Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Enrique Garcia-Macias"'
Autor:
Hasan Borke Birgin, Simon Laflamme, Antonella D’Alessandro, Enrique Garcia-Macias, Filippo Ubertini
Publikováno v:
Sensors, Vol 20, Iss 3, p 659 (2020)
Smart materials are promising technologies for reducing the instrumentation cost required to continuously monitor road infrastructures, by transforming roadways into multifunctional elements capable of self-sensing. This study investigates a novel al
Externí odkaz:
https://doaj.org/article/978063c7b4194b0a91142f1398068827
Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9783030645939
This work reports the development of two novel software solutions, named MOVA and MOSS, for the autonomous management of integrated monitoring systems. MOVA and MOSS, Italian acronyms of “MOnitoraggio delle Vibrazioni Ambientali’’ and “MOnito
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a13db75befd7e2e1e63beea5608217c1
https://doi.org/10.1007/978-3-030-64594-6_89
https://doi.org/10.1007/978-3-030-64594-6_89
Publikováno v:
Buildings, Vol 14, Iss 10, p 3294 (2024)
Rammed earth construction, an ancient and sustainable building technique, faces significant preservation challenges, particularly in historical contexts. This study aims to enhance the preventive preservation of rammed earth historical heritage throu
Externí odkaz:
https://doaj.org/article/0ab0ba477be74d97b5f4463b9413f214
Publikováno v:
XI International Conference on Structural Dynamics.
Publikováno v:
Journal of Sound and Vibration. 487:115618
This paper presents an innovative meta-model for fast assessment of dynamic design envelopes of railway bridges. The proposed approach allows the computation of instantaneous amplitudes of dynamic response time series through the integral Hilbert tra
Publikováno v:
SoftwareX, Vol 23, Iss , Pp 101451- (2023)
Self-diagnostic composites have become increasingly popular for structural health monitoring due to their ability to develop load-bearing strain sensors. Piezoelectric cement composites, in particular, represent an emerging area of research with vast
Externí odkaz:
https://doaj.org/article/81c1d1686f574c999ff6a56d0db1470c
Autor:
Stefano Anastasia, Enrique García-Macías, Filippo Ubertini, Vincenzo Gattulli, Salvador Ivorra
Publikováno v:
Sensors, Vol 23, Iss 21, p 8830 (2023)
The damage identification of railway bridges poses a formidable challenge given the large variability in the environmental and operational conditions that such structures are subjected to along their lifespan. To address this challenge, this paper pr
Externí odkaz:
https://doaj.org/article/82ab975d48d541478e33c8a2570aec67
Autor:
Antonella D’Alessandro, Filippo Ubertini, Enrique García-Macías, Rafael Castro-Triguero, Austin Downey, Simon Laflamme, Andrea Meoni, Annibale Luigi Materazzi
Publikováno v:
Shock and Vibration, Vol 2017 (2017)
The paper presents a study on the use of cement-based sensors doped with carbon nanotubes as embedded smart sensors for static and dynamic strain monitoring of reinforced concrete (RC) elements. Such novel sensors can be used for the monitoring of ci
Externí odkaz:
https://doaj.org/article/879cbe0a5bd84e6b9b4b4244967ffe5a
Autor:
Andrea Meoni, Antonella D’Alessandro, Austin Downey, Enrique García-Macías, Marco Rallini, A. Luigi Materazzi, Luigi Torre, Simon Laflamme, Rafael Castro-Triguero, Filippo Ubertini
Publikováno v:
Sensors, Vol 18, Iss 3, p 831 (2018)
The availability of new self-sensing cement-based strain sensors allows the development of dense sensor networks for Structural Health Monitoring (SHM) of reinforced concrete structures. These sensors are fabricated by doping cement-matrix mterials w
Externí odkaz:
https://doaj.org/article/c17692251e1c49a09bef3539fd1ee915
Autor:
Filippo Ubertini, Antonella D’Alessandro, Austin Downey, Enrique García-Macías, Simon Laflamme, Rafael Castro-Triguero
Publikováno v:
Proceedings, Vol 2, Iss 3, p 119 (2017)
Structural Health Monitoring is aimed at transforming civil structures into self-diagnosing systems able to automatically reveal the occurrence of a fault or a damage after a critical event such as an earthquake. While data science is presently exper
Externí odkaz:
https://doaj.org/article/ee994feb944b4509a3b62213593b3e0d