A surrogate-based optimization method for the issuance of passenger evacuation orders under ship fires

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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Author(s)

  • Qimiao Xie
  • Shaogang Zhang
  • Jinhui Wang
  • Shuaishuai Guo
  • Tao Wang

Detail(s)

Original languageEnglish
Article number107456
Journal / PublicationOcean Engineering
Volume209
Online published5 Jun 2020
Publication statusPublished - 1 Aug 2020

Abstract

In order to reduce assembly time and improve the computational efficiency under ship fires, a surrogate-based optimization technique is proposed to estimate the optimal time of the issuance of evacuation orders, which determines the passenger response times. The Legendre polynomial chaos expansion technique is employed to construct the surrogate model of passenger assembly time with response time parameters, and validated with the original computer evacuation model. The genetic algorithm (GA) is subsequently applied to find the optimal response time combination. A 3-storey passenger ship is presented and four different fire scenarios that involve typical fire locations are considered to address the validity of this proposed method. The results suggest that this proposed method can be used to determine the optimal and the worst response time parameters with a significantly reduced number of evaluation samples. The relative error of assembly time from the surrogate model follows the normal distribution. For evacuation zone with the longest average travel distance, passengers should be informed of the immediate evacuation. For evacuation zones with short average travel distances, the optimal response time may be larger than the worst solution. This work provides a new method to make a reasonable evacuation planning in ship fires.

Research Area(s)

  • Assembly time, Evacuation orders, Optimization, Response time, Ship fires, Surrogate model

Citation Format(s)

A surrogate-based optimization method for the issuance of passenger evacuation orders under ship fires. / Xie, Qimiao; Zhang, Shaogang; Wang, Jinhui; Lo, Siuming; Guo, Shuaishuai; Wang, Tao.

In: Ocean Engineering, Vol. 209, 107456, 01.08.2020.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal