CN113434807B - Method and system for predicting power of cable combustion fire source - Google Patents

Method and system for predicting power of cable combustion fire source Download PDF

Info

Publication number
CN113434807B
CN113434807B CN202110552689.9A CN202110552689A CN113434807B CN 113434807 B CN113434807 B CN 113434807B CN 202110552689 A CN202110552689 A CN 202110552689A CN 113434807 B CN113434807 B CN 113434807B
Authority
CN
China
Prior art keywords
cable
layer
fire
release rate
heat release
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202110552689.9A
Other languages
Chinese (zh)
Other versions
CN113434807A (en
Inventor
黄咸家
祝赫
杨苹
任兆鹰
彭岚
邓海青
邢朝亮
郑泽铭
吴晓冬
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Institute Of Industry Technology Guangzhou & Chinese Academy Of Sciences
China Nuclear Power Engineering Co Ltd
Original Assignee
Institute Of Industry Technology Guangzhou & Chinese Academy Of Sciences
China Nuclear Power Engineering Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Institute Of Industry Technology Guangzhou & Chinese Academy Of Sciences, China Nuclear Power Engineering Co Ltd filed Critical Institute Of Industry Technology Guangzhou & Chinese Academy Of Sciences
Priority to CN202110552689.9A priority Critical patent/CN113434807B/en
Publication of CN113434807A publication Critical patent/CN113434807A/en
Application granted granted Critical
Publication of CN113434807B publication Critical patent/CN113434807B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention discloses a method and a system for predicting the power of a cable burning fire source, wherein the method comprises the steps of inputting the single-sided heat release rate of a cable and the predicted parameters in the burning process of a transverse multi-layer cable device into a transverse multi-layer cable fire source power model; and outputting the power of the fire source of the transverse multi-layer cable fire. The invention adopts HRRPUA measured by a cone calorimeter experiment as direct input, does not need to calculate the duration of fire at a given position, simultaneously avoids uncertainty introduced in model prediction due to measuring the combustion heat and the carbon yield of the cable, and improves the accuracy of the model to a certain extent. In addition, the improved model can establish the connection between the small-scale cable test data and the large-scale cable fire experiment, and the calculation time cost is saved to a certain extent.

Description

Method and system for predicting power of cable combustion fire source
Technical Field
The invention relates to a combustion fire source power prediction technology, in particular to a method and a system for predicting cable combustion fire source power.
Background
In a nuclear power plant fire accident, cables are considered as an important fire source. Cable fire accident conditions, particularly those related to safe reactor shutdowns, are of particular concern to nuclear plant personnel. The power of the fire source at the cable site involved in a nuclear power plant is also a major concern for the nuclear power plant staff. The transverse cable bridge is a common structural form in a nuclear power station, calculates the heat release rate of transverse cable combustion, and has a certain practical value. Currently, a method for calculating the power of a full-scale cable fire disaster fire source is commonly known as a method for predicting a horizontal cable bridge fire (such as The Flame Spread over Horizontal Cable Trays, FLACS-CAT) by using a simple empirical model based on a computational fluid dynamics (Computational Fluid Dynamics, CFD) method. However, simulating cables based on CFD is very time consuming. The method based on the FLACS-CAT model has prediction uncertainty caused by inconsistent cable combustion heat and carbon yield.
Patent document CN104951627a discloses a fire analysis method and system for a transverse multi-layer cable bridge of a nuclear power plant, the method comprising the steps of: acquiring the characteristic information of a fire disaster initial fire source of a transverse multi-layer cable bridge of a nuclear power plant; acquiring the real-time heat release rate of each layer of cable bridge in the fire disaster process according to the characteristic information of an initial fire source, the geometric structure parameters of the transverse multi-layer cable bridge, the longitudinal spreading rate of the cable flame and the characteristic parameters of the cable materials; acquiring fire risk characteristic parameters in a limited space according to the initial fire source characteristic information and the real-time heat release rate of each layer of cable bridge; and comparing the fire risk characteristic parameters with the quantitative indexes, and judging the risk of the fire of the transverse multi-layer cable bridge of the nuclear power plant. The method and the device follow the conservation principle of the nuclear power plant, fully consider the difference between the single cable bridges in the transverse multi-layer cable bridge, have higher analysis accuracy, can more reasonably analyze the fire risk of the transverse multi-layer cable bridge of the nuclear power plant, and provide favorable support for the fireproof design of the cable bridge. But the method can not realize the prediction of the power of the fire source of the full-scale cable fire.
Disclosure of Invention
The invention aims to solve the problem of uncertainty in prediction caused by inconsistent cable combustion heat and carbon yield in the background art, and provides a method and a system for predicting cable combustion fire source power, so as to avoid uncertainty in prediction caused by inconsistent cable combustion heat value and carbon yield.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
in a first aspect, an embodiment of the present invention provides a method for predicting power of a cable combustion fire source, including:
inputting the single-area heat release rate of the cable and the predicted parameters in the combustion process of the transverse multi-layer cable device into a transverse multi-layer cable fire disaster fire source power model;
and outputting the power of the fire source of the transverse multi-layer cable fire.
Further, the cable single-area heat release rate is obtained by:
and (5) carrying out combustion test on the cable by using a cone calorimeter to obtain the single-area heat release rate.
Further, the parameters in the combustion process of the transverse multi-layer cable device include:
the number of cables in each layer of tray of the cable bridge is n; diameter of cable D cab The method comprises the steps of carrying out a first treatment on the surface of the Vertical distance between two layers of electric cables, h i The method comprises the steps of carrying out a first treatment on the surface of the Total number of layers of cable, N layer The method comprises the steps of carrying out a first treatment on the surface of the Length of cable i layer burning, L b,i The method comprises the steps of carrying out a first treatment on the surface of the The cone calorimeter measured the heat release rate per unit area under heat flow exposure,
Figure BDA0003075778000000021
ignition time of the ith layer x, t ignni (x) The method comprises the steps of carrying out a first treatment on the surface of the Longitudinal expansion angle theta in case of cable fire.
Further, the transverse multi-layer cable fire disaster fire source power model is as follows:
Figure BDA0003075778000000022
wherein ,
Figure BDA0003075778000000023
-total heat release rate, kw;
n: the number of cables in each layer of tray of the cable bridge;
D cab : the diameter of the cable, m;
N layer for the total number of layers of the cable (N layer ≥1);
L bni : the burning length of the ith layer of the cable, m;
Figure BDA0003075778000000024
the heat release rate, kw, measured per unit area of the cone calorimeter under heat flow exposure;
t ign,i (x) The ignition time of the ith layer x, s.
Further, the calculation formula of the burning length of each layer of cable is as follows:
L b,i+1 =L b,i +2h i tanθ
wherein ,
h i -the vertical distance between the two layers of electrical cables, m;
θ—longitudinal spread angle in case of cable fire, °.
In a second aspect, embodiments of the present invention provide a system for predicting power of a cable combustion fire source, comprising:
the input module is used for inputting the single-area heat release rate of the cable and the predicted parameters in the combustion process of the transverse multi-layer cable device;
the model module is used for storing a transverse multi-layer cable fire source power model and calculating the data input by the input module;
and the output module is used for outputting the result calculated by the model module.
Further, the cable single-area heat release rate is obtained by:
and (5) carrying out combustion test on the cable by using a cone calorimeter to obtain the single-area heat release rate.
Further, the parameters in the combustion process of the transverse multi-layer cable device include:
the number of cables in each layer of tray of the cable bridge is n; diameter of cable D cab The method comprises the steps of carrying out a first treatment on the surface of the Vertical distance between two layers of electric cables, h i The method comprises the steps of carrying out a first treatment on the surface of the Total number of layers of cable, N layer The method comprises the steps of carrying out a first treatment on the surface of the Length of cable i layer burning, L b,i The method comprises the steps of carrying out a first treatment on the surface of the The cone calorimeter measured the heat release rate per unit area under heat flow exposure,
Figure BDA0003075778000000031
ignition time of the ith layer x, t ign,i (x) The method comprises the steps of carrying out a first treatment on the surface of the Longitudinal expansion angle theta in case of cable fire.
Further, the transverse multi-layer cable fire disaster fire source power model is as follows:
Figure BDA0003075778000000032
wherein ,
Figure BDA0003075778000000033
-total heat release rate, kw; />
n: the number of cables in each layer of tray of the cable bridge;
D cab : the diameter of the cable, m;
N layer for the total number of layers of the cable (N layer ≥1);
L b,i : the burning length of the ith layer of the cable, m;
Figure BDA0003075778000000034
the heat release rate, kw, measured per unit area of the cone calorimeter under heat flow exposure;
y ign,i (x) Ith horizonSetting the ignition time of x and s.
Further, the calculation formula of the burning length of each layer of cable is as follows:
L b,i+1 =L b,i +2h i tanθ
wherein ,
h i -the vertical distance between the two layers of electrical cables, m;
θ—longitudinal expansion angle in case of cable fire, °
Compared with the prior art, the invention has the beneficial effects that:
the invention adopts HRRPUA measured by a cone calorimeter experiment as direct input, does not need to calculate the duration of fire at a given position, simultaneously avoids uncertainty introduced in model prediction due to measuring the combustion heat and the carbon yield of the cable, and improves the accuracy of the model to a certain extent. In addition, the improved model can establish the connection between the small-scale cable test data and the large-scale cable fire experiment, and the calculation time cost is saved to a certain extent.
Drawings
FIG. 1 is a flow chart of a method for predicting the power of a cable combustion fire source provided in embodiment 1 of the present invention;
FIG. 2 is a schematic diagram of a method for predicting the power of a cable combustion fire source provided in embodiment 1 of the invention;
FIG. 3 shows the change in total mass in cone calorimeter versus HRRPUA in an experiment;
FIG. 4 is a comparison of the predicted heat release rate results with the experimental results;
FIG. 5 is a comparison of the heat release rate prediction result of MT-7 with the experimental result;
fig. 6 is a schematic diagram of a system for predicting power of a cable combustion fire source according to an embodiment of the present invention.
Detailed Description
Referring to fig. 1, the method for predicting the power of a cable combustion fire source provided by the embodiment of the invention mainly comprises the following steps:
101. inputting the single-area heat release rate of the cable and the predicted parameters in the combustion process of the transverse multi-layer cable device into a transverse multi-layer cable fire disaster fire source power model;
102. and outputting the power of the fire source of the transverse multi-layer cable fire.
Specifically, the single-sided heat release rate of the cable is obtained by:
and carrying out a small-scale combustion test on the cable by using a cone calorimeter to obtain the single-area heat release rate.
And the parameters in the combustion process of the transverse multilayer cable device comprise:
the number of cables in each layer of tray of the cable bridge is n; diameter of cable D cab The method comprises the steps of carrying out a first treatment on the surface of the Vertical distance between two layers of electric cables, h i The method comprises the steps of carrying out a first treatment on the surface of the Total number of layers of cable, N layer The method comprises the steps of carrying out a first treatment on the surface of the Length of cable i layer burning, L b,i The method comprises the steps of carrying out a first treatment on the surface of the The cone calorimeter measured the heat release rate per unit area under heat flow exposure,
Figure BDA0003075778000000051
ignition time of the ith layer x, t ign,i (x) The method comprises the steps of carrying out a first treatment on the surface of the Longitudinal expansion angle theta in case of cable fire.
The transverse multi-layer cable fire disaster fire source power model is as follows:
Figure BDA0003075778000000052
wherein ,
Figure BDA0003075778000000053
-total heat release rate, kw;
n: the number of cables in each layer of tray of the cable bridge;
D cab : the diameter of the cable, m;
N layer for the total number of layers of the cable (N layer ≥1);
L b,i : the burning length of the ith layer of the cable, m;
Figure BDA0003075778000000054
the heat release rate, kw, measured per unit area of the cone calorimeter under heat flow exposure;
t ign,i (x) The ignition time of the ith layer x, s.
The calculation formula of the burning length of each layer of cable is as follows:
L b,i+1 =L b,i +2h i tanθ
wherein ,
h i -the vertical distance between the two layers of electrical cables, m;
θ—longitudinal spread angle in case of cable fire, °.
According to the scheme, the calculation formula of the burning length of each layer of cable in the calculation formula of the fire source power of the transverse multi-layer cable fire disaster is as follows:
L b,i+1 =L b,i +2h i tanθ
wherein ,
