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Noemi Friedman
Noemi Friedman
Institute for Computer Science and Control (SZTAKI)
Verified email at ilab.sztaki.hu
Title
Cited by
Cited by
Year
Overview of highly flexible, deployable lattice structures used in architecture and civil engineering undergoing large displacements
N Friedman, A Ibrahimbegovic
YBL Journal of Built Environment 1 (1), 85-103, 2013
362013
Investigation of highly flexible, deployable structures: review, modelling, control, experiments and application
N Friedman
École normale supérieure de Cachan-ENS Cachan; Budapesti műszaki és …, 2011
362011
Deployable/retractable structures towards sustainable development
N Friedman, G Farkas, A Ibrahimbegovic
Pollack Periodica 6 (2), 85-97, 2011
262011
Seismic reliability assessment of a concrete water tank based on the Bayesian updating of the finite element model
F Marsili, P Croce, N Friedman, P Formichi, F Landi
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2017
232017
On the snap-back behavior of a self-deploying antiprismatic column during packing
N Friedman, M Weiner, G Farkas, I Hegedűs, A Ibrahimbegovic
Engineering structures 50, 74-89, 2013
142013
Bayesian updating of tall timber building model using modal data
B Kurent, N Friedman, WK Ao, B Brank
Engineering Structures 266, 114570, 2022
132022
Parameter identification via gpce-based stochastic inverse methods for reliability assessment of existing structures
F Marsili, N Friedman, P Croce
International Probabilistic Workshop, 112-123, 2015
82015
On Bayesian identification methods for the analysis of existing structures
F Marsili, N Friedman, P Croce, P Formichi, F Landi
Proceedings of the IABSE Congress Stockholm, Challenges in Design and …, 2016
72016
A worked-out example of surrogate-based bayesian parameter and field identification methods
N Friedman, C Zoccarato, E Zander, HG Matthies
Bayesian Methods for the Analysis of Engineering Systems; Chiachio Ruano, J …, 2021
62021
gPCE-based stochastic inverse methods: A benchmark study from a civil engineer’s perspective
F Landi, F Marsili, N Friedman, P Croce
Infrastructures 6 (11), 158, 2021
62021
Sensitivity analysis of factors controlling earth fissures due to excessive groundwater pumping
Y Li, N Friedman, P Teatini, A Benczur, S Ye, L Zhu, C Zoccarato
Stochastic Environmental Research and Risk Assessment 36 (11), 3911-3928, 2022
52022
Snow load on structures under changing climate conditions
P Croce, P Formichi, N Friedman, F Landi, F Marsili
Safety, Reliability, Risk, Resilience and Sustainabilitv of Structures and …, 2017
52017
Roof Structures in motion - on retractable and deployable roof structures enabling quick construction or adaption to external excitations
GF N. Friedman
Concrete Structures 12, 41-50, 2011
52011
Civil engineering structures: multiscale damage representation, identification, controlled destruction and quick reconstruction
A Ibrahimbegovic, A Kucerova, D Brancherie, M Hautefeuille, JB Colliat, ...
Damage Assessment and Reconstruction after War or Natural Disaster, 3-28, 2009
52009
Calibration of an extended eddy viscosity turbulence model using uncertainty quantification
G Subbian, AC Botelho e Souza, R Radespiel, E Zander, N Friedman, ...
AIAA Scitech 2020 Forum, 1031, 2020
42020
Bayesian calibration of model coefficients for a simulation of flow over porous material involving SVM classification
N Friedman, P Kumar, E Zander, HG Matthies
PAMM 16 (1), 669-670, 2016
42016
A comparison of stochastic inverse methods with sampling and functionalbased linear and non-linear update procedures
F Landi, F Marsili, N Friedman, P Croce
Beton-und Stahlbetonbau 113 (S2), 125-125, 2018
32018
Bayesian calibration of volume averaged rans model parameters for turbulent flow simulations over porous materials
P Kumar, N Friedman, E Zander, R Radespiel
New Results in Numerical and Experimental Fluid Mechanics XI: Contributions …, 2018
32018
Effect of climate change on snow load on ground: Bayesian approach for snow map refinement
P Croce, P Formichi, F Landi, F Marsili, N Friedman
14th International Probabilistic Workshop, 231-244, 2017
32017
Parameter Identification Based on Conditional Expectation
E Zander, N Friedman, HG Matthies
Bayesian Methods for the Analysis of Engineering Systems; Chiachio Ruano, J …, 2021
22021
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Articles 1–20