Publications of the Data, Vibration and Uncertainty group (since 2018)
Publications of the Data, Vibration and Uncertainty group (since 2018)
Embedded Files
Some recent posters
Matthew_Proj_Poster_revised_28Nov2024_MAHv2.pdfNeurIPS @ Cambridge, 6/12/24
Research publications
(some of the) Papers under review, available in pre-print:
Hendricks M.A. , Cicirello A., Text to model via SysML: Automated generation of dynamical system computational models from unstructured natural language text via enhanced System Modeling Language diagrams
Arxiv: https://arxiv.org/abs/2507.06803
The code and data: https://github.com/Idealistmatthew/IIBProj_Text2CompModelSibille L., Nord T. S. , Cicirello A., Digital twin for virtual sensing of ferry quays via a Gaussian Process Latent Force Model.
Preprint: https://arxiv.org/abs/2506.14925Koune I., Cicirello A., Adversarial Disentanglement by Backpropagation with Physics-Informed Variational Autoencoder.
Preprint: https://arxiv.org/abs/2506.13658
The code and data (generated via the synthetic use cases): https://github.com/JanKoune/DPI-VAE.
Journal papers
Journal papers
2025
Igea F., Cicirello A., An interacting Wasserstein gradient flow strategy to robust Bayesian inference for application to decision-making in engineering, Data-Centric Engineering, 2025.
Open access: https://doi.org/10.1017/dce.2025.8Kamariotis A, Vlachas K., Dertimanis V., Koune I., Cicirello A., Chatzi E., On the consistent classification and treatment of uncertainties in Structural Health Monitoring applications, ASME J. Risk Uncertainty Part B, 2025.
https://doi.org/10.1115/1.4067140
2024
Van Belle L, Deckers E., Cicirello A., Investigating and exploiting the impact of variability in resonator parameters on the vibration attenuation in locally resonant metamaterials, Royal Society Interface, 2024.
https://royalsocietypublishing.org/doi/10.1098/rsta.2023.0364Lathourakis C., Cicirello, A., Physics Enhanced Sparse Identification of Dynamical Systems with Discontinuous Nonlinearities. Nonlinear Dynamics, 2024.
Open access: https://doi.org/10.1007/s11071-024-09652-2
Codes and experimental dataset available: https://github.com/xristosl0610/PhI-SINDy
Editor's Choice Articles of the July issue (Vol 112 - Issue 13) - paper available open access!
Top 10 most downloaded paper during 2024 in Nonlinear DynamicsC Dang, A Cicirello, MA Valdebenito, MGR Faes, P Wei, M Beer, Structural reliability analysis with extremely small failure probabilities: A Quasi-Bayesian active learning method, Probabilistic Engineering Mechanics, 2024.
https://doi.org/10.1016/j.probengmech.2024.103613
2023
J Yuan, E Denimal, S Bi, J Feng, Q Hu, A Cicirello, Special Section on Uncertainty Quantification and Management in Nonlinear Dynamical Systems in Aerospace and Mechanical Engineering, ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg 9 (4), 2023.
https://doi.org/10.1115/1.4063301Koune I., Rozsas A.., Slobbe A., Cicirello A., Bayesian system identification for structures considering spatial and temporal correlation. Data-Centric Engineering, 2023.
Open access: https://doi.org/10.1017/dce.2023.18
Codes available: https://github.com/JanKoune/tripyWu J., Miller T. E., Cicirello A., Mortimer B., Spider dynamics under vertical vibration and its implications for biological vibration sensing, Royal Society Interface, 2023.
Open access: https://doi.org/10.1098/rsif.2023.0365
Codes and experimental dataset available hereMahajan S., Cicirello A, Governing Equation identification of nonlinear single degree of freedom oscillators with Coulomb friction using explicit stick and slip temporal constraint, ASME J. Risk Uncertainty Part B, 2023.
https://doi.org/10.1115/1.4063070Marino L., Cicirello A., A switching Gaussian process latent force model for the identification of mechanical systems with a discontinuous nonlinearity, Data-Centric Engineering, 2023.
