
Rosa Penna
Title
ABSTRACT
Concrete is extensively utilized in construction due to its affordability and stable performance. However, traditional concrete exhibits limitations such as low mechanical strength, reduced toughness, susceptibility to cracking, and poor durability, which can significantly shorten the lifespan of structures. Over extended periods, minor defects can escalate, leading to structural failures, especially under fatigue loads and environmental factors. Early detection of such issues is crucial to prevent catastrophic failures and ensure safety.
Structural Health Monitoring (SHM) has emerged as a vital approach to assess the integrity of concrete structures in real-time. Traditional SHM methods, relying on external sensors, often face challenges like poor durability and compatibility issues with concrete. To address these challenges, self-sensing cement-based materials have been developed, integrating conductive fillers such as carbon nanotubes (CNTs) to enable inherent sensing capabilities. pmc.ncbi.nlm.nih.gov
Over the past two decades, significant advancements have been made in developing smart concrete with self-sensing abilities for infrastructure SHM systems. The incorporation of CNTs into concrete enhances its mechanical properties and electrical conductivity, facilitating the detection of stress and damage through changes in electrical resistance. However, challenges persist, particularly regarding the uniform dispersion of CNTs within the concrete matrix, as they tend to agglomerate due to strong van der Waals forces. Achieving consistent dispersion is critical for optimizing the performance of self-sensing concrete.
Current research predominantly focuses on laboratory-scale studies, emphasizing macroscopic performance. To transition self-sensing concrete into practical applications, further in-depth theoretical and empirical investigations are necessary. Future research should aim to establish standardized dispersion methods for CNTs and explore large-scale implementations to fully harness the potential of self-sensing concrete in enhancing the safety and durability of civil engineering infrastructure.
Biography
Rosa Penna is an Associate Professor in Structural Mechanics at the Department of Civil Engineering, University of Salerno. She graduated with honors in Civil Engineering, earning both her Bachelor’s and Master’s degrees, followed by a PhD in Structural Engineering and Urban Rehabilitation in 2014.
Her research focuses on solid and structural mechanics, using theoretical-numerical and experimental approaches. Key areas include structural consolidation with composite materials, numerical-experimental analysis of pultruded composite beams, multiscale modeling, and the development of self-sensing materials for structural health monitoring (SHM).
She has authored over 80 scientific papers published in international journals and conference proceedings. Additionally, she is the scientific coordinator of nationally significant research projects (PRIN) funded by the Italian Ministry of Research (MUR) and other university research funds (FARB). She also participates in projects linked to seismic engineering and disaster resilience.
Professor Penna is an active member of various scientific associations, including the International Community for Composites Engineering (ICCE) and the Italian Association for Stress Analysis (AIAS). She has collaborated with international research groups and delivered keynote speeches at numerous scientific conferences.
Among her recognitions are the “Key Scientific Article” award by Advances in Engineering (2017), Best Paper Awards (ICATH 2021 and 2024), and inclusion in Stanford University’s “Top 2% Scientists” (2024).
Since 2016, she has been teaching Structural Mechanics and Composite Materials at the University of Salerno, supervising Bachelor’s, Master’s, and PhD students. She also participates in academic committees and institutional councils.
Her international collaborations include research on composite materials with Prof. Mosallam (University of California, Irvine), green structures with Prof. Lau (City University of Hong Kong), and lattice modeling with Prof. Fascetti (University of Pittsburgh).