Marco Broccardo
TitleCited byYear
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
382009
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
282017
Is rocking motion predictable?
JA Bachmann, M Strand, MF Vassiliou, M Broccardo, B Stojadinović
Earthquake Engineering & Structural Dynamics 47 (2), 535-552, 2018
212018
Multicomponent nonlinear stochastic dynamic analysis by tail-equivalent linearization
M Broccardo, A Der Kiureghian
Journal of Engineering Mechanics 142 (3), 04015100, 2015
21*2015
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
192018
Simulation of near-fault ground motions using frequency-domain discretization
M Broccardo, A Der Kiureghian
Proceedings, 10th National Conference on Earthquake Engineering, 2014
172014
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 2015 331, 2015
16*2015
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), 13607, 2017
152017
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
142016
Hamiltonian Monte Carlo methods for Subset Simulation in reliability analysis
Z Wang, M Broccardo, J Song
Structural Safety 76, 51-67, 2019
132019
Seismic resilience of the Nepalese power supply system during the 2015 Gorkha earthquake
M Didier, B Grauvogl, A Steentoft, S Ghosh, B Stojadinovic
Proceedings of 16th world conference on earthquake engineering (16WCEE), 2017
112017
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
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
92013
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
82017
Further development of the tail-equivalent linearization method for nonlinear stochastic dynamics
M Broccardo
UC Berkeley, 2014
82014
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, 1-10, 2017
72017
The tail equivalent linearization method for nonlinear stochastic processes, genesis and developments
M Broccardo, U Alibrandi, Z Wang, L Garrè
Risk and reliability analysis: Theory and applications, 109-142, 2017
62017
Quantification of non-structural damage in unreinforced masonry walls induced by geothermal reservoir exploration using quasi-static cycling tests
M Didier, G Abbiati, M Broccardo, K Beyer, L Danciu, M Petrović, ...
13th Canadian Masonry Symposium, 2017
52017
APPLICATION OF THE PEER-PBEE FRAMEWORK FOR PROBABILISTIC RESILIENCE ASSESSMENT OF A STRUCTURAL SYSTEM.
M Broccardo, S Esposito, P Galanis, B Stojadinovic
International symposium on sustainability and resiliency of infrastructure …, 2017
42017
One neuron versus deep learning in aftershock prediction
A Mignan, M Broccardo
Nature 574 (7776), E1-E3, 2019
32019
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Articles 1–20