Open access: https://doi.org/10.1017/dce.2023.12
Codes and experimental dataset available: https://github.com/l-marino/switching-GPLFMZou J., Lourens E., Cicirello A., Virtual sensing of subsoil strain response in monopile-based offshore wind turbines via Gaussian process latent force models, Mechanical System and Signal Processing, 2023.
https://doi.org/10.1016/j.ymssp.2023.110488
Codes available: https://github.com/joannajzou/GPLFMLye A., Marino L., Cicirello, A, Patelli E., Sequential Ensemble Monte Carlo sampler for on-line Bayesian inference of time-varying model parameters in engineering applications, ASME J. Risk Uncertainty Part B, 2023.
https://doi.org/10.1115/1.4056934
Dataset and codes used available on Github: https://github.com/Adolphus8/Sequential_Ensemble_Monte_CarloZhong S., Scarinci A., Cicirello A., Natural Language Processing for Systems Engineering: Automatic Generation of Systems Modelling Language Diagrams, Knowledge-Based Systems, 2023.
Open access: https://doi.org/10.1016/j.knosys.2022.110071
Dataset used available on Github: https://github.com/mvulab/NLP-for-Systems-EngineeringIgea F., Cicirello A., Cyclical Variational Bayes Monte Carlo for Efficient Multi-Modal Posterior Distributions Evaluation, Mechanical System and Signal Processing, 2023.
Open access: https://doi.org/10.1016/j.ymssp.2022.109868
2022
Cabboi, A., Marino, L., Cicirello, A., A comparative study between Amontons-Coulomb and Dieterich-Ruina friction laws for the cyclic response of a single degree of freedom system, European Journal of Mechanics A - Solids, 2022.
Open access: https://doi.org/10.1016/j.euromechsol.2022.104737Marino L., Cicirello A., Coulomb friction effect on the forced vibration of damped mass-spring systems, Journal of Sound and Vibration, 2022.
Open access: https://doi.org/10.1016/j.jsv.2022.117085Igea F., Chatzis M.N.., Cicirello A., On the Combination of Random Matrix Theory with Measurements On a Single Structure. ASME J. Risk Uncertainty Part B, 2022.
https://doi.org/10.1115/1.4054172Cicirello A., Giunta F., Machine Learning based optimization for interval uncertainty propagation. Mechanical System and Signal Processing, 2022.
Open access: https://doi.org/10.1016/j.ymssp.2021.108619Lye A., Cicirello A., Patelli E., An efficient and robust sampler for Bayesian inference: Transitional Ensemble Markov Chain Monte Carlo, Mechanical System and Signal Processing, 2022.
https://doi.org/10.1016/j.ymssp.2021.108471
Matlab codes available here
2021
Marino L., Cicirello A., Dynamic response of multi-degree-of-freedom systems with a Coulomb friction contact under harmonic excitation, Nonlinear Dynamics, 2021.
Open access: https://doi.org/10.1007/s11071-021-06966-3
Top 50 most downloaded paper during 2021-22 in Nonlinear DynamicsMarino L., Cicirello A., Multi-degree-of-freedom systems with a Coulomb friction contact: analytical boundaries of motion regimes, Nonlinear Dynamics, 2021.
Open access: https://doi.org/10.1007/s11071-021-06278-6
Top 50 most downloaded paper during 2021-22 in Nonlinear DynamicsLye A., Cicirello A., Patelli E., Sampling Methods for solving Bayesian Model Updating Problems: A Tutorial, Mechanical System and Signal Processing, 2021.
https://doi.org/10.1016/j.ymssp.2021.107760
Full text (preprint) freely available here
Matlab codes available here
2020
Cicirello A., Mace, B., Kingan, M. Yang, Y., Sensitivity analysis of generalised eigenproblems and application to wave and finite element models, Journal of Sound and Vibration, 2020.
Open access: https://doi.org/10.1016/j.jsv.2020.115345Marino L., Cicirello A., Experimental investigation of a single-degree-of-freedom system with Coulomb friction, Nonlinear Dynamics 99, 1781–1799, 2020.
Open access: https://doi.org/10.1007/s11071-019-05443-2
Top 10 most downloaded paper during 2020 in Nonlinear Dynamics
Top 10 most downloaded paper during 2021 in Nonlinear Dynamics
Top 50 most downloaded paper during 2021-22 in Nonlinear DynamicsIgea F., Cicirello A., Part-to-part variability assessment of material properties for flat thin orthotropic rectangular panels using Chladni patterns, Mechanical System and Signal Processing, 2020 .
https://doi.org/10.1016/j.ymssp.2019.106559Riddoch D.J., Cicirello A, Hills,D.A., Response of a mass-spring system subject to Coulomb damping and harmonic base excitation, International Journal of Solids and Structures, 2020 .
https://doi.org/10.1016/j.ijsolstr.2020.02.037
2019
Cicirello A. On the response bounds of damaged Euler-Bernoulli beams with switching cracks under moving masses. International Journal of Solids and Structures, 2019. https://doi.org/10.1016/j.ijsolstr.2019.05.003
Davranoglou L-R., Cicirello A., Taylor G.K., Mortimer B., Response to “On the evolution of the tymbalian tymbal organ: Comment on “Planthopper bugs use a fast, cyclic elastic recoil mechanism for effective vibrational communication at small body size”. Cicadina 18, 17-26, 2019
Marino L., Cicirello A., Hills D.A., Displacement transmissibility of a Coulomb friction oscillator subject to joined base-wall motion, Nonlinear Dynamics 98, 2595–2612, 2019.
Open access: https://doi.org/10.1007/s11071-019-04983-x
Top 10 most downloaded paper during 2020 in Nonlinear Dynamics
Top 10 most downloaded paper during 2021 in Nonlinear Dynamics
Top 50 most downloaded paper during 2021-22 in Nonlinear DynamicsDavranoglou L-R., Cicirello A., Taylor G.K., Mortimer B., Planthopper bugs use a fast, cyclic elastic recoil mechanism for effective vibrational communication at small body size. PLoS Biology, 2019.
https://doi.org/10.1371/journal.pbio.3000155Giunta F., Cicirello A., On the analysis of jointed Euler-Bernoulli beams with step changes in material and cross-section under static and dynamic loads, Engineering Structures, 2019.
https://doi.org/10.1016/j.engstruct.2018.10.036
2018
Cicirello, A. and Langley, R.S. Probabilistic assessment of performance under uncertain information using a generalised maximum entropy principle, Probabilistic Engineering Mechanics, 2018.
https://doi.org/10.1016/j.probengmech.2017.07.006Langley, R.S. and Cicirello, A. and Deckers, E., The effect of generalized force correlations on the response statistics of a harmonically driven random system. Journal of Sound and Vibration, 2018.
https://doi.org/10.1016/j.jsv.2017.08.011
(Some of the) Papers in conference proceedings
2025
Sibille L., Nord T. S. , Le B. T. , Siedziako B., Cicirello A. , “Structural Health Monitoring of a Ferry Quay: Instrumentation and Impact of Tidal Levels on Modal Parameters”, Proceedings of the 2025 Annual Conference on Experimental and Applied Mechanics, 2025, Orlando, Florida, US.
2024
Cicirello A., Physics-Enhanced Machine Learning: a position paper for dynamical systems investigations, 2024 J. Phys.: Conf. Ser. 2909 012034, XIVth International Conference on Recent Advances in Structural Dynamics 01/07/2024 - 03/07/2024 Southampton, United Kingdom. https://iopscience.iop.org/article/10.1088/1742-6596/2909/1/012034
Cicirello A., Machine Learning enabled combined parametric and non-parametric uncertainty quantification in vibro-acoustics, Proceedings of the International Conferences on Noise and Vibration Engineering (ISMA 2024) and of Uncertainty in Structural Dynamics (USD), ISMA2024-USD2024, September 2024., Leuven, Belgium.
Marafini F., Zini G., Barontini A., Betti M., Bartoli G., Mendes N., Cicirello, A., REVIEW AND CHALLENGES FOR A REALISTIC NUMERICAL SHM BENCHMARK, The 9th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2024, 3 – 7 June 2024, Lisboa, Portugal.
