Marco Broccardo
Title
Cited by
Cited by
Year
Is rocking motion predictable?
JA Bachmann, M Strand, MF Vassiliou, M Broccardo, B Stojadinović
Earthquake Engineering & Structural Dynamics 47 (2), 535-552, 2018
522018
The three‐dimensional behavior of inverted pendulum cylindrical structures during earthquakes
MF Vassiliou, S Burger, M Egger, JA Bachmann, M Broccardo, ...
Earthquake Engineering & Structural Dynamics 46 (14), 2261-2280, 2017
442017
Assumed‐deformation gradient finite elements with nodal integration for nearly incompressible large deformation analysis.
M Broccardo, M Micheloni, P Krysl
International journal for numerical methods in engineering 78 (9), 1113-1134, 2009
422009
Induced seismicity closed-form traffic light system for actuarial decision-making during deep fluid injections
A Mignan, M Broccardo, S Wiemer, D Giardini
Scientific reports 7 (1), 1-10, 2017
412017
A compositional demand/supply framework to quantify the resilience of civil infrastructure systems (Re-CoDeS)
M Didier, M Broccardo, S Esposito, B Stojadinovic
Sustainable and Resilient Infrastructure 3 (2), 86-102, 2018
362018
Hamiltonian Monte Carlo methods for subset simulation in reliability analysis
Z Wang, M Broccardo, J Song
Structural Safety 76, 51-67, 2019
352019
One neuron versus deep learning in aftershock prediction
A Mignan, M Broccardo
Nature 574 (7776), E1-E3, 2019
272019
Multicomponent nonlinear stochastic dynamic analysis by tail-equivalent linearization
M Broccardo, A Der Kiureghian
Journal of Engineering Mechanics 142 (3), 04015100, 2016
24*2016
Simulation of near-fault ground motions using frequency-domain discretization
M Broccardo, A Der Kiureghian
Proceedings, 10th National Conference on Earthquake Engineering, 2014
222014
Hierarchical Bayesian modeling of fluid‐induced seismicity
M Broccardo, A Mignan, S Wiemer, B Stojadinovic, D Giardini
Geophysical Research Letters 44 (22), 11,357-11,367, 2017
202017
Probabilistic resilience assessment of civil systems: Analysis and validity of the PEER framework
M Broccardo, P Galanis, S Esposito, B Stojadinovic
Safety and reliability of complex engineered systems: ESREL 331, 2015
19*2015
Neural network applications in earthquake prediction (1994–2019): Meta‐analytic and statistical insights on their limitations
A Mignan, M Broccardo
Seismological Research Letters 91 (4), 2330-2342, 2020
172020
An algorithm for finding a sequence of design points in reliability analysis
Z Wang, M Broccardo, A Der Kiureghian
Structural Safety 58, 52-59, 2016
172016
Including seismic risk mitigation measures into the Levelized Cost Of Electricity in enhanced geothermal systems for optimal siting
A Mignan, D Karvounis, M Broccardo, S Wiemer, D Giardini
Applied energy 238, 831-850, 2019
142019
A spectral-based stochastic ground motion model with a non-parametric time-modulating function
M Broccardo, M Dabaghi
12th International Conference on Structural Safety and Reliability; Vienna …, 2017
132017
Seismic resilience of the Nepalese power supply system during the 2015 Gorkha earthquake
M Didier, B Grauvogl, A Steentoft, S Ghosh, B Stojadinovic
16th World Conference on Earthquake Engineering, 16WCEE, 2017
122017
Further development of the tail-equivalent linearization method for nonlinear stochastic dynamics
M Broccardo
UC Berkeley, 2014
102014
Non stationary stochastic dynamic analysis by tail-equivalent linearization
M Broccardo, A Der Kiureghian
11th International conference on structural safety and reliability, New York, 2013
102013
Assessment of post-disaster community infrastructure services demand using Bayesian networks
M Didier, B Grauvogl, A Steentoft, M Broccardo, S Ghosh, B Stojadinovic
16th World Conference on Earthquake Engineering, 16WCEE, 2017
92017
Risk-based multilevel methodology to stress test critical infrastructure systems
S Esposito, B Stojadinović, A Babič, M Dolšek, S Iqbal, J Selva, ...
Journal of Infrastructure Systems 26 (1), 04019035, 2020
72020
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