Published Codes

Code: Bayesian model updating tutorials

Data-set:

• Synthetic data-set to SDoF oscillator;

• Synthetic data-set to 2D Eigen-value problem; and

• Experimental data-set for SDoF single-storey structure under excitation with Coulomb friction.

Related Paper(s):

• Adolphus Lye, Alice Cicirello, and Edoardo Patelli (2021). Sampling methods for solving Bayesian model updating problems: A tutorial. Mechanical Systems and Signal Processing, 159, 107760. doi: 10.1016/j.ymssp.2021.107760

• Adolphus Lye, and Luca Marino (2023). An investigation into an alternative transition criterion of the Transitional Markov Chain Monte Carlo method for Bayesian model updating. In Proceedings of the 33rd European Safety and Reliability Conference, Southampton. doi: 10.3850/978-981-18-8071-1_P331-cd

Code: Transitional Ensemble Markov Chain Monte Carlo sampler

Data-set:

• Synthetic data-set to a 2DoF coupled oscillator; 

• Synthetic data-set to a multi-modal (4-peaked) posterior problem; and

• Experimental data-set for 2DoF shear-frame structure.

Related Paper(s):

• Adolphus Lye, Alice Cicirello, and Edoardo Patelli (2022). An efficient and robust sampler for Bayesian inference: Transitional Ensemble Markov Chain Monte Carlo. Mechanical Systems and Signal Processing, 167, 108471. doi: 10.1016/j.ymssp.2021.108471

Code: Sequential Ensemble Monte Carlo sampler

Data-set:

• Synthetic data-set to a 1D damped-oscillator; and

• Experimental data-set for SDoF single-storey structure under excitation with Coulomb friction.

Related Paper(s):

• Adolphus Lye, Luca Marino, Alice Cicirello, and Edoardo Patelli (2023). Sequential Ensemble Monte Carlo Sampler for On-Line Bayesian Inference of Time-Varying Parameter In Engineering Applications. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B: Mechanical Engineering, 9, 031202. doi: 10.1115/1.4056934

• Adolphus Lye, Alice Cicirello, and Edoardo Patelli (2023). On-line Bayesian Inference for Structural Health Monitoring using Sequential Ensemble Monte Carlo Sampler. In Proceedings of the 13th International Conference on Structural Safety and Reliability, Shanghai.

• Adolphus Lye, Alice Cicirello, and Edoardo Patelli (2022). On-line Bayesian Model Updating and Model Selection of a Piece-wise model for the Creep-growth rate prediction of a Nuclear component. In Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, Hannover. doi: 10.3850/978-981-18-5184-1_MS-02-208-cd

Code: Probabilistic Prediction of Material Properties 

Data-set:

• Experimental data-set for Creep rupture properties of different steel types;

• Experimental data-set for Tensile properties of different steel types; and

• Experimental data-set for Hardness properties of different steel types.

Related Paper(s):

• Adolphus Lye, Nawal Prinja, and Edoardo Patelli (2022). Probabilistic Artificial Intelligence Prediction of Material Properties for Nuclear Reactor Designs. In Proceedings of the 32nd European Safety and Reliability Conference, Dublin. doi: 10.3850/978-981-18-5183-4_S24-02-306-cd

Code: Approximate bayesian computation tutorials

Data-set:

• Experimental data-set for NASA-LaRC Uncertainty Quantification Challenge 2014; and

• Experimental data-set for Sandia thermal challenge problem 2008.

Related Paper(s):

• Adolphus Lye, Scott Ferson, Sicong Xiao (2024). Comparison between distance functions for Approximate Bayesian Computation towards Stochastic model updating and Model validation under limited data. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A: Civil Engineering, 10, 03124001. doi: 10.1061/AJRUA6.RUENG-1223

• Adolphus Lye, Scott Ferson, and Sicong Xiao (2024). Stochastic Model Updating Using Jenson-Shannon Divergence For Calibration And Validation Under Limited Data. In European Safety and Reliability Conference 2024 Monograph Book Series, Part 1: Accident and Incident Modelling & Uncertainty Analysis, Krakow. Link to paper: Click here

Code: Affine-invariant Ensemble sampler tutorials

Data-set:

• NIL

Related Paper(s):

• Jonathan Goodman and Jonathan Weare (2010). Ensemble Samplers with Affne Invariance. Communications in Applied Mathematics and Computational Science, 5, 65-80. doi: 10.2140/camcos.2010.5.65

Code: Computing with Confidence-boxes

Data-set:

• Experimental reliability data on the TRIGA nuclear research reactor by the Thailand Institute of Nuclear Technology.

Related Paper(s):

• Adolphus Lye, W. Vechgama, M. Sallak, S. Destercke, Scott Ferson, and Sicong Xiao (2025). Advances in the Reliability Analysis of Coherent Systems under Limited Data with Confidence Boxes. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A: Civil Engineering, 11, 04024074. doi: 10.1061/AJRUA6/RUENG-1380