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Matteo Bruggi  - - - 
Top co-authors See all
Stefano Mariani

124 shared publications

Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza L. da Vinci 32, 20133 Milano, Italy

Alberto Taliercio

46 shared publications

Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy

P. Duysinx

34 shared publications

Department of Aerospace and Mechanical Engineering, University of Liège, Liège, Belgium

Francesco Caimmi

19 shared publications

Polymer Engineering Lab, Dipartimento di Chimica, Materiali e Ingegneria Chimica, Politecnico di Milano, Milan, Italy

Giovanni Capellari

12 shared publications

Politecnico di Milano, Dipartimento di Ingegneria Civile e Ambientale, Piazza L. da Vinci 32, 20133 Milano, Italy

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Publication Record
Distribution of Articles published per year 
(2007 - 2017)
Total number of journals
published in
 
28
 
Publications See all
Article 1 Read 1 Citation Topology optimization for microstructural design under stress constraints Maxime Collet, Lise Noël, Matteo Bruggi, Pierre Duysinx Published: 09 July 2018
Structural and Multidisciplinary Optimization, doi: 10.1007/s00158-018-2045-9
DOI See at publisher website
Article 4 Reads 0 Citations Health Monitoring of Composite Structures via MEMS Sensor Networks: Numerical and Experimental Results Stefano Mariani, Giovanni Capellari, Francesco Caimmi, Matte... Published: 04 December 2017
Proceedings, doi: 10.3390/proceedings1080749
DOI See at publisher website ABS Show/hide abstract
Laminated composites often develop hidden damages, e.g., delamination. Such events can be effectively sensed through embedded structural health monitoring (SHM) systems, taking advantage of the interlaminar regions to place sensors; experimental campaigns proved that this approach may turn out to increase the sensitivity to small defects and reduce the remaining lifetime of the structure. In former studies, we proposed the adoption of a surface-mounted SHM system based on (inertial) MEMS sensors, which has the advantages of low cost and of suppressing the mentioned effects on lightweight structures. On the other hand, the relatively low accuracy of MEMS sensors may hinder reliable monitoring of the system state; this can be overcome through redundancy and an efficient sensor placement. An automatic approach is presented to define the optimal topology of a network featuring a limited number of sensors, wherein the extent and location of stiffness degradation due to damage are assumed to be unknown. The goal of the optimization procedure is to maximize the overall sensitivity to damage of the measurements collected through the whole SHM system. The method has been implemented in a multi-scale frame, to efficiently handle sensors, damaged regions and structural components of different sizes. Although based on deterministic modeling, results are provided to show how measurement noise can be dealt with; a comparison with a stochastic approach based on Bayesian experimental design is provided too. Experimental data collected by testing composite specimens and panels are finally discussed, to assess the identifiability of damage through the collected (noisy) measurements.
Article 0 Reads 0 Citations Optimal design accounting for uncertainty in loading amplitudes: A numerical investigation Bence Balogh, Matteo Bruggi, Janos Lógó Published: 03 September 2017
Mechanics Based Design of Structures and Machines, doi: 10.1080/15397734.2017.1362987
DOI See at publisher website
Article 2 Reads 5 Citations On the virtual element method for topology optimization on polygonal meshes: A numerical study Paola Francesca Antonietti, Matteo Bruggi, S. Scacchi, M. Ve... Published: 01 September 2017
Computers & Mathematics with Applications, doi: 10.1016/j.camwa.2017.05.025
DOI See at publisher website
Article 1 Read 1 Citation Simple Homogenization-Topology Optimization Approach for the Pushover Analysis of Masonry Walls Gabriele Milani, Matteo Bruggi Published: 26 July 2017
International Journal of Architectural Heritage, doi: 10.1080/15583058.2017.1323248
DOI See at publisher website
Article 3 Reads 0 Citations A Multiscale Approach to the Smart Deployment of Micro-Sensors over Lightweight Structures Giovanni Capellari, Francesco Caimmi, Matteo Bruggi, Stefano... Published: 15 July 2017
Sensors, doi: 10.3390/s17071632
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
A topology optimization approach has been recently proposed to maximize the sensitivity to damage of measurements, collected through a network of sensors to be deployed over thin plates for structural health monitoring purposes. Within such a frame, damage is meant as a change in the structural health characterized by a reduction of relevant stiffness and load-carrying properties. The sensitivity to a damage of unknown amplitude and location is computed by comparing the response to the external actions of the healthy structure and of a set of auxiliary damaged structures, each one featuring reduced mechanical properties in a small region only. The topology optimization scheme has been devised to properly account for the information coming from all of the sensors to be placed on the structure and for damage depending on its location. In this work, we extend the approach within a multiscale frame to account for three different length scales: a macroscopic one, linked to the dimensions of the whole structure to be monitored; a mesoscopic one, linked to the characteristic size of the damaged region; a microscopic one, linked to the size of inertial microelectromechanical systems (MEMS) to be used within a marginally-invasive health monitoring system. Results are provided for a square plate and for a section of fuselage with stiffeners, to show how the micro-sensors have to be deployed to maximize the capability to detect a damage, to assess the sensitivity of the results to the measurement noise and to also discuss the speedup in designing the network topology against a standard single-scale approach.
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