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Rodrigo Silva-Lopez
Rodrigo Silva-Lopez
PhD Candidate in Civil Engineering, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
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
162022
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
122022
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
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
22023
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
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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Articles 1–13