Noemi Friedman
Noemi Friedman
TU Braunschweig Intitute of Scientific Computing
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Untethered soft robotic matter with passive control of shape morphing and propulsion
A Kotikian, C McMahan, EC Davidson, JM Muhammad, RD Weeks, ...
Sci. Robot 4 (33), 7044, 2019
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
Investigation of highly flexible, deployable structures: review, modelling, control, experiments and application
N Friedman
Deployable/retractable structures towards sustainable development
N Friedman, G Farkas, A Ibrahimbegovic
Pollack Periodica 6 (2), 85-97, 2011
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
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
On Bayesian identification methods for the analysis of existing structures
F Marsili, N Friedman, P Croce, P Formichi, F Landi
IABSE, 2016
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
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
Snow Load on Structures under Changing Climate Conditions
P Croce, P Formichi, N Friedman, F Landi, F Marsili
12th International Conference on Structural Safety and Reliability, 3504-3513, 2017
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
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
A comparison of stochastic inverse methods with sampling and functionalbased linear and non-linear update procedures
F Landi, F Marsili, N Friedman, P Croce
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
Investigation of highly flexible, deployable structures: review, identification, control, application
N Friedman
Phd Dissertation submitted to the ENS de Cachan and to the Budapest …, 2011
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, 479-488, 2018
Influence of Uncertainties of the Aerodynamical Parameters on the Simulation Model for a Civil Aircraft with Active High Lift System
N Friedman, JH Diekmann, HG Matthies
Book of Abstracts-Extract, 22, 2015
Parametric Study of the Elementary Segment of an Antiprismatic Pop-Up Deployable Lattice Column
N Friedman, G Farkas, A Ibrahimbegovic
YBL Journal of Built Environment 2 (2), 65-86, 2014
Stochastic Analysis of an Exotic Deployable Space Truss System
N Friedman, A Ibrahimbegovic, H Matthies
IABSE Symposium Report 102 (39), 401-404, 2014
George Rozvany and Tomasz Lewiński (eds): Topology optimization in structural and continuum mechanics
N Friedman, V Pomezanski, E Pinter
Structural and Multidisciplinary Optimization 48 (5), 1027-1029, 2013
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Artículos 1–20