Please login first
Filippo Ubertini   Professor  Other 
Timeline See timeline
Filippo Ubertini published an article in February 2019.
Research Keywords & Expertise
0 A
0 Carbon Nanotubes
0 Reinforced Concrete
0 Resistance
0 Sensors
0 Structural Health Monitoring
Top co-authors See all
Luisa F. Cabeza

390 shared publications

GREiA Research Group, INSPIRES Research Centre, Universitat de Lleida, Pere de Cabrera s/n, 25001 Lleida, Spain

Luigi Torre

184 shared publications

Materials Engineering Center, University of Perugia, Località Pentima Bassa, 21, 05100 Terni, Italy

Simon Laflamme

119 shared publications

Associate Professor, Dept. of Civil, Construction, and Environmental Engineering and Dept. of Electrical and Computer Engineering, Iowa State Univ., Town Engineering #416A, Ames, IA 50011

Eleni N. Chatzi

108 shared publications

Institute of Structural Engineering, Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, 8093 Zurich, Switzerland

Franco Cotana

96 shared publications

CIRIAF, Interuniversity Research Center, University of Perugia, Via G. Duranti, 63-06125 Perugia, Italy

Publication Record
Distribution of Articles published per year 
(2007 - 2019)
Total number of journals
published in
Publications See all
Article 0 Reads 0 Citations Vibration-based damage localization and quantification in a pretensioned concrete girder using stochastic subspace ident... Alessandro Cancelli, Simon Laflamme, Alice Alipour, Sri Srit... Published: 28 February 2019
Structural Health Monitoring, doi: 10.1177/1475921718820015
DOI See at publisher website
Article 0 Reads 0 Citations An Automated Procedure for Assessing Local Reliability Index and Life-Cycle Cost of Alternative Girder Bridge Design Sol... Ilaria Venanzi, Riccardo Castellani, Laura Ierimonti, Filipp... Published: 20 January 2019
Advances in Civil Engineering, doi: 10.1155/2019/5152031
DOI See at publisher website ABS Show/hide abstract
Stakeholders of civil infrastructures have to usually choose among several design alternatives in order to select a final design representing the best trade-off between safety and economy, in a life-cycle perspective. In this framework, the paper proposes an automated procedure for the estimation of life-cycle repair costs of different bridge design solutions. The procedure provides the levels of safety locally guaranteed by the selected design solution and the related total life-cycle cost. The method is based on the finite element modeling of the bridge and uses design traffic models as suggested by international technical standards. Both the global behavior and the transversal cross section of the bridge are analyzed in order to provide local reliability indexes. Several parameters involved in the design, such as geometry and loads and materials’ characteristics, are considered as uncertain. Degradation models are adopted for steel carpentry and rebars. The application of the procedure to a road bridge case study shows its potential in providing local safety levels for different limit states over the entire lifetime of the bridge and the life-cycle cost of the infrastructure, highlighting the importance of the local character of the life-cycle cost analysis.
Article 0 Reads 0 Citations Earthquake-induced damage detection and localization in masonry structures using smart bricks and Kriging strain reconst... Enrique García-Macías, Filippo Ubertini Published: 21 December 2018
Earthquake Engineering & Structural Dynamics, doi: 10.1002/eqe.3148
DOI See at publisher website
CONFERENCE-ARTICLE 31 Reads 0 Citations <strong>Full-scale testing of a masonry building monitored with smart brick sensors</strong> Antonella D'Alessandro, Andrea Meoni, Enrique García-Macías,... Published: 14 November 2018
Proceedings of 5th International Electronic Conference on Sensors and Applications, doi: 10.3390/ecsa-5-05764
DOI See at publisher website ABS Show/hide abstract

The seismic monitoring of masonry structures is especially challenging due to their brittle resistance behavior. A tailored sensing system could, in principle, help to detect and locate cracks and anticipate the risks of local and global collapses, allowing prompt interventions and ensuring users’ safety. Unfortunately, off-the-shelf sensors do not meet the criteria that are needed for this purpose, due to their durability issues, costs and extensive maintenance requirements. As a possible solution for earthquake-induced damage detection and localization in masonry structures, the authors have recently introduced the novel sensing technology of “smart bricks”, that are clay bricks with self-sensing capabilities, whose electromechanical properties have been already characterized in previous work. The bricks are fabricated by doping traditional clay with conductive stainless steel microfibers, enhancing the electrical sensitivity of the material to strain. If placed at key locations within the structure, this technology permits to detect and locate permanent changes in deformation under dead loading conditions, associated to a change in structural conditions following an earthquake. In this way, a quick post-earthquake assessment of the monitored structure can be achieved, at lower costs and with lower maintenance requirements in comparison to traditional sensors.

In this paper, the authors further investigate the electro-mechanical behavior of smart bricks, with a specific attention to the fabrication of the electrodes, and exemplify their application for damage detection and localization in a full-scale shaking table test on a masonry building specimen. Experimental results show that smart bricks’ outputs can effectively allow the detection of local permanent changes in deformation following a progressive damage, as also confirmed by a 3D finite element simulation carried out for validation purposes.

Related video presentation available here.

Article 0 Reads 0 Citations Crack detection and localization in RC beams through smart MWCNT/epoxy strip-like strain sensors Enrique García-Macías, Luis Rodríguez-Tembleque, Andres Saez... Published: 05 October 2018
Smart Materials and Structures, doi: 10.1088/1361-665x/aae668
DOI See at publisher website ABS Show/hide abstract
In recent years, self-sensing structural materials have drawn enormous attention of scientific community due to their potential to enable continuous monitoring of the integrity of structures. The new paradigm of smart condition-based maintenance advocates the use of next-generation structures completely or partly constituted by self-sensing materials, that is, the structure or part of it also behaves as a sensor. In this context, the remarkable mechanical and electrical properties of Multi Walled Carbon NanoTubes (MWCNTs) have fostered an increasing number of applications as fillers for composites with multifunctional properties. Among a wide spectrum of potential applications, the development of skin-type piezoresistive distributed strain sensors shows great promise. Such sensors can be deployed onto large-scale structures, enabling a continuous monitoring of the strain state in the global area of the structure. In this paper, a theoretical study on the potential application of smart MWCNT/epoxy strip-like strain sensors for damage detection/localization/quantification in Reinforced Concrete (RC) beams is presented. A micromechanics-based finite element model is proposed for the electromechanical analysis of MWCNT/epoxy strips. Furthermore, a damage detection algorithm through model updating approach is introduced. To do so, an Euler-Bernoulli model for beams equipped with a smart MWCNT/epoxy strip is developed. Finally, two numerical case studies are presented including: a 2D concrete beam with multiple prescribed crack-like damages, and a 3D RC beam under four-point flexural conditions with non-prescribed cracking. Results show that the proposed smart strips are capable of exploiting the damage-induced variations in the electrical output to locate and quantify damages for real-time distributed structural health monitoring of RC beam structures.
Article 1 Read 1 Citation 3D mixed micromechanics-FEM modeling of piezoresistive carbon nanotube smart concrete Enrique García-Macías, Rafael Castro-Triguero, Andrés Sáez, ... Published: 01 October 2018
Computer Methods in Applied Mechanics and Engineering, doi: 10.1016/j.cma.2018.05.037
DOI See at publisher website