h i -the vertical distance between the two layers of electrical cables, m;
θ—longitudinal spread angle in case of cable fire, °.
In conclusion, the invention adopts the heat release rate per unit area measured by the cone calorimeter experiment as the direct input, and avoids the error of estimating the power of the cable burning fire source caused by the measurement uncertainty of the cable burning heat and the carbon production rate. As shown in fig. 2, the method establishes the connection between the small-scale cable test data and the large-scale cable fire experiment, and saves the time cost of high-precision numerical simulation calculation.
The method is further described in connection with an application scenario example:
1. prediction of experimental data based on cable bridge fire
The parameters of the transverse cable multilayer experimental device are as follows: the cable layers arranged transversely are 1m long and 0.3m wide, and the tray can be 3 layers of cables. There is no partition between adjacent cable layers, so that flames can freely propagate up to the cables of the upper layers. The spacing between two adjacent cable layers is 0.15m. The cable was a YZ medium rubber cable with a diameter of 8mm, a mass per unit length of 0.03kg/m and a heat of combustion of 7.52kJ/g. The nominal voltage range of the cable is 300/500V. The input data of the calculation method for predicting the fire source power of the transverse multilayer cable fire disaster shown in the table 1 are obtained through experiments.
Table 1 input parameter values for cone calorimeter experiments
Total number of layers Average expansion ratio (m/h) Combustion length (m) Ignition time(s) Diffusion angle (°)
Layer 3 4.30,4.37,4.49 0.55,0.61,0.56 17,15,9 0
Wherein the propagation length of the flame of each layer of cable is basically equal. Therefore, the diffusion angle is selected to be 0 °. The experimental values of the heat release rate per unit area of fire are shown in fig. 3. The calculated and experimental values of the heat release rate in this embodiment are obtained by inputting the above input parameters into the method for predicting the power of the cable burning fire source provided by the present invention, as shown in fig. 4.
2. Prediction based on literature data
Verification of the method was performed based on predicted cable fire HRR data (the experimental project of the endless spin trarack construction FIRE, CHRISTIFIRE) published by the american nuclear management committee nuclear management office (US-NRC). The experimental data selected therein were the flame spread to the end of all cable layers in the experimental series 1, numbered MT-7.
TABLE 2MT-7 scene improvement model input parameter values
Figure BDA0003075778000000061
The calculated and experimental values of the heat release rate of this embodiment are obtained by inputting the above-mentioned input parameters into the method provided by the present invention, as shown in fig. 5.
Implementation 2:
referring to fig. 6, a system for predicting power of a cable combustion fire source according to the present embodiment includes:
an input module 401 for inputting the cable single-area heat release rate and the predicted parameters in the combustion process of the transverse multi-layer cable device;
the model module 402 is used for storing a transverse multi-layer cable fire source power model and calculating the data input by the input module;
and the output module 403 is configured to output the result calculated by the model module.
Further, the cable single-area heat release rate is obtained by:
and (5) carrying out combustion test on the cable by using a cone calorimeter to obtain the single-area heat release rate.
Further, the parameters in the combustion process of the transverse multi-layer cable device include:
the number of cables in each layer of tray of the cable bridge is n; diameter of cable D cab The method comprises the steps of carrying out a first treatment on the surface of the Vertical distance between two layers of electric cables, h i The method comprises the steps of carrying out a first treatment on the surface of the Total number of layers of cable, N layer The method comprises the steps of carrying out a first treatment on the surface of the Length of cable i layer burning, L b,i The method comprises the steps of carrying out a first treatment on the surface of the The cone calorimeter measured the heat release rate per unit area under heat flow exposure,
Figure BDA0003075778000000071
ignition time of the ith layer x, t ign,i (x) The method comprises the steps of carrying out a first treatment on the surface of the Longitudinal expansion angle theta in case of cable fire.
Further, the transverse multi-layer cable fire disaster fire source power model is as follows:
Figure BDA0003075778000000072
wherein ,
Figure BDA0003075778000000073
-total heat release rate, kw;
n: the number of cables in each layer of tray of the cable bridge;
D cab : the diameter of the cable, m;
N layer for the total number of layers of the cable (N layer ≥1);
L b,i : the burning length of the ith layer of the cable, m;
Figure BDA0003075778000000074
the heat release rate, kw, measured per unit area of the cone calorimeter under heat flow exposure;
t ign,i (x) The ignition time of the ith layer x, s.
Further, the calculation formula of the burning length of each layer of cable is as follows:
L b,i+1 =L b,i +2h i tanθ
wherein ,
h i -the vertical distance between the two layers of electrical cables, m;
θ—longitudinal spread angle in case of cable fire, °.
In conclusion, the HRRPUA measured by the cone calorimeter experiment is used as direct input, the fire duration of a given position does not need to be calculated, meanwhile, uncertainty introduced in model prediction due to measurement of the combustion heat and the carbon yield of the cable is avoided, and the accuracy of the model is improved to a certain extent. In addition, the improved model can establish the connection between the small-scale cable test data and the large-scale cable fire experiment, and the calculation time cost is saved to a certain extent.
It will be apparent to those skilled in the art from this disclosure that various other changes and modifications can be made which are within the scope of the invention as defined in the appended claims.

