Matteo Broggi
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View article: Stochastic dynamic response analysis via dimension-reduced probability density evolution equation (DR-PDEE) with enhanced tail-accuracy
Stochastic dynamic response analysis via dimension-reduced probability density evolution equation (DR-PDEE) with enhanced tail-accuracy Open
View article: UncertaintyQuantification.jl: Efficient Reliability Analysis Powered by Julia
UncertaintyQuantification.jl: Efficient Reliability Analysis Powered by Julia Open
View article: Bayesian Updating for Reliability with Imprecise Probabilities: Julia Implementation and Application to the NASA Langley UQ Challenge 2019
Bayesian Updating for Reliability with Imprecise Probabilities: Julia Implementation and Application to the NASA Langley UQ Challenge 2019 Open
View article: Taking on the NASA and DNV Challenge 2025: Bayesian Calibration and Optimization Under Hybrid Uncertainty
Taking on the NASA and DNV Challenge 2025: Bayesian Calibration and Optimization Under Hybrid Uncertainty Open
View article: Resilience-Based Decision Criteria for Optimal Regeneration
Resilience-Based Decision Criteria for Optimal Regeneration Open
Complex capital goods, such as jet engines, are critical to the functioning of modern societies. These sys- tems are exposed to various threats that cannot be prevented entirely. Thus, the concept of resilience – encompassing reliability a…
View article: Transport Map Coupling Filter for State-Parameter Estimation
Transport Map Coupling Filter for State-Parameter Estimation Open
Many dynamical systems are subjected to stochastic influences, such as random excitations, noise, and unmodeled behavior. Tracking the system's state and parameters based on a physical model is a common task for which filtering algorithms,…
View article: How to Be Certain: Using Known Relations and Trust Discount to Determine Confidence About the Degree of Uncertainty
How to Be Certain: Using Known Relations and Trust Discount to Determine Confidence About the Degree of Uncertainty Open
Ensuring certainty in the rapidly evolving digital twin environments amidst inherent uncertainty is paramount in decision-making for critical engineering systems. This paper presents a novel approach for quantifying and tracking confidence…
View article: Efficient time-dependent reliability analysis for a railway bridge model
Efficient time-dependent reliability analysis for a railway bridge model Open
This paper proposes a framework for efficient time-dependent reliability analysis for a parametrized stochastic dynamic system, namely a train bridge load model with uncertain design properties. The Probability Density Evolution Method is …
View article: Estimation of Response Expectation Bounds under Parametric P-Boxes by Combining Bayesian Global Optimization with Unscented Transform
Estimation of Response Expectation Bounds under Parametric P-Boxes by Combining Bayesian Global Optimization with Unscented Transform Open
In engineering analysis, propagating parametric probability boxes (p-boxes) remains a challenge because a computationally expensive nested solution scheme is involved. To tackle this challenge, this paper proposes a novel optimization-inte…
View article: Prognostic of Lithium-Ion Batteries Using a Combination of Physical Modelling and Hybrid Multi-Layer Perceptron Particle Filter
Prognostic of Lithium-Ion Batteries Using a Combination of Physical Modelling and Hybrid Multi-Layer Perceptron Particle Filter Open
View article: Uncertainties and robustness with regard to the safety of a repository for high-level radioactive waste: introduction of a research initiative
Uncertainties and robustness with regard to the safety of a repository for high-level radioactive waste: introduction of a research initiative Open
The Federal Company for Radioactive Waste Disposal (BGE mbH) is tasked with the selection of a site for a high-level radioactive waste repository in Germany in accordance with the Repository Site Selection Act. In September 2020, 90 areas …
View article: Prognostic of Lithium-Ion Batteries Using a Combination of Physical Modelling and Hybrid Multi-Layer Perceptron Particle Filter
Prognostic of Lithium-Ion Batteries Using a Combination of Physical Modelling and Hybrid Multi-Layer Perceptron Particle Filter Open
View article: Prognostic of Lithium-Ion Batteries Using a Combination of Physical Modelling and Hybrid Multi-Layer Perceptron Particle Filter
Prognostic of Lithium-Ion Batteries Using a Combination of Physical Modelling and Hybrid Multi-Layer Perceptron Particle Filter Open
View article: Stochastic Model Updating Through Sliced-Normal Maps
Stochastic Model Updating Through Sliced-Normal Maps Open
View article: Efficient slope reliability analysis under soil spatial variability using maximum entropy distribution with fractional moments
Efficient slope reliability analysis under soil spatial variability using maximum entropy distribution with fractional moments Open
View article: Grey-box Approach for the Prognostic and Health Management of Lithium-Ion Batteries
Grey-box Approach for the Prognostic and Health Management of Lithium-Ion Batteries Open
The Lithium-Ion Batteries (LIB) industry is rapidly growing and is expected to continue expanding exponentially in the next decade. LIBs are already widely used in everyday life, and their demand is expected to increase further, particular…
View article: Efficient posterior estimation for stochastic SHM using transport maps
Efficient posterior estimation for stochastic SHM using transport maps Open
Accurate parameter estimation is a challenging task that demands realistic models and algorithms to obtain the parameter’s probability distributions. The Bayesian theorem in conjunction with sampling methods proved to be invaluable here si…
