A new procedure for load-shortening and -elongation data for progressive collapse method

Jonathan Downes; Gökhan Tansel Tayyar; Illia Kvan; Joonmo Choung

doi:10.1016/j.ijnaoe.2016.10.005

A new procedure for load-shortening and -elongation data for progressive collapse method

Jonathan Downes, Gökhan Tansel Tayyar, Illia Kvan, Joonmo Choung^*

^*Corresponding author for this work

Department of Naval Architecture and Marine Engineering

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

Abstract

Progressive Collapse Method (PCM) has been broadly applied to predict moment-carrying capacity of a hull girder, however accuracy of PCM has not been much studied. Accuracy of PCM is known to be dependent on how Load-Shortening and -Elongation (LSE) curve of a structural units are well predicted. This paper presents a new procedure to determine LSE datum based on box girder Finite Element Analyses (FEAs) instead of using finite element model of stiffened panels. To verify reliability of FEA results, the simple box girder collapse test results are compared with FEA results of same box girders. It reveals one frame-based box girder model is sufficiently accurate in terms of ultimate strengths of the box girders. After extracting LSE data from the box girders, PCM-based moment-carrying capacities are compared with those from FEAs of the box girders. PCM results are found to be equivalent to FEAs in terms of moment-carrying capacity if accurate LSE data are secured. The new procedure is applied to well-known 1/3 scaled frigate full section. Very excellent moment-carrying capacity of frigate hull section is obtained from PCM with LSE data from box girder FEAs.

Original language	English
Pages (from-to)	705-719
Number of pages	15
Journal	International Journal of Naval Architecture and Ocean Engineering
Volume	9
Issue number	6
DOIs	https://doi.org/10.1016/j.ijnaoe.2016.10.005
Publication status	Published - Nov 2017

Bibliographical note

Publisher Copyright:
© 2016 Society of Naval Architects of Korea

Funding

This research (work) was financially supported by the 1) “Korea-UK Global Engineer Education Program for Offshore Plant” funded by the Ministry of Trade, Industry & Energy (MOTIE), Korea and 2) “Manpower training program for ocean energy” funded by the Ministry of Oceans and Fisheries (MOF), Korea .

Funders	Funder number
Ministry of Trade, Industry & Energy
Ministry of Trade, Industry and Energy
Ministry of Oceans and Fisheries

Keywords

Box girder
Hull girder ultimate strength
Load-shortening and elongation data
Moment-carrying capacity
Progressive collapse method

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10.1016/j.ijnaoe.2016.10.005

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title = "A new procedure for load-shortening and -elongation data for progressive collapse method",

abstract = "Progressive Collapse Method (PCM) has been broadly applied to predict moment-carrying capacity of a hull girder, however accuracy of PCM has not been much studied. Accuracy of PCM is known to be dependent on how Load-Shortening and -Elongation (LSE) curve of a structural units are well predicted. This paper presents a new procedure to determine LSE datum based on box girder Finite Element Analyses (FEAs) instead of using finite element model of stiffened panels. To verify reliability of FEA results, the simple box girder collapse test results are compared with FEA results of same box girders. It reveals one frame-based box girder model is sufficiently accurate in terms of ultimate strengths of the box girders. After extracting LSE data from the box girders, PCM-based moment-carrying capacities are compared with those from FEAs of the box girders. PCM results are found to be equivalent to FEAs in terms of moment-carrying capacity if accurate LSE data are secured. The new procedure is applied to well-known 1/3 scaled frigate full section. Very excellent moment-carrying capacity of frigate hull section is obtained from PCM with LSE data from box girder FEAs.",

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A new procedure for load-shortening and -elongation data for progressive collapse method

Abstract

Bibliographical note

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Keywords

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