SVM application in hazard assessment: Self-heating for sulfurized rust

Dou, Zhan; Mébarki, Ahmed; Ni, Lei; Jiang, Jc; Cai, Zl; Zhang, Mg; Zhao, Shengli; Zhang, Wx; Pensée, Vincent

doi:10.1016/j.jlp.2015.11.011

Cited by 14 publications

(2 citation statements)

References 26 publications

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“…In addition to the abovementioned research, the point of view that the spontaneous combustion point and the maximum temperature rise rate time TMR ad under adiabatic conditions should be considered the discriminant parameters of the possibility of the spontaneous combustion of PISs is proposed by Zhang et al [21]. Dou et al [22] established a prediction model using the Support Vector Machine algorithm to predict the maximum temperature of the PISs during oxidation and spontaneous combustion based on a large amount of experimental data.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment Method for Spontaneous Combustion of Pyrophoric Iron Sulfides

Dou

Chen

2023

Sustainability

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Pyrophoric iron sulfides (PISs) can spontaneously oxidize and release heat when they come into contact with air, resulting in fire and explosion accidents. In order to reduce the risk of spontaneous combustion, risk assessment methods need to be developed. In this paper, the preparation experiment and oxidation experiment of PISs are carried out to obtain the data of solid phase temperature and time, and the temperature–time curve is drawn. Based on the risk assessment method of thermal runaway and the oxidation experiment law of PISs, the risk assessment index system of spontaneous combustion is established, and the possibility and consequence severity of spontaneous combustion are classified. On this basis, the risk assessment matrix is used to determine the risk level of spontaneous combustion, and the risk assessment method of spontaneous combustion of PISs is established. Finally, nine groups of different oxidation processes of PISs are used to verify that the method is reasonable and effective.

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Section: Introductionmentioning

confidence: 99%

Risk Assessment Method for Spontaneous Combustion of Pyrophoric Iron Sulfides

Dou

Chen

2023

Sustainability

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“…The effects of the existence of water, oil, and monocrystal sulfur were discussed by Li [22]. Mebarki [23] selected five governing parameters to assess the oxidation self-heating hazard of sulfurized rust, for particular ambient conditions in crude oil tanks, including water content, mass of sulfurized rust, operating temperature, air flow rate, and oxygen concentration in the respiratory or safety valve.…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis of the Spontaneous Combustion Accidents of Oil Storage Tanks Containing Sulfur

Cai

2021

Processes

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In order to study various influencing factors of spontaneous combustion accidents of sulfur-containing oil storage tanks, this paper constructed a two-dimensional model of the storage tank wall by COMSOL Multiphysics software. The proposed model takes temperature change trend as an observation index to explore the heat transfer process of the tank wall. By fitting the function curve of heat release with oxidation reaction temperature of sulfur corrosion products and comparing with constant heat sources, it is found that heat source intensity will affect the temperature growth trend of tank spontaneous combustion. In addition, the air convection heat transfer coefficient represents the interference degree of external environment to the spontaneous combustion heating process, and the wall heating rate decreases with the increase of air convection heat transfer coefficient. The different heat release rates in varying oxidation stages will lead to distinct temperature growth trends. The larger the air convection heat transfer coefficient, the greater the temperature difference between the inner and outer walls of the tank, which is not conducive to the detection of the abnormal temperature of the heat source. The difference of thermal insulation and thermal conductivity of tank materials also affects the wall heat transfer, so the material properties should be considered comprehensively in actual production. The research results can provide a research basis and a theoretical basis for monitoring, prevention, and control of spontaneous combustion of sour oil storage tanks.

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Twin support vector machine: theory, algorithm and applications

Ding

Zhang

et al. 2016

Neural Comput & Applic

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SVM application in hazard assessment: Self-heating for sulfurized rust

Cited by 14 publications

References 26 publications

Risk Assessment Method for Spontaneous Combustion of Pyrophoric Iron Sulfides

Risk Assessment Method for Spontaneous Combustion of Pyrophoric Iron Sulfides

Numerical Analysis of the Spontaneous Combustion Accidents of Oil Storage Tanks Containing Sulfur

Twin support vector machine: theory, algorithm and applications

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