Claims (4)

1. A method of predicting power of a cable combustion fire source, comprising:
inputting the single-area heat release rate of the cable and the predicted parameters in the combustion process of the transverse multi-layer cable device into a transverse multi-layer cable fire disaster fire source power model;
outputting the fire source power of the transverse multi-layer cable fire;
the single-sided heat release rate of the cable is obtained by the following method:
performing combustion test on the cable through a cone calorimeter to obtain a single-area heat release rate;
parameters in the combustion process of the transverse multilayer cable device comprise:
the number of cables in each layer of tray of the cable bridge is n; diameter of cable D cab The method comprises the steps of carrying out a first treatment on the surface of the Vertical distance between two layers of electric cables, h i The method comprises the steps of carrying out a first treatment on the surface of the Total number of layers of cable, N layer The method comprises the steps of carrying out a first treatment on the surface of the Length of cable i layer burning, L b,i The method comprises the steps of carrying out a first treatment on the surface of the The cone calorimeter measured the heat release rate per unit area under heat flow exposure,
Figure FDA0004119398590000011
ignition time of the ith layer x, t ign,i (x) The method comprises the steps of carrying out a first treatment on the surface of the Longitudinal expansion angle theta when cable fires;
the transverse multi-layer cable fire disaster fire source power model is as follows:
Figure FDA0004119398590000012
wherein ,
Figure FDA0004119398590000013
-total heat release rate, kw;
n: the number of cables in each layer of tray of the cable bridge;
D cab : the diameter of the cable, m;
N layer for the total number of layers of the cable (N layer ≥1);
L b,i : the burning length of the ith layer of the cable, m;
Figure FDA0004119398590000014
the heat release rate, kw, measured per unit area of the cone calorimeter under heat flow exposure;
t ign,i (x) The ignition time of the ith layer x, s.
2. The method for predicting power of a cable fire source of claim 1 wherein the cable fire length of each layer is calculated as:
L b,i+1 =L b,i +2h i tanθ
wherein ,
h i -the vertical distance between the two layers of electrical cables, m;
θ—longitudinal spread angle in case of cable fire, °.
3. A system for predicting power of a cable combustion fire source, comprising:
the input module is used for inputting the single-area heat release rate of the cable and the predicted parameters in the combustion process of the transverse multi-layer cable device;
the model module is used for storing a transverse multi-layer cable fire source power model and calculating the data input by the input module;
the output module is used for outputting the result calculated by the model module;
the single-sided heat release rate of the cable is obtained by the following method:
performing combustion test on the cable through a cone calorimeter to obtain a single-area heat release rate;
parameters in the combustion process of the transverse multilayer cable device comprise:
the number of cables in each layer of tray of the cable bridge is n; diameter of cable D cab The method comprises the steps of carrying out a first treatment on the surface of the Vertical distance between two layers of electric cables, h i The method comprises the steps of carrying out a first treatment on the surface of the Total number of layers of cable, N layer The method comprises the steps of carrying out a first treatment on the surface of the Length of cable i layer burning, L b,i The method comprises the steps of carrying out a first treatment on the surface of the The cone calorimeter measured the heat release rate per unit area under heat flow exposure,
Figure FDA0004119398590000021
ignition time of the ith layer x, t ign,i (x) The method comprises the steps of carrying out a first treatment on the surface of the Longitudinal expansion angle theta when cable fires;
the transverse multi-layer cable fire disaster fire source power model is as follows:
Figure FDA0004119398590000022
wherein ,
Figure FDA0004119398590000023
-total heat release rate, kw;
n: the number of cables in each layer of tray of the cable bridge;
D cab : the diameter of the cable, m;
N layer for the total number of layers of the cable (N layer ≥1);
L b,i : the burning length of the ith layer of the cable, m;
Figure FDA0004119398590000024
the heat release rate, kw, measured per unit area of the cone calorimeter under heat flow exposure;
t ign,i (x) The ignition time of the ith layer x, s.
4. A system for predicting cable fire source power as claimed in claim 3 wherein the cable fire length of each layer is calculated as:
L b,i+1 =L b,i +2h i tanθ
wherein ,
h i -the vertical distance between the two layers of electrical cables, m;
θ—longitudinal spread angle in case of cable fire, °.
CN202110552689.9A 2021-05-20 2021-05-20 Method and system for predicting power of cable combustion fire source Active CN113434807B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110552689.9A CN113434807B (en) 2021-05-20 2021-05-20 Method and system for predicting power of cable combustion fire source

