Sifeng Bi
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View article: Data-driven stochastic model updating and damage detection with deep generative model
Data-driven stochastic model updating and damage detection with deep generative model Open
Is there a calibration algorithm beyond the dominant Bayesian sampling approach and sensitivity-based optimisation in model updating? Can a neural network serve not only as a surrogate model but also possess its own calibration capacity, i…
View article: Data-Driven Stochastic Model Updating with Diffusion Models
Data-Driven Stochastic Model Updating with Diffusion Models Open
View article: Spallation of Underground Rock Openings with Weak Planes in Surrounding Rock Mass Subjected to Dynamic Loading: An Analytical Investigation
Spallation of Underground Rock Openings with Weak Planes in Surrounding Rock Mass Subjected to Dynamic Loading: An Analytical Investigation Open
View article: Data-driven Model Updating Solution for the NASA and DNV Challenge 2025 on Optimisation under Uncertainty with Flow-based Neural Networks
Data-driven Model Updating Solution for the NASA and DNV Challenge 2025 on Optimisation under Uncertainty with Flow-based Neural Networks Open
View article: A Time-Sequence Bayesian Framework for Attitude Dynamics Model Calibration with Sparse Measurements
A Time-Sequence Bayesian Framework for Attitude Dynamics Model Calibration with Sparse Measurements Open
A precise spacecraft attitude dynamics model is essential for accurately predicting a satellite’s orientation in orbit, with such predictions being centerpiece to mission safety, operational control, and long-term risk management. However,…
View article: A Stochastic Bayesian Calibration Framework for Digital Twin Based Prediction of Lithium-Ion Battery Ageing
A Stochastic Bayesian Calibration Framework for Digital Twin Based Prediction of Lithium-Ion Battery Ageing Open
View article: Game Strategy Prediction for Spacecraft Orbital Pursuit–Evasion Game Based on Long Short-Term Memory
Game Strategy Prediction for Spacecraft Orbital Pursuit–Evasion Game Based on Long Short-Term Memory Open
This paper presents a strategy prediction frame for multi-player orbital pursuit–evasion game that is based on discount receding horizon coevolution (DRH-CE). The proposed frame aims to enable spacecraft to indirectly characterize the targ…
View article: Quantile Time-Frequency Connectedness between Carbon Emissions, Traditional and New Energy: Evidence from COVID-19 and the Russia-Ukraine Conflict
Quantile Time-Frequency Connectedness between Carbon Emissions, Traditional and New Energy: Evidence from COVID-19 and the Russia-Ukraine Conflict Open
This study investigates the spillover effects associated with diverse market conditions in energy and carbon markets, encompassing both new and traditional energy sectors. Using a quantile vector autoregression approach, this research expl…
View article: Modelling and Experimental Verification of the Internal Ballistics Trajectories in Gas Combustion Explosion Ejections
Modelling and Experimental Verification of the Internal Ballistics Trajectories in Gas Combustion Explosion Ejections Open
The internal ballistic process and flow field were examined in the context of the launch of hydrogen-oxygen bipropellant explosives. This was achieved through the establishment of an internal ballistic launch model, which employed the high…
View article: Environmental life cycle assessment of reusable launch vehicle fleets: Large climate impact driven by rocket exhaust emissions
Environmental life cycle assessment of reusable launch vehicle fleets: Large climate impact driven by rocket exhaust emissions Open
After the success of the reusable Falcon 9 rocket, space actors are pursuing competitive space access by developing Reusable Launch Vehicles (RLVs). While this initiative may enhance recycling rates, it may also trigger the Jevons’ paradox…
View article: Data-Driven Stochastic Model Updating and Damage Detection with Deep Generative Model
Data-Driven Stochastic Model Updating and Damage Detection with Deep Generative Model Open
View article: Overview and Key Technology of the Membrane Drag Sail for Low Earth Orbit Satellite Deorbit
Overview and Key Technology of the Membrane Drag Sail for Low Earth Orbit Satellite Deorbit Open
With the escalating frequency of space activities, particularly the launch of constellation satellites, the amount of space debris experienced gradually increases, posing threats to the safety and sustainability of the space environment. T…
