@incollection{eprints3664,
          series = {Lecture Notes in Computer Science},
          author = {Andrea Bacigalupo and Giorgio Gnecco and Marco Lepidi and Luigi Gambarotta},
           pages = {170--181},
       booktitle = {Machine Learning, Optimization, and Big Data. Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers},
           title = {Design of acoustic metamaterials through nonlinear programming},
       publisher = {Springer},
            year = {2016},
          number = {10122},
             url = {http://eprints.imtlucca.it/3664/},
        abstract = {The dispersive wave propagation in a periodic metamaterial with tetrachiral topology and inertial local resonators is investigated. The Floquet-Bloch spectrum of the metamaterial is compared with that of the tetrachiral beam lattice material without resonators. The resonators can be designed to open and shift frequency band gaps, that is, spectrum intervals in which harmonic waves do not propagate. Therefore, an optimal passive control of the frequency band structure can be pursued in the metamaterial. To this aim, a suitable constrained nonlinear optimization problem on a compact set of admissible geometrical and mechanical parameters is stated. According to functional requirements, the particular set of parameters which determines the largest low-frequency band gap between a pair of consecutive branches of the Floquet-Bloch spectrum is obtained. The optimization problem is successfully solved by means of a version of the method of moving asymptotes, combined with a quasi-Monte Carlo multi-start technique.
Subjects:	Materials Science (cond-mat.mtrl-sci)
Cite as:	arXiv:1603.07717 [cond-mat.mtrl-sci]
 	(or arXiv:1603.07717v2 [cond-mat.mtrl-sci] for this version)}
}