Investigating Post-fire Critical Area of ship base on Numerical Fire Simulation

Abstract Ship fires are recognized as significant maritime incidents that can lead to substantial losses, including loss of life. In events where fires severely compromise a vessel’s structural integrity, the costs associated with comprehensive repairs can be exorbitant, placing considerable pressure on shipowners. Ensuring post-fire structural integrity is paramount. Therefore, it is essential to provide technical considerations that aid shipowners and classification societies in identifying critical areas of a ship’s structure that require replacement. This study aims to investigate the post-fire critical areas of ship structures through numerical fire simulations. By leveraging the properties of steel, which can undergo microstructural changes when subjected to high temperatures and rapid cooling, critical structural areas can be identified based on fire-induced heat exposure. A specific case study involving a fire incident aboard a 7,500 GT bulk carrier, triggered by the failure of an auxiliary engine, is examined. The simulations utilize on-site data and actual post-fire conditions to draw robust conclusions. The insights derived from this research are expected to enhance the understanding of the impacts of fire on ship construction and facilitate more efficient and accurate post-fire inspections.

Authors

Institutions

Publication Details

Journal
IOP Conference Series Earth and Environmental Science
Published
2024-12-01
DOI
https://doi.org/10.1088/1755-1315/1423/1/012041
Primary Topic
Structural Analysis and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigating Post-fire Critical Area of ship base on Numerical Fire Simulation

Reyhan Alifrinaldy Lesmana, S Komariyah, S Anggara, R F Hariadi
IOP Conference Series Earth and Environmental Science
Structural Analysis and Optimization
article

Investigating Post-fire Critical Area of ship base on Numerical Fire Simulation

Reyhan Alifrinaldy Lesmana, S Komariyah, S Anggara, R F Hariadi
article en

Abstract

Abstract Ship fires are recognized as significant maritime incidents that can lead to substantial losses, including loss of life. In events where fires severely compromise a vessel’s structural integrity, the costs associated with comprehensive repairs can be exorbitant, placing considerable pressure on shipowners. Ensuring post-fire structural integrity is paramount. Therefore, it is essential to provide technical considerations that aid shipowners and classification societies in identifying critical areas of a ship’s structure that require replacement. This study aims to investigate the post-fire critical areas of ship structures through numerical fire simulations. By leveraging the properties of steel, which can undergo microstructural changes when subjected to high temperatures and rapid cooling, critical structural areas can be identified based on fire-induced heat exposure. A specific case study involving a fire incident aboard a 7,500 GT bulk carrier, triggered by the failure of an auxiliary engine, is examined. The simulations utilize on-site data and actual post-fire conditions to draw robust conclusions. The insights derived from this research are expected to enhance the understanding of the impacts of fire on ship construction and facilitate more efficient and accurate post-fire inspections.

IOP Conference Series Earth and Environmental ScienceVol. 1423(1)
Institut Ilmu Sosial dan Ilmu Politik Jakarta (ID)
Openalex Percentile: Top 38%
Structural Analysis and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.