View article: Transport map Bayesian parameter estimation for dynamical systems
Transport map Bayesian parameter estimation for dynamical systems Open
Accurate online state and parameter estimation of uncertain non‐linear dynamical systems is a demanding task that has been traditionally handled by adopting non‐linear Kalman Filters or particle filters. However, in case of Kalman filters …
View article: Risk-based Assessment of Salt Domes as Disposal Sites for Nuclear Waste: Uncertainty of Groundwater Age in the Salt Dome Problem
Risk-based Assessment of Salt Domes as Disposal Sites for Nuclear Waste: Uncertainty of Groundwater Age in the Salt Dome Problem Open
Long-term safety has to be assured for the disposal of high-level nuclear waste to prevent contamination of the biosphere. A numerical framework for the probabilistic assessment of hazardous events regarding nuclear waste disposal in salt …
View article: A new scheme combining adaptive Kriging with adaptative variance-reduction using Gaussian mixture importance sampling
A new scheme combining adaptive Kriging with adaptative variance-reduction using Gaussian mixture importance sampling Open
This article describes a new adaptive Kriging method designed to alleviate the limitations of other related approaches encounter in cases of extremely rare failure events. The main idea is to iteratively reduce both surrogate modelling err…
View article: UNCERTAINTYQUANTIFICATION.JL: A NEW FRAMEWORK FOR UNCERTAINTY QUANTIFICATION IN JULIA
UNCERTAINTYQUANTIFICATION.JL: A NEW FRAMEWORK FOR UNCERTAINTY QUANTIFICATION IN JULIA Open
This work presents a new framework for uncertainty quantification developed as a package in the Julia programming language called UncertaintyQuantification.jl.Julia is a modern high-level dynamic programming language ideally suited for tas…
View article: Comparison of state of the art sampling-based Bayesian Updating techniques
Comparison of state of the art sampling-based Bayesian Updating techniques Open
Nowadays, model updating has an increasing importance in many areas of interest for engineering applications such as structural\nhealth monitoring or risk and reliability assessment. As a matter of fact, it allows for solving a plethora of…
View article: RESIDUAL SEISMIC PERFORMANCE ESTIMATION OF SEISMIC-ISOLATED BRIDGES BASED ON MODEL UPDATING USING APPROXIMATE BAYESIAN COMPUTATION
RESIDUAL SEISMIC PERFORMANCE ESTIMATION OF SEISMIC-ISOLATED BRIDGES BASED ON MODEL UPDATING USING APPROXIMATE BAYESIAN COMPUTATION Open
免震支承の経年劣化や地震による損傷は橋梁全体系の耐震性能の低下につながる恐れもあり,大規模地震後の免震橋梁の残存耐震性能評価はその後の運用方針を決めるうえで重要な判断材料となる.本研究では,地震応答観測に基づくモデル更新によって免震橋梁の残存耐震性能評価を行うために,近似ベイズ計算による近似尤度関数を設定し,BUSと適応型クリギングモデルを組み合わせた効率的なベイズ推定手法を構築した.そのうえで,免震支承の経年劣化を考慮した免震橋梁の解析モデルを対象に,提案手法によって免震…
View article: Bayesian Updating of Soil–Water Character Curve Parameters Based on the Monitor Data of a Large-Scale Landslide Model Experiment
Bayesian Updating of Soil–Water Character Curve Parameters Based on the Monitor Data of a Large-Scale Landslide Model Experiment Open
It is important to determine the soil–water characteristic curve (SWCC) for analyzing landslide seepage under varying hydrodynamic conditions. However, the SWCC exhibits high uncertainty due to the variability inherent in soil. To this end…
View article: EFFICIENT SEISMIC PERFORMANCE ESTIMATION METHOD BY SURROGATE MODELING BASED ON ADAPTIVE KRIGING AND MARKOV CHAIN MONTE CARLO
EFFICIENT SEISMIC PERFORMANCE ESTIMATION METHOD BY SURROGATE MODELING BASED ON ADAPTIVE KRIGING AND MARKOV CHAIN MONTE CARLO Open
既存橋梁の運用において,構造状態を反映した確率論的な耐震性能評価の重要性が認識されるようになり,効率的な構造信頼性解析手法の確立が必要となっている.本研究では,自動的に限界状態面近傍のサンプルを選択して代替モデルを構築する適応型クリギングと,破壊確率の算定に影響の大きい部分空間を段階的に絞り込むマルコフ連鎖モンテカルロ法を組み合わせることで,効率的に破壊確率を算定するAK-MCMC法について検討を行った.動的非線形問題への拡張を目的に,既往手法で構築した代替モデルを用いたS…
View article: Importance measure of probabilistic common cause failures under system hybrid uncertainty based on bayesian network
Importance measure of probabilistic common cause failures under system hybrid uncertainty based on bayesian network Open
When dealing with modern complex systems, the relationship existing between components can lead to the appearance of various dependencies between component failures, where multiple items of the system fail simultaneously in unpredictable f…
View article: SSCI 2019 Table of Contents
SSCI 2019 Table of Contents Open
View article: Estimation of failure probability in braced excavation using Bayesian networks with integrated model updating
Estimation of failure probability in braced excavation using Bayesian networks with integrated model updating Open
A probabilistic model is proposed that uses observation data to estimate failure probabilities during excavations. The model integrates a Bayesian network and distanced-based Bayesian model updating. In the network, the movement of a retai…
View article: Failure Analysis of Soil Slopes with Advanced Bayesian Networks
Failure Analysis of Soil Slopes with Advanced Bayesian Networks Open
To prevent catastrophic consequences of slope failure, it can be effective to have in advance a good understanding of the effect of both, internal and external triggering-factors on the slope stability. Herein we present an application of …
View article: Reliability Analysis of Networks Interconnected With Copulas
Reliability Analysis of Networks Interconnected With Copulas Open
With the increasing size and complexity of modern infrastructure networks rises the challenge of devising efficient and accurate methods for the reliability analysis of these systems. Special care must be taken in order to include any poss…