions
RI Silva-Lopez, JW Baker
12021
Optimal Bridge Retrofitting Selection for Seismic Risk Management Using Genetic Algorithms and Neural Network–Based Surrogate Models
R Silva-Lopez, JW Baker
Journal of Infrastructure Systems 29 (4), 04023030, 2023
2023
Generación de acelerogramas sintéticos del terremoto de Tohoku en Japón considerando efectos de sitio
RI Silva López
Universidad de Chile, 2017
2017
Optimization framework to support recovery-based design of buildings—preliminary results
O Issa, J Baker, R Silva-Lopez
DEVELOPMENT OF A RECORD-BASED STOCHASTIC GROUND MOTION MODEL FOR CHILE
R Silva, AA Taflanidis, GP Mavroeidis, C Pastén
Detecting and predicting earthquake ground motion directionality patterns using machine learning tools
R Silva-Lopez
Neural networks explanation models to support earthquake mitigation decision-making
R Silva-Lopez
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