Prediction of the vibratory properties of ship models with realistic structural configurations produced using additive manufacturing
Prediction of the vibratory properties of ship models with realistic structural configurations produced using additive manufacturing
The use of flexible ship models to determine the dynamic behaviour of full-scale ships in waves and to compare the accuracy of numerical predictions has increased in the past few years. Segments attached to a flexible uniform backbone of suitable but simple cross section is the preferred solution. Although such models are relatively easy to manufacture with conventional processes, they do not represent accurately the structural detail, for example, of a container ship. The limitations of conventional manufacturing constraints can be potentially overcome by use of modern technologies such as additive manufacturing. Designing detailed elastic ship models requires the determination of dynamic material properties, in addition to the manufacturer mechanical properties. In this investigation, a detailed but easy-to-implement method is developed, and applied to a uniform container ship-like model, to identify the material properties that are relevant to the calculation of the natural frequencies of 3D printed thin-walled structures. It is demonstrated that modal testing of 3D printed specimens, combined with FEAmodelling, can be used to accurately predict the natural frequencies of much more complex thin-walled structures. This method allows investigators to acquire all information necessary during the design stage of 3D printed structures without having to resort to full material characterisation.
Additive manufacturing, Cellular, Modal testing, Structural vibration, Thin-walled girders
Grammatikopoulos, Apostolos
7975d020-159a-498e-adba-8f301b701a90
Banks, Joseph
3e915107-6d17-4097-8e77-99c40c8c053d
Temarel, Pandeli
b641fc50-5c8e-4540-8820-ae6779b4b0cf
September 2020
Grammatikopoulos, Apostolos
7975d020-159a-498e-adba-8f301b701a90
Banks, Joseph
3e915107-6d17-4097-8e77-99c40c8c053d
Temarel, Pandeli
b641fc50-5c8e-4540-8820-ae6779b4b0cf
Grammatikopoulos, Apostolos, Banks, Joseph and Temarel, Pandeli
(2020)
Prediction of the vibratory properties of ship models with realistic structural configurations produced using additive manufacturing.
Marine Structures, 73, [102801].
(doi:10.1016/j.marstruc.2020.102801).
Abstract
The use of flexible ship models to determine the dynamic behaviour of full-scale ships in waves and to compare the accuracy of numerical predictions has increased in the past few years. Segments attached to a flexible uniform backbone of suitable but simple cross section is the preferred solution. Although such models are relatively easy to manufacture with conventional processes, they do not represent accurately the structural detail, for example, of a container ship. The limitations of conventional manufacturing constraints can be potentially overcome by use of modern technologies such as additive manufacturing. Designing detailed elastic ship models requires the determination of dynamic material properties, in addition to the manufacturer mechanical properties. In this investigation, a detailed but easy-to-implement method is developed, and applied to a uniform container ship-like model, to identify the material properties that are relevant to the calculation of the natural frequencies of 3D printed thin-walled structures. It is demonstrated that modal testing of 3D printed specimens, combined with FEAmodelling, can be used to accurately predict the natural frequencies of much more complex thin-walled structures. This method allows investigators to acquire all information necessary during the design stage of 3D printed structures without having to resort to full material characterisation.
Text
Preprint
- Accepted Manuscript
More information
Accepted/In Press date: 5 June 2020
e-pub ahead of print date: 11 July 2020
Published date: September 2020
Keywords:
Additive manufacturing, Cellular, Modal testing, Structural vibration, Thin-walled girders
Identifiers
Local EPrints ID: 445545
URI: http://eprints.soton.ac.uk/id/eprint/445545
ISSN: 0951-8339
PURE UUID: a8f2de80-8b93-4bc0-9ea3-21a688beebd9
Catalogue record
Date deposited: 15 Dec 2020 17:31
Last modified: 06 Jun 2024 04:16
Export record
Altmetrics
Contributors
Author:
Apostolos Grammatikopoulos
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics