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Michele Placido Antonio Gatto ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Gatto, Michele Placido Antonio / Castelli, Francesco / Lentini, Valentina / Montrasio, Lorella (2024): AI-driven predictions of the dynamic properties of fine-grained soils in South Italy based on laboratory testing. In: Soil Dynamics and Earthquake Engineering, v. 187 (Dezember 2024).

    https://doi.org/10.1016/j.soildyn.2024.109009

  2. Gatto, Michele Placido Antonio / Montrasio, Lorella (2023): Artificial Neural Network model to predict the dynamic properties of sand-polyurethane composite materials for GSI applications. In: Soil Dynamics and Earthquake Engineering, v. 172 (September 2023).

    https://doi.org/10.1016/j.soildyn.2023.108032

  3. Gatto, Michele Placido Antonio / Lentini, Valentina / Montrasio, Lorella (2023): Dynamic properties of polyurethane from resonant column tests for numerical GSI study. In: Bulletin of Earthquake Engineering, v. 21, n. 8 (April 2023).

    https://doi.org/10.1007/s10518-022-01412-0

  4. Gatto, Michele Placido Antonio / Montrasio, Lorella / Zavatto, Linda (2021): Experimental Analysis and Theoretical Modelling of Polyurethane Effects on 1D Wave Propagation through Sand-Polyurethane Specimens. In: Journal of Earthquake Engineering, v. 26, n. 14 (November 2021).

    https://doi.org/10.1080/13632469.2021.1961933

  5. Gatto, Michele Placido Antonio / Montrasio, Lorella (2020): Analysis of the Behaviour of Very Slender Piles: Focus on the Ultimate Load. In: International Journal of Civil Engineering, v. 19, n. 2 (Juli 2020).

    https://doi.org/10.1007/s40999-020-00547-y

  6. Gatto, Michele Placido Antonio / Montrasio, Lorella / Berardengo, Marta / Vanali, Marcello (2020): Experimental Analysis of the Effects of a Polyurethane Foam on Geotechnical Seismic Isolation. In: Journal of Earthquake Engineering, v. 26, n. 6 (November 2020).

    https://doi.org/10.1080/13632469.2020.1779871

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