CFD-Based Metamodeling of the Propagation Distribution of Styrene Spilled from a Ship
Source abstract
Abstract
The present study aimed to numerically establish a new metamodel for predicting the propagation distribution of styrene, which is one of the hazardous and noxious substances (HNSs) spilled from ships. Three-dimensional computational fluid dynamics (CFD) simulations were conducted for 80 different scenarios to gather large amounts of data on the spatial distribution of the change in concentration over time. We used the commercial code of ANSYS Fluent (V.17.2) to solve the Reynolds-averaged Navier–Stokes equations, together with the scalar transport equation. Based on the CFD results, we adopted the well-known kriging model to create a metamodel that estimated the propagation velocity and spatial distributions by considering the effect of the current surface velocity, deep current velocity, surface layer depth, and crack position. The results show that the metamodel accurately predicted the changes in the local distribution of styrene over time. This model was also evaluated using the hidden-point test.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Risk and Safety Analysis · Oil Spill Detection and Mitigation · Wind and Air Flow Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical Engineering, Chung-Ang University, Seoul 06974, Korea
LG Electronics, Changwon 51554, Korea
Korea Research Institute of Ships & Ocean Engineering (KRISO), Daejeon 34103, Korea
Funding
Chung-Ang university · Brain Korea (BK) 21
References (21)
Show source-provided references
1. IMO (2000). Protocol on preparedness, Response and co-operation to pollution incidents by hazardous and noxious substances. 2000 (OPRC-HNS Protocol), IMO.
2. Hazardous and noxious substances (HNS) in the marine environment: Prioritizing HNS that pose major risk in a european context10.1016/j.marpolbul.2010.09.016 ↗
3. Development of a risk-based prioritisation methodology to in-form public health emergency planning and preparedness in case of accidental spill at sea of hazardous and noxious substances (HNS)10.1016/j.envint.2014.05.012 ↗
4. Bonn Agreement, Counter pollution manual. Bonn Agreemment Counter Pollution Manual. Available online: https://www.bonnagreement.org/publications.
5. The loss of the chemical tanker Ievoli Sun in the English Channel, October 200010.1016/S0025-326X(02)00222-9 ↗
6. Oil spill simulation: A case study in the strait of Istanbul
7. Oil spill simulation and validation in the Arabian (Persian) Gulf with special reference to the UAE coast10.1007/s11270-007-9413-1 ↗
8. Offshore experiments on styrene spillage in marine waters for risk assessment10.1016/j.marpolbul.2012.04.022 ↗
9. Energy and cost optimization of shell and tube heat exchanger with helical baffles using kriging metamodel based on MOGA10.1016/j.ijheatmasstransfer.2016.02.084 ↗
10. Metamodel-based optimization of the Labyrinth Seal10.1515/meceng-2017-0005 ↗
11. Mao, X.F., Zhang, W.X., Qian, J.K., and Wu, M.H. (2017, January 25–30). CFD based multi-disciplinary optimization design of high performance deep sea seismic vessel. Proceedings of the ASME 36th International Conference on Ocean, Offshore and Arctic Engineering, Trondheim, Norway.
12. Jeong, C.H., Ko, M.K., Lee, M., and Lee, S.H. (2018). Numerical simulation of propagation characteristics of hazardous noxious substances spilled from transport ships. Appl. Sci., 8.10.3390/app8122409 ↗
13. Ko, M.K., Jeong, C.H., Lee, M., and Lee, S.H. (2019). Development of a metamodel for predicting near-field propagation of hazardous and noxious substances spilled from a ship. Appl. Sci., 9.10.3390/app9183838 ↗
14. Kriging models for global approximation in simulation-based multidisciplinary design optimization10.2514/2.1234 ↗
15. Wahba, G. (1990). Spline Models for Observational Data (CBMS-NSF Regional Conference Series in Applied Mathematics), Society for Industrial and Applied Mathematics.
16. The numerical computation of turbulent flows10.1016/0045-7825(74)90029-2 ↗
17. Sellar, B.G., Wakelam, G., Sutherland, D.R.J., Ingram, D.M., and Venugopal, V. (2018). Characterisation of tidal flows at the European marine energy center in the absence of ocean waves. Energies, 11.10.3390/en11010176 ↗
18. The evolution of velocity profiles and turbulent viscosity in a system of currents with wind-induced and density flows10.3103/S0027134914050075 ↗
19. Statistical analysis and critical review of navigational accidents in adverse weather conditions10.1016/j.oceaneng.2018.06.001 ↗
20. GRACAT: Software for grounding and collision risk analysis10.1016/S0951-8339(02)00009-6 ↗
21. (2018, December 18). Occupational Safety and Health Administration, OSHA Occupational Chemical Database, Available online: https://www.osha.gov/chemicaldata/chemResult.html?recNo=14.