Please login first
Enrique García-Macías   Dr.   
Timeline See timeline
Enrique García-Macías published an article in February 2019.
Top co-authors
Simon Laflamme

118 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

Filippo Ubertini

108 shared publications

Department of Civil and Environmental Engineering, University of Perugia, Via G. Duranti, 93-06125 Perugia, Italy

Antonella D’Alessandro

49 shared publications

Department of Civil and Environmental Engineering, Via G. Duranti 93, 06125 Perugia, Italy

Austin Downey

28 shared publications

Iowa State University, Ames, IA

Publication Record
Distribution of Articles published per year 
(2015 - 2019)
Total number of journals
published in
Publications See all
Article 0 Reads 0 Citations Multiscale modeling of the elastic moduli of CNT-reinforced polymers and fitting of efficiency parameters for the use of... Enrique García-Macías, Carlos Felipe Guzmán, Erick I. Saaved... Published: 01 February 2019
Composites Part B: Engineering, doi: 10.1016/j.compositesb.2018.09.057
DOI See at publisher website
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
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 CNT-polymer nanocomposites under frictional contact conditions Luis Rodríguez-Tembleque, Enrique García-Macías, Andrés Sáez Published: 01 December 2018
Composites Part B: Engineering, doi: 10.1016/j.compositesb.2018.08.003
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.