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Simon Laflamme   Dr.  Institute, Department or Faculty Head 
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Simon Laflamme published an article in November 2018.
Top co-authors See all
Filippo Ubertini

63 shared publications

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

Eleni N. Chatzi

56 shared publications

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

Filipe Magalhães

41 shared publications

Construct-ViBest, Faculty of Engineering (FEUP), University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal

Branko Glisic

20 shared publications

Dr, Associate Professor, Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA

Enrique García-Macías

16 shared publications

Department of Continuum Mechanics and Theory of Structures, Universidad de Sevilla Escuela Tecnica Superior de Ingenieria de Sevilla, E.T.S. de Ingeniería C. de los Descubrimientos, Sevilla, Sevilla, Andalucía, 41092, SPAIN

Publication Record
Distribution of Articles published per year 
(2009 - 2018)
Total number of journals
published in
Publications See all
PROCEEDINGS-ARTICLE 0 Reads 0 Citations Advanced Materials and Designs for Hydraulic, Earth, and Aerospace Structures Hao Wu, Liang Cao, An Chen, Simon Laflamme Published: 15 November 2018
Earth and Space 2018, doi: 10.1061/9780784481899.079
DOI See at publisher website
Article 0 Reads 0 Citations Seismic behavior of glass fiber-reinforced polymer wall panels Hao Wu, An Chen, Simon Laflamme Published: 01 November 2018
Composite Structures, doi: 10.1016/j.compstruct.2018.07.034
DOI See at publisher website
Article 1 Read 0 Citations Adaptive wavelet neural network for terrestrial laser scanner-based crack detection Yelda Turkan, Jonathan Hong, Simon Laflamme, Nisha Puri Published: 01 October 2018
Automation in Construction, doi: 10.1016/j.autcon.2018.06.017
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 2 Citations Dense sensor networks for mesoscale SHM: innovations in sensing technologies and signal processing Filippo Ubertini, Simon Laflamme, Eleni Chatzi, Filipe Magal... Published: 10 February 2017
Measurement Science and Technology, doi: 10.1088/1361-6501/aa5c44
DOI See at publisher website
Conference 2 Reads 1 Citation Variable input observer for structural health monitoring of high-rate systems Jonathan Hong, Simon Laflamme, Liang Cao, Jacob Dodson Published: 01 January 2017
DOI See at publisher website