Lectures of Dr. techn. Matteo Broggi

Conference Papers

  • Winnewisser, N.R., Saleem, S., Shi, Y., Hennig, L. , Salomon, J., Broggi, M., Beer, M. (2024): Resilience-Based Optimization of Life Cycle Measure Strategies Considering Adaptiveness in the Context of Linked Data ModelsProceedings 4th International Conference on Vulnerability and Risk Analysis and Management (ICVRAM2024) & 8th International Symposium on Uncertainty Modelling and Analysis (ISUMA2024). Shanghai, China.
  • Winnewisser, N. R., Salomon, J., Broggi, M., Beer, M. (2023): The Concept of Diagonal Approximated Signature: New Surrogate Modeling Approach for Continuous-State Systems.Infrastructure Innovation & Adaptation for a Sustainable & Resilient World (INSPIRE) Conference Proceedings. pp. 258-266. Virginia, USA.
  • Kitahara, M.; Bi, S.; Broggi, M.; Beer, M. (2022): Adaptive Kriging surrogate model for Bayesian model updating with Bhattacharyya distance metricProceedings of the 13th International Conference on Structural Safety and Reliability (ICOSSAR 2021-2022), China.
  • Salomon, J., Behrensdorf, J., Winnewisser, N. R., Broggi, M., Beer, M. (2022): Resilience decision-making for complex and Substructured systems8th International Symposium on Reliability Engineering and Risk Management (ISRERM), Hannover, Germany
  • Salomon, J.; Göing, J.; Lück, S.; Broggi, M., Friedrichs, J., Beer, M. (2021): Sensitivity Analysis of an Aircraft Engine Model under Consideration of Dependent VariablesASME TURBOEXPO 2021: Turbomachinery Technical Conference & Exposition. The American Society of Mechanical Engineers (ASME), Pittsburgh, USA.
  • Behrendt, M.; Bittner, M.; Comerford, L.; Broggi, M.; Beer, M. (2020): Parameter Investigation of Relaxed Uncertain Power Spectra for Stochastic Dynamic SystemsProceedings of the XI International Conference on Structural Dynamics (EURODYN 2020), Athens, Greece.
    DOI: 10.47964/1120.9311.18861
  • Bittner M.; Broggi M.; Beer M.; Chen J.; Li J. (2020): Reliability estimation of rare events for stochastic dynamic systems excited by stationary stochastic processesProceedings of the APSSRA 2020.
    DOI: https://doi.org/10.15083/00079789
  • Kitahara, M., Broggi, M. and Beer, M. (2020): Bayesian model updating for existing seismic-isolated bridges using observed acceleration response dataProceedings of the XI International Conference on Structural Dynamics (EURODYN 2020), Athens, Greece.
    DOI: https://doi.org/10.47964/1120.9291.18937
  • Kitahara, M., Broggi, M. and Beer, M. (2020): Implementation of adaptive Kriging surrogate model for seismic reliability analysis of existing bridgesProceedings of the Seventh Asian-Pacific Symposium on Structural Reliability and Its Applications (APSSRA 2020), Tokyo, Japan.
    DOI: http://doi.org/10.15083/00079768
  • Salomon, J; Winnewisser, N.; Wei, P.F.; Broggi, M.; Beer, M. (2020): Efficient Reliability Analysis of an Axial Compressor in Consideration of Epistemic Uncertaintye-proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference, Venice, Italy. | File |
    ISBN: 978-981-14-8593-0
  • Bittner, M.; Broggi, M.; Beer M. (2019): Rare Event Modelling for Stochastic Dynamic Systems approximated by the Probability Density Evolution MethodProceedings of the 29th European Safety and Reliability Conference (ESREL).
    DOI: 10.3850/978-981-11-2724-3_0735-cd
  • Salomon, J.; Behrensdorf, J.; Broggi, M.; Weber, S.; Beer, M. (2019): Multidimensional Resilience Decision-Making On A Multistage High-Speed Axial Compressor29th International European Safety and Reliability Conference, ESREL 2019, Hannover, Germany. | File |
    DOI: 10.3850/978-981-11-2724-3 0992-cd
    ISBN: 978-981-11-2724-3
  • Behrensdorf, J.; Broggi, M.; Beer, M. (2018): Imprecise reliability analysis of complex interconnected networks28th International European Safety and Reliability Conference, ESREL 2018, Trondheim, Norway.
    DOI: 10.1201/9781351174664-325
    ISBN: 978-081538682-7
  • Longxue He, António Topa Gomes, Matteo Broggi, and Michael Beer (2018): Risk Analysis of Infinite Slope Failure using Advanced Bayesian NetworksProc. of the 8th International Workshop on REC 2018, Liverpool, UK.
