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Enrique García-Macías   Dr.   
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Enrique García-Macías published an article in December 2018.
Top co-authors
Filippo Ubertini

63 shared publications

Department of Civil and Environmental Engineering, University of Perugia, Perugia, Umbria, Italy

Simon Laflamme

36 shared publications

Dept. of Civil, Construction, and Environmental Engineering, Iowa State Univ., Ames, IA 50011-1066

Austin Downey

5 shared publications

A. D’Alessandro

2 shared publications

Department of Civil and Environmental Engineering, University of Perugia, Perugia, Italy

16
Publications
56
Reads
25
Downloads
27
Citations
Publication Record
Distribution of Articles published per year 
(2015 - 2018)
Total number of journals
published in
 
8
 
Publications See all
Article 0 Reads 0 Citations MWCNT/epoxy strip-like sensors for buckling detection in beam-like structures Enrique García-Macías, Luis Rodríguez-Tembleque, Andrés Sáez Published: 01 December 2018
Thin-Walled Structures, doi: 10.1016/j.tws.2018.09.013
DOI See at publisher website
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
Article 2 Reads 0 Citations Two-step hierarchical micromechanics model of partially saturated porous composites doped with ellipsoidal particles wit... Enrique García-Macías, Rafael Castro-Triguero, Filippo Ubert... Published: 01 September 2018
Composites Part B: Engineering, doi: 10.1016/j.compositesb.2018.04.037
DOI See at publisher website
Article 0 Reads 0 Citations Coupled effect of CNT waviness and agglomeration: A case study of vibrational analysis of CNT/polymer skew plates Enrique García-Macías, Rafael Castro-Triguero Published: 01 June 2018
Composite Structures, doi: 10.1016/j.compstruct.2018.03.001
DOI See at publisher website
CONFERENCE-ARTICLE 27 Reads 0 Citations Recent Advances on SHM of Reinforced Concrete and Masonry Structures Enabled by Self-Sensing Structural Materials Filippo Ubertini, Antonella D'Alessandro, Austin Downey, Enr... Published: 14 November 2017
Proceedings, doi: 10.3390/ecsa-4-04889
DOI See at publisher website ABS Show/hide abstract

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 experiencing a tremendous development, leading to the availability of powerful tools and algorithms that extract relevant information by effectively fusing data provided by different types of sensors, one of the main bottlenecks still limiting the development of SHM in the filed of civil engineering is the general lack of reliable sensing technologies that are effectively applicable to the large scale. A very promising solution to such a large scale challenge would be using the same construction materials for strain sensing and direct damage detection. In this view, the authors have recently proposed smart concretes and smart bricks that are piezoresistive concretes and clay bricks obtained by doping traditional construction materials with conductive nano- or micro inclusions. These novel multifunctional materials have the ability to provide measurable electrical output under application of a mechanical load and to provide information useful for damage detection, localization and quantification. The paper introduces both technologies, discusses their potentials and illustrates their application to paradigmatic structural elements arranged in the laboratory. The presented results contribute to showing the revolutionary impact that smart concretes and smart bricks may have in the near future on SHM of concrete and masonry structures.

Article 0 Reads 1 Citation Eshelby-Mori-Tanaka approach for post-buckling analysis of axially compressed functionally graded CNT/polymer composite ... Enrique García-Macías, Luis Rodríguez-Tembleque, Rafael Cast... Published: 01 November 2017
Composites Part B: Engineering, doi: 10.1016/j.compositesb.2017.07.016
DOI See at publisher website
Conference papers
CONFERENCE-ARTICLE 23 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
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.

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