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Annibale Luigi Materazzi

Researcher at University of Perugia

Publications -  66
Citations -  2268

Annibale Luigi Materazzi is an academic researcher from University of Perugia. The author has contributed to research in topics: Structural health monitoring & Wind engineering. The author has an hindex of 23, co-authored 66 publications receiving 1782 citations.

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Investigations on scalable fabrication procedures for self-sensing carbon nanotube cement-matrix composites for SHM applications

TL;DR: In this paper, a systematic investigation on various procedures for fabricating carbon-nanotube-cement pastes, mortars and concretes is presented, in order to identify a processing procedure that, without sonication, might be potentially effective for fabrication of self-sensing cement-based composites in a way that is compatible with large scale deployment.
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Carbon nanotube cement-based transducers for dynamic sensing of strain

TL;DR: In this article, the applicability of carbon nanotube-cement-based sensors for measuring dynamically varying strain in concrete structures is explored, and the results demonstrate that the sensors output retains all dynamic features of the input thus providing useful information for SHM and encouraging the transformation of structures into infinite sets of potential sensors with enhanced durability and limited access issues.
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Automated modal identification in operational conditions and its application to bridges

TL;DR: In this article, an automated modal identification procedure, belonging to the class of SSI techniques and based on the popular tool of clustering analysis, was proposed for the operational modal analysis of two bridges.
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Dynamic Characterization of a Soft Elastomeric Capacitor for Structural Health Monitoring

TL;DR: Understanding of the proposed sensor is furthered by evaluating its performance at vibration-based monitoring of large-scale structures, and results show that the sensor can be used to detect fundamental modes and dynamic input.
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Environmental effects on natural frequencies of the San Pietro bell tower in Perugia, Italy, and their removal for structural performance assessment

TL;DR: In this paper, a case study of an Italian monumental bell tower that has been monitored by the authors for more than nine months is presented, where the relationship between natural frequencies and environmental parameters is investigated in detail and the predictive capabilities of linear statistical regressive models based on the use of several environmental continuous monitoring sensors are assessed.