关注
Jawad Fayaz
标题
引用次数
引用次数
年份
Preliminary report on engineering and geological effects of the July 2019 Ridgecrest earthquake sequence
SJ Brandenberg, P Wang, CC Nweke, K Hudson, S Mazzoni, Y Bozorgnia, ...
Geotechnical Extreme Event Reconnaissance Association, 2019
622019
A deep neural network framework for real‐time on‐site estimation of acceleration response spectra of seismic ground motions
J Fayaz, C Galasso
Computer‐Aided Civil and Infrastructure Engineering 38 (1), 87-103, 2023
452023
Structural behavior of concrete beams and columns reinforced with Waste Plastic incorporated GFRP (WPGFRP) rebars
F Jawad, CY Adarsha, T Raghavendra, BC Udayashankar, K Natarajan
Journal of Building Engineering 23, 172-184, 2019
292019
Sensitivity of the response of Box-Girder Seat-type bridges to the duration of ground motions arising from crustal and subduction earthquakes
J Fayaz, M Medalla, F Zareian
Engineering Structures 219, 110845, 2020
282020
Generalized ground motion prediction model using hybrid recurrent neural network
J Fayaz, Y Xiang, F Zareian
Earthquake Engineering & Structural Dynamics 50 (6), 1539-1561, 2021
252021
Reliability analysis of steel SMRF and SCBF structures considering the vertical component of near-fault ground motions
J Fayaz, F Zareian
Journal of Structural Engineering 145 (7), 04019061, 2019
242019
Performance of ternary binder blend containing cement, waste gypsum wall boards and blast furnace slag in CLSM
T Raghavendra, YH Siddanagouda, F Jawad, CY Adarsha, ...
Procedia Engineering 145, 104-111, 2016
222016
Utilization of site-based simulated ground motions for hazard-targeted seismic demand estimation: application for ordinary bridges in Southern California
J Fayaz, M Dabaghi, F Zareian
Journal of Bridge Engineering 25 (11), 04020097, 2020
212020
Evaluation of simulated ground motions using probabilistic seismic demand analysis: CyberShake (ver. 15.12) simulations for Ordinary Standard Bridges
J Fayaz, S Rezaeian, F Zareian
Soil Dynamics and Earthquake Engineering 141, 106533, 2021
192021
Methodology for validation of simulated ground motions for seismic response assessment: Application to CyberShake source‐based ground motions
J Fayaz, S Azar, M Dabaghi, F Zareian
Bulletin of the Seismological Society of America 111 (1), 226-241, 2021
182021
Fragility and vulnerability analysis of deteriorating ordinary bridges using simulated ground‐motion sequences
K Otárola, J Fayaz, C Galasso
Earthquake Engineering & Structural Dynamics 51 (13), 3215-3240, 2022
172022
Strength resistance factors for seismic design of exposed based plate connections in special steel moment resisting frames
P Torres-Rodas, J Fayaz, F Zareian
Earthquake Spectra 36 (2), 537-553, 2020
152020
Assessment of ground motion amplitude scaling using interpretable Gaussian process regression: Application to steel moment frames
J Fayaz, P Torres‐Rodas, M Medalla, F Naeim
Earthquake Engineering & Structural Dynamics 52 (8), 2339-2359, 2023
122023
A recurrent-neural-network-based generalized ground-motion model for the Chilean subduction seismic environment
J Fayaz, M Medalla, P Torres-Rodas, C Galasso
Structural Safety 100, 102282, 2023
122023
An efficient algorithm to simulate site‐based ground motions that match a target spectrum
J Fayaz, F Zareian
Earthquake Engineering & Structural Dynamics 50 (13), 3532-3549, 2021
122021
An efficient algorithm to simulate hazard-targeted site-based synthetic ground motions
J Fayaz, S Azar, M Dabaghi, F Zareian
Earthquake Spectra 37 (2), 876-902, 2021
102021
Performance assessment of bridges under a sequence of seismic excitations
J Fayaz, Y Xiang, F Zareian
Compdyn 2019, 24-26, 2019
82019
A generalized ground-motion model for consistent mainshock–aftershock intensity measures using successive recurrent neural networks
J Fayaz, C Galasso
Bulletin of Earthquake Engineering 20 (12), 6467-6486, 2022
72022
A Bayesian network‐based probabilistic framework for updating aftershock risk of bridges
E Tubaldi, F Turchetti, E Ozer, J Fayaz, P Gehl, C Galasso
Earthquake Engineering & Structural Dynamics 51 (10), 2496-2519, 2022
72022
Flow forecasting for leakage burst prediction in water distribution systems using long short-term memory neural networks and Kalman filtering
L McMillan, J Fayaz, L Varga
Sustainable Cities and Society 99, 104934, 2023
62023
系统目前无法执行此操作,请稍后再试。
文章 1–20