PSI - Issue 24

First page Table of contents Previous page 838 Next page Last page

Available online at www.sciencedirect.com Structural Integrity Procedia 00 (2019) 000 – 000 Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2019) 000 – 000 Available online at www.sciencedirect.com ScienceDirect

www.elsevier.com/locate/procedia www.elsevier.com/locate/procedia

ScienceDirect

Procedia Structural Integrity 24 (2019) 926–938

© 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the AIAS2019 organizers Abstract In naval field, live monitoring of local strains and displacements in the hull is the basis for dynamic studies such as checking the design limits, sea-keeping tests in smooth and rough seas, fatigue life estimation and damage detection. Vessels sailing on water are subject to impulsive loadings and local deformations; in these conditions the damage detection in real time becomes crucial. In this paper, a numerical methodology is proposed to measure the deformation of the whole structure of a powerboat entering the water free surface starting from local strain measurements, obtained numerically in a FE simulation. A modal decomposition approach has been used to reconstruct the structural response of the whole boat body. The reconstruction algorithm is calibrated for this study by means of the normalized modal strains matrix obtained through a FEA. A transient FE analysis is implemented to generate local strain signals from virtual sensors. In this analysis hydrodynamic loading resulting from well-known models are applied. The positioning and number of the virtual reference and control sensors are investigated. Virtual control sensors are utilized to compare strains with respect to the reconstructed quantities. Subsequently, the structural health monitoring algorithm has been applied to the powerboat model with a localized damage on the structure. The results reported in the paper reveal the capability of the method to detect the damage in real time. © 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the AIAS2019 organizers AIAS 2019 International Conference on Stress Analysis Structural health monitoring algorithm application to a powerboat model impacting on water surface Pierluigi Fanelli a *, Simone Trupiano b , Valerio Gioachino Belardi b , Francesco Vivio b , Elio Jannelli c a Department of Economics, Engineering, Society and Business Organization, University of Tuscia, Largo dell’Universit à, 01100 Viterbo, Italy b Department of Enterprise Engineering - University of Rome Tor Vergata, Via del Politec ico, 1, 00133, Rome, Italy c Department of Engineering, University of Naples Parthenope, Isola C4 Centro Direzionale, 80133 Napoli , Italy Abstract In naval field, live monitoring of local strains and displacements in the hull is the basis for dynamic studies such as checking the design limits, sea-keeping tests in smooth and rough seas, fatigue life estimation and damage detection. Vessels sailing on water are subject to impulsive loadings and local deformations; in these conditions the damage detection in real time becomes crucial. In this paper, a numerical methodology is proposed to easure the deformation of the whole structure of a powerboat entering the water free surface starting from local strain measurements, obtained numerically in a FE simulation. A modal decomposition approach has been used to reconstruct the structural response of the whole boat body. The reconstruction algorithm is calibrated for this study by means of the nor alized modal strains matrix obtained through a FEA. A transient FE analysis is implemented to generate local strain signals from virtual sensors. In this analysis hydrodynamic loading resulting from well-known models are applied. The positioning and number of the virtual reference and control sensors are investigated. Virtual control sensors are utilized to compare strains with respect to the reconstructed quantities. Subsequently, the structural health monitoring algorithm has been applied to the powerboat model with a localized damage on the structure. The results reported in the paper reveal the capability of the method to detect the damage in real time. © 2019 The Authors. Published by Elsevier B.V. This is an ope access article under t e CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the AIAS2019 organizers AIAS 2019 International Conference on Stress Analysis Structural health monitoring algorithm application to a powerboat model impacting on water surface Pierluigi Fanelli a *, Simone Trupiano b , Valerio Gioachino Belardi b , Francesco Vivio b , Elio Jannelli c a Department of Economics, Engineering, Society and Business Organization, University of Tuscia, Largo dell’Universit à, 01100 Viterbo, Italy b Department of Enterprise Engineering - University of Rome Tor Vergata, Via del Politecnico, 1, 00133, Rome, Italy c Department of Engineering, University of Naples Parthenope, Isola C4 Centro Direzionale, 80133 Napoli , Italy

Keywords: Damage detection; Structural Health Monitoring; Modal Reconstruction Keywords: Damage detection; Structural Health Monitoring; Modal Reconstruction

* Corresponding author. pierluigi.fanelli@unitus.it * Corresponding author. pierluigi.fanelli@unitus.it

2452-3216 © 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the AIAS2019 organizers 2452-3216 © 2019 The Authors. Published by Elsevier B.V. This is an ope access article under t CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the AIAS2019 organizers

Made with FlippingBook - Online catalogs