  • Longxue He, António Topa Gomes, Matteo Broggi, and Michael Beer. (2018): Risk Assessment for Slope Stability with Enhanced Bayesian Networks MethodsProc. of the 6th ISRERM conference, Singapore 2018
    DOI: 10.3850/978-981-11-2726-7_CTC304S3MRS04
  • Regenhardt, T.-E.; Wei, L.; Broggi, M.; Beer, M (2018): Applying Graph Theory and Lifeline Reliability to the System Survival Signature6th International Symposium on Reliability Engineering and Risk Management (6ISRERM), 31 May-01 Jun 2018, Singapore.
    DOI: 10.3850/978-981-11-2726-7_CRR19
  • Salomon, J.; Kruse, S.; Broggi, M.; Weber, S.; Beer, M. (2018): Decision-making for resilience-enhancing endowments in complex systems using principles of risk measures6th International Symposium on Reliability Engineering and Risk Management (6ISRERM), 31 May-01 Jun 2018, Singapore. | File |
  • Behrensdorf, J.; Broggi, M.; Brandt, S.; Beer, M. (2017): Numerically efficient reliability analysis of interdependent networks27th European Safety and Reliability Conference - ESREL 2017.
    DOI: 10.1201/9781315210469-298
  • Brandt, S.; Broggi, M.; Hafele, J.; Guillermo Gebhardt, C.; Rolfes, R.; Beer, M. (2017): Meta-models for fatigue damage estimation of offshore wind turbines jacket substructuresEURODYN 2017, Procedia Engineering, Volume 199, 2017, Pages 1158-1163.
    DOI: 10.1016/j.proeng.2017.09.292
  • Broggi, M., Faes, M., Patelli, E., Govers, Y, Moens, D., Beer, M. (2017): Comparison of Bayesian and interval uncertainty quantification: Application to the AIRMOD test structure2017 IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, USA.
    DOI: 10.1109/SSCI.2017.8280882
  • Glišić, A.; Schaumann, P.; Broggi, M.; Beer, M. (2017): Sensitivity Analysis of Material and Load Parameters to Fatigue Stresses of an Offshore Wind Turbine Monopile SubstructureEURODYN 2017, Procedia Engineering, Volume 199, 2017, Pages 1228-1233.
    DOI: 10.1016/j.proeng.2017.09.255
  • Patelli, E.; Broggi, M.; Govers, Y.; Mottershead, J.E. (2017): Model Updating Strategy of the DLR-AIRMOD Test StructureEURODYN 2017, Procedia EngineeringVolume 199, 2017, Pages 978-983.
    DOI: 10.1016/j.proeng.2017.09.221
  • Beer, M.; Feng, G.; Patelli, E.; Broggi, M.; Coolen, F.P.A. (2016): Reliability Assessment of Systems with Limited InformationKim, S.-H.; Kong, J.S. (eds.): Proceedings of the 5th International Symposium on Reliability Engineering and Risk Management (ISRERM2016), Yonsei University, Seoul, Korea, 19-22.
  • Domenico Altieri; Enrico Tubaldi; Matteo Broggi; Edoardo Patelli (2016): Reliability-based methodology for the optimal design of viscous dampers14th International Probabilistic Workshop, Ghent, Belgium, December 2016.
  • Michael Beer; Ioannis A. Kougioumtzoglou; Edoardo Patelli; Matteo Broggi (2016): Dealing with vague and limited information in uncertainty quantification7th International Workshop on Reliable Engineering Computing (REC2016) June 15-17, 2016, Ruhr University Bochum, Germany.
  • Broggi, M.; Rocchetta, R.; Patelli, E. (2015): Efficient epistemic-aleatory uncertainty quantification application to the nafems challenge problemNAFEMS World Congress 2015, San Diego, California.
  • John Mottershead; Matteo Broggi; Herbert Martins Gomes; Yves Govers; Hamed Haddad Khodaparast; Michael Link; Edoardo Patelli; Tiago A N Silva (2015): Perspectives on model updatingInternational Conference on Structural Engineering Dynamics (ICEDyn 2015), 3-5 July 2015; Logos, Portugal.
  • Matteo Broggi; Edoardo Patelli; Hamed Haddad Khodaparast (2015): Bayesian model updating of the DLR AIRMOD test structure1st ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering, 25-27 May 2015, Crete Island, Greece.