View article: Quantile Time-Frequency Connectedness between Carbon Emissions, Traditional and New Energy:Evidence from Covid-19 and the Russia-Ukraine Conflict
Quantile Time-Frequency Connectedness between Carbon Emissions, Traditional and New Energy:Evidence from Covid-19 and the Russia-Ukraine Conflict Open
View article: Stochastic Model Updating with Uncertainty Quantification: An Overview and Tutorial
Stochastic Model Updating with Uncertainty Quantification: An Overview and Tutorial Open
View article: Special Section on Uncertainty Quantification and Management in Nonlinear Dynamical Systems in Aerospace and Mechanical Engineering
Special Section on Uncertainty Quantification and Management in Nonlinear Dynamical Systems in Aerospace and Mechanical Engineering Open
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright h…
View article: Distribution-free stochastic model updating with staircase density functions
Distribution-free stochastic model updating with staircase density functions Open
In stochastic model updating, hybrid uncertainties are typically characterized by the distributional p-box. It assigns a certain probability distribution to model parameters and assumes its hyper-parameters as interval values. Thus, regard…
View article: A COMPARISON OF SAMPLING-BASED BAYESIAN MODEL UPDATING APPROACHES APPLIED UPON A NEW BENCHMARK AEROSPACE TESTBED
A COMPARISON OF SAMPLING-BASED BAYESIAN MODEL UPDATING APPROACHES APPLIED UPON A NEW BENCHMARK AEROSPACE TESTBED Open
Efforts to correlate numerical models to the results of experimental data requires the use of model updating techniques.While deterministic methods are well established, new developments in stochastic methods seek to update models when unc…
View article: Stochastic Model Updating with Uncertainty Quantification: An Overview and Tutorial
Stochastic Model Updating with Uncertainty Quantification: An Overview and Tutorial Open
View article: Physics-Informed Neural Network for Online State of Health Estimation of Lithiumion Batteries
Physics-Informed Neural Network for Online State of Health Estimation of Lithiumion Batteries Open
View article: Uncertainty in Engineering
Uncertainty in Engineering Open
This open access book provides an introduction to uncertainty quantification in engineering. Starting with preliminaries on Bayesian statistics and Monte Carlo methods, followed by material on imprecise probabilities, it then focuses on rel…
View article: Overview of Stochastic Model Updating in Aerospace Application Under Uncertainty Treatment
Overview of Stochastic Model Updating in Aerospace Application Under Uncertainty Treatment Open
This chapter presents the technique route of model updating in the presence of imprecise probabilities. The emphasis is put on the inevitable uncertainties, in both numerical simulations and experimental measurements, leading the updating …
View article: Study of the Aerodynamic Characteristics on the Computed Flowfield During Thrust Reversers Operation
Study of the Aerodynamic Characteristics on the Computed Flowfield During Thrust Reversers Operation Open
With the increasing of the bypass ratio of modern aero-engines, the problem of wing-engine interference is more prominent, especially for the layout design of engine nacelle. The reverse thrust cascade is widely used in turbofan engines wi…
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: Special Section on Uncertainty Management in Complex Multiphysics Structural Dynamics
Special Section on Uncertainty Management in Complex Multiphysics Structural Dynamics Open
International audience
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: Rare failure event analysis of structures under mixed uncertainties
Rare failure event analysis of structures under mixed uncertainties Open
Two challenges may exist in the reliability analysis of highly reliable structures in, e.g., aerospace engineering. The first one is that, the failure probability may be extremely small (typically, smaller than 1e-6), which commonly preven…
View article: Virtual decoupling of vibroacoustical systems
Virtual decoupling of vibroacoustical systems Open
View article: Identification of reduced and uncoupled models in vibroacoustical experimental modal analysis
Identification of reduced and uncoupled models in vibroacoustical experimental modal analysis Open
International audience