Koune I., Cicirello A., Disentangled representation learning with physics-informed variational autoencoder for structural health monitoring. EWSHM 2024 - available here
2023
Marafini F., Zini G., Barontini A., Monchetti S., Betti M., Bartoli G., Mendes N., Cicirello, A., Investigation of modal damage-sensitive features of a scaled three-storey steel frame for vibration-based damage detection, EURODYN23, XII International Conference on Structural Dynamics, Delft, Netherlands, July 3-5, 2023. available here
Lathourakis C., Cicirello, A., Physics Enhanced Sparse Identification of Nonlinear Oscillator with Coulomb Friction, NODYCON2023 (Third International Nonlinear Dynamics Conference), Rome, 18th-22nd June 2023.
https://link.springer.com/chapter/10.1007/978-3-031-50635-2_47Lathourakis C., Andriotis C., Cicirello, A., Inference and Maintenance Planning of Monitored Structures through Markov Chain Monte Carlo and Deep Reinforcement Learning, 14th International Conference of Application of Statistics and Probability in Civil Engineering (ICASP14), Dublin, 9th-13th July 2023. available here
2022
Cicirello A., Van Belle L, Igea F., Deckers E., A Machine Learning optimization approach for the assessment of the robustness of a design solution with application to vibration mitigation solutions, Proceedings of the International Conference on Noise and Vibration Engineering (ISMA 2022), Leuven, Belgium, 2022.
Van Belle L, Igea F., Claeys C. Deckers E., Cicirello A., Performance bounds prediction of the vibration attenuation in locally resonant metamaterial beams due to uncertain resonator parameters, Proceedings of the International Conference on Noise and Vibration Engineering (ISMA 2022), Leuven, Belgium, 2022.
Cicirello A. Propagation of Imprecise Probability descriptions via machine learning based optimization for robust reliability analysis. In: International Symposium on Reliability Engineering and Risk Management 2022, Hannover, Germany, 2022.
Lye A, Cicirello A. Patelli E., On-line Bayesian Model Updating and Model Selection of a Piece-wise model for the Creep-growth rate prediction of a Nuclear component. In: International Symposium on Reliability Engineering and Risk Management 2022, 2022-09-04 - 2022-09-07, Hannover, Germany, 2022.
Oncescu A-M., Cicirello A., A self-supervised classification algorithm for sensor fault identification for robust Structural Health Monitoring, 10th European Workshop on Structural Health Monitoring (EWSHM 2022), Palermo, Italy, 2022.
https://doi.org/10.1007/978-3-031-07254-3_57
Dataset used available on Github : https://github.com/oncescuandreea/Real-time-failure-detectionZou J. , Cicirello A., Iliopoulos A., Lourens E., Gaussian Process latent force models for virtual sensing in monopile-based offshore wind turbines, 10th European Workshop on Structural Health Monitoring (EWSHM 2022), Palermo, Italy, 2022.
https://doi.org/10.1007/978-3-031-07254-3_29
2021
Oncescu A-M., Cicirello A., Sensor Fault Label Identification for Robust Structural Health Monitoring. Proceedings of the 4th ECCOMAS thematic conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2021), 2021.
Dataset used available on Github : https://github.com/oncescuandreea/Real-time-failure-detectionIgea F., Chatzis M.N.., Cicirello A., Structural Model Updating Using Variational Inference, Structural Health Monitoring 2021, Enabling Next-Generation SHM For Cyber-Physical Systems, 2021.
Igea F., Chatzis M.N.., Cicirello A., On the investigation of Utility functions on Optimal Sensor Location. Proceedings of the 4th ECCOMAS thematic conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2021), 2021.
2020
Lye A, Cicirello A. Patelli E. Bayesian Model Updating of Reliability Parameters using Transitional Markov Chain Monte Carlo with Slice Sampling , Proceedings of the 30th European Safety and Reliability Conference.
2019
Lye A, Cicirello A. Patelli E., A Review of Stochastic Sampling Methods for Bayesian Inference Problems, Proceedings of the 29th European Safety and Reliability Conference
Cicirello A. , Mace B., Sensitivity analysis of generalised eigenproblems and application to wave and finite element models, XIIIth International Conference on Recent Advances in Structural Dynamics (RASD2019)
2018
Kudal A., Cicirello A., Constrained Layer Damping Treatment: Analysis of multi-strip application on thin plates. Journal of Physics: Conference Series, International Conference on Modern Practice in Stress and Vibration Analysis (MPSVA 2018), 2018.
Igea F., Cicirello A., A vibro-acoustic quality control approach for the elastic properties characterisation of thin orthotropic plates. Journal of Physics: Conference Series, International Conference on Modern Practice in Stress and Vibration Analysis (MPSVA 2018), 2018.
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