In May of this year, we celebrated a significant milestone within Enhance: the outstanding accomplishment of the ESR Tianzhi Li, who successfully defended his doctoral thesis with the title “Particle Filter-Based Damage Prognosis in Engineering Structures Subjected to Fatigue Loading” at Politecnico Di Milano, under the guidance of his dedicated supervisors, Dr. Francesco Cadini and Dr. Claudio Sbarufatti.

Tianzhi Li is a highly talented engineer and researcher who has consistently demonstrated a deep passion for advancing the field of structural health monitoring. His expertise in particle filter-based approaches for damage prognosis is reshaping how we approach fatigue analysis in engineering structures.

We continue to be excited about the positive changes that Dr. Li’s work is bringing to the broader field of structural engineering. The impact of his achievement and the collaborative effort behind it within the Enhance project is still resonating with us today. 


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Final meeting of ENHAnCE

Final meeting of ENHAnCE on the 25th June 2024 We are happy to announce the successful conclusion of the H2020 MSCA ITN project ENHAnCE, the


code D5.2  : Code related to the Integration of communications and SHM data (demonstrator, Deliverable 5.2)  code D3.3 :  Computational platform (Open Access) for computing


Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials. Particle filter-based hybrid damage prognosis considering measurement bias. Reduction of

Public Deliverables

Download here our public deliverables and demonstrators from ENHAnCE: D-8.9.-End of Year 3 Summary Report & ENHAnCE achievements-ENHAnCE D-8.11-Potential inputs for policy feedback