  • Patelli, E.; Broggi, M. (2015): Uncertainty management and resilient design of safety critical systemsNAFEMS World Congress 2015, San Diego, California.
  • Rocchetta, R.; Broggi, M.; Patelli, E.; Huchet, Q. (2015): Likelihoods Comparison in a Bayesian Updating Procedure for Fatigue Crack DetectionSafety and Reliability of Complex Engineered Systems: ESREL 2015 7-10 September 2015, Zurich, Switzerland.
  • Tolo, S.; Patelli, E.; Beer, M.; Broggi, M. (2015): Enhanced Bayesian Networks approach to risk assessment of spent fuel pondsInternational Conference on Applications of Statistics and Probability in Civil Engineering.
  • Trefolini, E.; Tolo, S.; Patelli, E.; Broggi, M.; Disperati, L.; Le Tuan, H. (2015): Uncertainty on shallow landslide hazard assessment: from field data to hazard mappingEuropean Geosciences Union, General Assembly, Vienna.
  • Beaurepaire, P.; Broggi, M.; Patelli, E. (2014): Computation of the Sobol'Indices using Importance SamplingSecond International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty Modeling and Analysis (ISUMA), 13-16 July 2014, Liverpool; UK.
  • Gomes, H. M.; Broggi, M.; Patelli, E.; Mottershead, J. E. (2014): Model Updating by Uncertain Parameter InferenceSecond International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty Modeling and Analysis (ISUMA), 13-16 July 2014, Liverpool; UK.
  • Patelli, E.; Alvarez, D. A.; Broggi, M.; de Angelis, M. (2014): An integrated and efficient numerical framework for uncertainty quantification: application to the NASA Langley multidisciplinary Uncertainty Quantification Challenge16th AIAA Non-Deterministic Approaches Conference (SciTech 2014), Maryland.
  • Patelli, E.; Broggi, M.; de Angelis, M.; Beer, M. (2014): OpenCossan: An efficient open tool for dealing with epistemic and aleatory uncertaintiesSecond International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty Modeling and Analysis (ISUMA), Liverpool, UK.
  • Tubaldi, E.; Dall'Asta, A.; Broggi, M.; Patelli, E.; de Angelis, M. (2014): Reliability-Based Design of Fluid Viscous Damper for Seismic Protection of Building FramesSecond International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty Modeling and Analysis (ISUMA), 13-16 July 2014, Liverpool; UK
  • Broggi, M.; Beaurepaire, P.; Patelli, E. (2013): A Bayesian Framework for Crack Detection in Structural Components Under Dynamic ExcitationPrognostics and System Health Management Conference PHM-2013, Milan, Italy.
  • Patelli, E.; Broggi, M. (2013): Sensitivity analysis of the effect of the efficient uncertainty in large Finite Element modelsNAFEMS World Congress 2013, Salzburg, Austria.
  • Patelli, E.; Broggi, M.; Beaurepaire, P. (2013): A bayesian model updating procedure for dynamic health monitoring4th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2013).
  • B. Goller; M. Broggi; A. Calvi; G.I. Schuëller (2011): Efficient model updating of the GOCE satellite based on experimental modal data3rd International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2011), 26-28 May 2011, Island of Corfu, Greece
  • Matteo Broggi; Gerhart I. Schuëller (2010): Accurate prediction of the statistical deviations of the buckling load of imperfect CFRP cylindrical shellsIV European Conference on Computational Mechanics, May 17 - 21, 2010; Paris, France.
  • Patelli, E.; Schuëller, G. I.; Pradlwarter, H. J.; Valdebenito, M. A.; Panayirci, H. M.; Goller, B.; Broggi, M.; Beaurepaire, P. (2010): COSSAN-X: A general purpose code for computational stochastic structural analysisIV European Conference on Computational Mechanics, Paris, France, EU, Paris.
  • M. Broggi; A. Calvi; G.I. Schuëller (2009): Reliability-based knock-down factor for axially compressed composite cylindrical shells with random imperfectionsECSSMMT 2009 - 11th European Conference on Spacecraft Structures, Materials and Mechanical Testing, 15-17 Sep 2009, Toulouse, France.
  • Zio, E.; Broggi, M.; Golea, L.; Pedroni, N. (2008): Predicting Reliability by Recurrent Neural Networks8th World Congress on Computational Mechanics (WCCM8) – 5th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2008), Venice, Italy.
  • Zio, E.; Pedroni, N.; Broggi, M.; Golea, L. (2008): Locally recurrent neural networks for nuclear dynamics modelingFLINS-The 8th International FLINS Conference on Computational Intelligence in Decision and Control, Madrid, Spain.