Best Researcher Award
Michele Angiolilli— Gran Sasso Science Institute, Italy
Michele Angiolilli is a civil and structural engineering researcher whose documented work includes structural analysis, computational mechanics, seismic assessment, and engineering applications involving complex infrastructure.[1]
Abstract
The Best Researcher Award profile recognizes Michele Angiolilli for a research record centered on structural engineering and computational approaches. Publicly available institutional and bibliographic records document contributions to seismic assessment, masonry structures, numerical modelling, and engineering design. [2]
Keywords
Michele Angiolilli; Structural Engineering; Computational Mechanics; Seismic Engineering; Masonry Structures; Numerical Modelling; Cryogenic Structures; DarkSide-20k; Gran Sasso Science Institute; Research Award.
Introduction
Angiolilli’s research profile combines structural engineering with computational and experimental methods. His institutional biography describes experience in nonlinear analysis, seismic assessment, structural modelling, and the design and verification of infrastructure associated with scientific research. [1]
Research Profile
The available record places Angiolilli within structural and civil engineering, with particular emphasis on computational mechanics, seismic behaviour, masonry structures, and structural safety. His publications demonstrate application of numerical and analytical techniques to the assessment of existing structures .[3]
Research Contributions
A representative contribution is research on the Lattice Discrete Particle Model for irregular stone masonry, published in the Journal of Structural Engineering. The work applies computational modelling to fracture and failure behaviour in heterogeneous masonry materials and provides an engineering framework for numerical investigation. [4]
Publications
His publication record includes studies of masonry fragility, seismic damage, structural modelling, and strengthening systems. One documented article, published in Bulletin of Earthquake Engineering, investigates fragility curves for masonry buildings in aggregate while accounting for local mechanisms and site effects. [5]
Research Impact
The documented combination of publications, citations, and institutional research activity provides measurable indicators of scholarly engagement. His research also connects established structural-engineering methodologies with scientific infrastructure, including engineering activities associated with the DarkSide-20k experiment. [1]
Award Suitability
For an academic recognition focused on research excellence, Angiolilli’s documented publication activity, structural-engineering specialization, computational expertise, and involvement in technically demanding research infrastructure provide relevant evidence for consideration. Award assessment should remain based on independently verifiable academic records.
Conclusion
Michele Angiolilli’s academic profile reflects sustained work in structural engineering, computational mechanics, seismic assessment, and engineering research for scientific infrastructure. The combination of scholarly publications and institutional responsibilities establishes a relevant research profile for consideration under the Best Researcher Award category.
External Links
References
- Gran Sasso Science Institute. (n.d.). Angiolilli Michele — Faculty and research profile.
https://www.gssi.it/people/professors/lectures-physics/item/25232-angiolilli-michele
- ResearchID. (n.d.). Michele Angiolilli — Research profile and publications.
https://researchid.co/micheleangiolilli
- Angiolilli, M., Brunelli, A., & Cattari, S. (2023). Fragility curves of masonry buildings in aggregate accounting for local mechanisms and site effects. Bulletin of Earthquake Engineering, 21, 2877–2919. DOI: 10.1007/s10518-023-01635-9.
https://doi.org/10.1007/s10518-023-01635-9
- Angiolilli, M., Pathirage, M., Gregori, A., & Cusatis, G. (2021). Lattice Discrete Particle Model for the Simulation of Irregular Stone Masonry. Journal of Structural Engineering, 147(9). DOI: 10.1061/(ASCE)ST.1943-541X.0003093.
https://doi.org/10.1061/(ASCE)ST.1943-541X.0003093
- Angiolilli, M., Lagomarsino, S., Cattari, S., & Degli Abbati, S. (2021). Seismic fragility assessment of existing masonry buildings in aggregate. Engineering Structures, 247, 113218. DOI: 10.1016/j.engstruct.2021.113218.
https://doi.org/10.1016/j.engstruct.2021.113218