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Matteo Broggi
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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
1342018
A stochastic model updating technique for complex aerospace structures
B Goller, M Broggi, A Calvi, GI Schuėller
Finite Elements in Analysis and Design, 2011
1232011
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
1142019
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
1022012
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
932019
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
912017
Efficient modeling of imperfections for buckling analysis of composite cylindrical shells
M Broggi, GI Schuëller
Engineering Structures 33 (5), 1796-1806, 2011
892011
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
832019
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
802019
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
762015
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
762014
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
642020
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
482020
Do we have enough data? Robust reliability via uncertainty quantification
R Rocchetta, M Broggi, E Patelli
Applied Mathematical Modelling 54, 710-721, 2018
472018
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
462021
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
442012
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
422019
Nonparametric Bayesian stochastic model updating with hybrid uncertainties
M Kitahara, S Bi, M Broggi, M Beer
Mechanical Systems and Signal Processing 163, 108195, 2022
412022
Opencossan 2.0: an efficient computational toolbox for risk, reliability and resilience analysis
E Patelli, S Tolo, H George-Williams, J Sadeghi, R Rocchetta, ...
412018
Bayesian model updating in time domain with metamodel-based reliability method
M Kitahara, S Bi, M Broggi, M Beer
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2021
362021
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Artikler 1–20