Matteo Broggi

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Michael BeerLeibniz Universität HannoverCorreu electrònic verificat a irz.uni-hannover.de
Edoardo PatelliUniversity of Strathclyde, Glasgow, UKCorreu electrònic verificat a strath.ac.uk
Sifeng BiUniversity of SouthamptonCorreu electrònic verificat a soton.ac.uk
Matthias G.R. FaesFull Professor at TU Dortmund - Chair for Reliability EngineeringCorreu electrònic verificat a tu-dortmund.de
Pengfei WeiNorthwestern Polytechnical UniversityCorreu electrònic verificat a nwpu.edu.cn
Masaru KitaharaThe University of TokyoCorreu electrònic verificat a bridge.t.u-tokyo.ac.jp
Jasper BehrensdorfResearch Assisant, Leibniz University HannoverCorreu electrònic verificat a irz.uni-hannover.de
Julian SalomonResearch Assistant, Leibniz University HannoverCorreu electrònic verificat a irz.uni-hannover.de
Marco de AngelisUniversity of StrathclydeCorreu electrònic verificat a strath.ac.uk
Yves GoversGerman Aerospace Center (DLR)Correu electrònic verificat a DLR.de
John MottersheadUniversity of LiverpoolCorreu electrònic verificat a liverpool.ac.uk
Jingwen SongNorthwestern Polytechnical UniversityCorreu electrònic verificat a nwpu.edu.cn
Marcos ValdebenitoTU Dortmund University, GermanyCorreu electrònic verificat a tu-dortmund.de
David MoensProfessor - KU Leuven, dept. Mechanical EngineeringCorreu electrònic verificat a kuleuven.be
Niklas R. WinnewisserResearch AssociateCorreu electrònic verificat a irz.uni-hannover.de
Nicola PedroniAssociate professor, HDR, Politecnico di Torino (Torino, Italy)Correu electrònic verificat a polito.it
Enrico ZioProfessor Mines Paris/PSL and Politecnico di. MilanoCorreu electrònic verificat a mines-paristech.fr
Chao DangTU Dortmund University; Leibniz University HannoverCorreu electrònic verificat a tu-dortmund.de
Silvia ToloAssistant Professor, Resilience Engineering Research Group, University of NottinghamCorreu electrònic verificat a nottingham.ac.uk
Jinhua MiAssociate Professor, University of Electronic Science and Technology of ChinaCorreu electrònic verificat a uestc.edu.cn

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Matteo Broggi

Leibniz Universität Hannover

Correu electrònic verificat a irz.uni-hannover.de - Pàgina d'inici

Uncertainty Quantification Model Updating Robust Optimization imprecise probabilities


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
On-line Bayesian model updating for structural health monitoring R Rocchetta, M Broggi, Q Huchet, E Patelli Mechanical Systems and Signal Processing 103, 174-195, 2018	134	2018
A stochastic model updating technique for complex aerospace structures B Goller, M Broggi, A Calvi, GI Schuėller Finite Elements in Analysis and Design, 2011	123	2011
The role of the Bhattacharyya distance in stochastic model updating S Bi, M Broggi, M Beer Mechanical Systems and Signal Processing 117, 437-452, 2019	112	2019
General purpose software for efficient uncertainty management of large finite element models E Patelli, HM Panayirci, M Broggi, B Goller, P Beaurepaire, ... Finite elements in analysis and design 51, 31-48, 2012	103	2012
Non-intrusive stochastic analysis with parameterized imprecise probability models: I. Performance estimation P Wei, J Song, S Bi, M Broggi, M Beer, Z Lu, Z Yue Mechanical Systems and Signal Processing 124, 349-368, 2019	94	2019
Sensitivity or Bayesian model updating: a comparison of techniques using the DLR AIRMOD test data E Patelli, Y Govers, M Broggi, HM Gomes, M Link, JE Mottershead Archive of Applied Mechanics 87, 905-925, 2017	90	2017
Efficient modeling of imperfections for buckling analysis of composite cylindrical shells M Broggi, GI Schuëller Engineering Structures 33 (5), 1796-1806, 2011	87	2011
A multivariate interval approach for inverse uncertainty quantification with limited experimental data M Faes, M Broggi, E Patelli, Y Govers, J Mottershead, M Beer, D Moens Mechanical Systems and Signal Processing 118, 534-548, 2019	85	2019
Non-intrusive stochastic analysis with parameterized imprecise probability models: II. Reliability and rare events analysis P Wei, J Song, S Bi, M Broggi, M Beer, Z Lu, Z Yue Mechanical Systems and Signal Processing 126, 227-247, 2019	83	2019
OpenCossan: An efficient open tool for dealing with epistemic and aleatory uncertainties E Patelli, M Broggi, M Angelis, M Beer Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and …, 2014	77	2014
Uncertainty management in multidisciplinary design of critical safety systems E Patelli, DA Alvarez, M Broggi, M Angelis Journal of Aerospace Information Systems 12 (1), 140-169, 2015	75	2015
Reliability and importance analysis of uncertain system with common cause failures based on survival signature J Mi, M Beer, YF Li, M Broggi, Y Cheng Reliability Engineering & System Safety 201, 106988, 2020	64	2020
Resilience decision-making for complex systems J Salomon, M Broggi, S Kruse, S Weber, M Beer ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2020	49	2020
Do we have enough data? Robust reliability via uncertainty quantification R Rocchetta, M Broggi, E Patelli Applied Mathematical Modelling 54, 710-721, 2018	47	2018
Numerically efficient computation of the survival signature for the reliability analysis of large networks J Behrensdorf, TE Regenhardt, M Broggi, M Beer Reliability Engineering & System Safety 216, 107935, 2021	46	2021
Failure and reliability predictions by infinite impulse response locally recurrent neural networks E Zio, M Broggi, LR Golea, N Pedroni Chemical engineering transactions 26, 2012	45	2012
The Bhattacharyya distance: Enriching the P-box in stochastic sensitivity analysis S Bi, M Broggi, P Wei, M Beer Mechanical Systems and Signal Processing 129, 265-281, 2019	42	2019
Nonparametric Bayesian stochastic model updating with hybrid uncertainties M Kitahara, S Bi, M Broggi, M Beer Mechanical Systems and Signal Processing 163, 108195, 2022	41	2022
Opencossan 2.0: an efficient computational toolbox for risk, reliability and resilience analysis E Patelli, S Tolo, H George-Williams, J Sadeghi, R Rocchetta, ... Joint ICVRAM ISUMA UNCERTAINTIES conference, 2018	41	2018
Elucidating appealing features of differentiable auto-correlation functions: A study on the modified exponential kernel MGR Faes, M Broggi, PD Spanos, M Beer Probabilistic Engineering Mechanics 69, 103269, 2022	36	2022

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