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Matteo Broggi

Deputy Head

Leibniz University Hannover

Germany

Research Interests

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About

Matteo Broggi is the Deputy Head at Leibniz Universität Hannover in Germany. His research focuses on various areas including contaminant source identification in water distribution networks, seismic fragility analysis of structural systems, and reliability assessment of uncertain systems. He utilizes Bayesian frameworks and networks to address complex problems such as soil-water character curves and failure probabilities in engineering contexts.

Articles (21)

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2020

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2020

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GERMANY

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Sifeng BI

Lecturer

University of Southampton

UNITED KINGDOM

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Philipp Junker

Leibniz University Hannover

GERMANY

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Stefan Weber

Professor

Leibniz University Hannover

GERMANY

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Matteo Broggi

Research Interests

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Articles (21)

Stochastic model updating through Sliced-Normal maps

Bayesian Updating of constitutive parameters under hybrid uncertainties with a novel surrogate model applied to biofilms

Stochastic Assessment of Static Liquefaction and Slope Stability Using NORSAND and Random Fields

Enhanced Bayesian Network framework with imprecise probabilities for modelling degradation in concrete structures of radioactive waste disposals accounting for uncertainties due to climate change

Inoperability assessment of interdependent critical infrastructures exposed to natural hazards considering climate change

Unified Framework for Hybrid Aleatory and Epistemic Uncertainty Propagation via Decoupled Multi-Probability Density Evolution Method

Interval Fields for Geotechnical Engineering Uncertainty Analysis under Limited Data

Characterising the fatigue reliability of laser-powder bed fusion additively manufactured AlSi10Mg under random strain loads

Control Variates Method to Estimate Stochastic Buckling Loads

Bayesian Updating for Reliability with Imprecise Probabilities

Efficient confidence bound estimation for a dynamic composite plate with epistemic uncertainties using non-intrusive imprecise stochastic simulation

Stochastic dynamic response analysis via dimension-reduced probability density evolution equation (DR-PDEE) with enhanced tail-accuracy

An efficient Bayesian updating framework for characterizing the posterior failure probability

Resilience-Based Decision Criteria for Optimal Regeneration

Contaminant source identification in water distribution networks: A Bayesian framework

Seismic collapse fragility of low-rise steel moment frames with mass irregularity based on shaking table test

Resilience decision-making for complex systems

Bayesian Updating of Soil–Water Character Curve Parameters Based on the Monitor Data of a Large-Scale Landslide Model Experiment

Estimation of failure probability in braced excavation using Bayesian networks with integrated model updating

Reliability and importance analysis of uncertain system with common cause failures based on survival signature

Importance measure of probabilistic common cause failures under system hybrid uncertainty based on bayesian network,Oparta na sieci bayesowskiej miara ważności probabilistycznych uszkodzeń spowodowanych wspólną przyczyną w warunkach niepewności hybrydowej systemu

Collaborators (11)

Meisam Soleimani

Lukas Fritsch

Matthias Faes

Michael Beer

Yue HU

Sifeng BI

Philipp Junker

Stefan Weber

Enrico Zio

Vasileios Fragkoulis

Francesco Di Maio

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