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110552689.9A CN113434807B (en) 2021-05-20 2021-05-20 Method and system for predicting power of cable combustion fire source

Publications (2)

Publication Number Publication Date
CN113434807A CN113434807A (en) 2021-09-24
CN113434807B true CN113434807B (en) 2023-04-28

Family

ID=77802531

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110552689.9A Active CN113434807B (en) 2021-05-20 2021-05-20 Method and system for predicting power of cable combustion fire source

Country Status (1)

Country Link
CN (1) CN113434807B (en)

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104951627A (en) * 2015-07-14 2015-09-30 广州中国科学院工业技术研究院 Fire analysis method and system for horizontal multi-layer cable bridges of nuclear power plant

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1122700B1 (en) * 2000-02-03 2008-11-19 Siemens Aktiengesellschaft Method and device for configuring a tunnel fire detection system
CN108681649A (en) * 2018-05-24 2018-10-19 西南交通大学 City integrated piping lane cable cabin fire disaster simulation method and device
CN109632793A (en) * 2018-12-13 2019-04-16 国网陕西省电力公司 Experiment porch and method for the research of cable tunnel fire temperature field simulated behavior
CN111159960B (en) * 2019-12-31 2023-05-12 国网陕西省电力公司西安供电公司 Numerical simulation method for fire caused by cable fault in tunnel

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104951627A (en) * 2015-07-14 2015-09-30 广州中国科学院工业技术研究院 Fire analysis method and system for horizontal multi-layer cable bridges of nuclear power plant

Also Published As

Publication number Publication date
CN113434807A (en) 2021-09-24

Similar Documents

Publication Publication Date Title
Zhou et al. Influence of constraint effect of sidewall on maximum smoke temperature distribution under a tunnel ceiling
Carvel et al. Determination of the flammability properties of polymeric materials: A novel method
CN109118409B (en) Natural gas pipeline fire accident hazard analysis method based on risk degree
CN113433057B (en) Buried metal pipeline stray current corrosion rate prediction device and method
Li et al. Numerical simulation of Runehamar tunnel fire tests
CN111159960A (en) Numerical simulation method for fire caused by cable fault in tunnel
Sathiah et al. The role of CFD combustion modeling in hydrogen safety management—II: Validation based on homogeneous hydrogen–air experiments
Volchkov et al. Characterization of the flame blow-off conditions in a laminar boundary layer with hydrogen injection
CN104951627B (en) Nuclear power plant's transverse direction multi-layer cable crane span structure fire disaster analyzing method and system
CN113434807B (en) Method and system for predicting power of cable combustion fire source
Tang et al. Mass burning rate and merging behaviour of double liquid pool fires under cross winds
Lu et al. Study on smoke temperature profile in bifurcated tunnel fires with various bifurcation angles under natural ventilation
Weisenpacher et al. Computer simulation of fire in a tunnel using parallel version of FDS
Rao et al. Effects of congestion and confining walls on turbulent deflagrations in a hydrogen storage facility-part 2: Numerical study
El-Genk et al. Validation of gasification model for NBG-18 nuclear graphite
Zhou et al. Experimental and numerical investigation of gas diffusion under an urban underground construction
Huang et al. A global model for heat release rate prediction of cable burning on vertical cable tray in different fire scenarios
CN110927030A (en) Pipeline test platform and aerosol deposition rate determination method based on same
Li et al. Fire Resistance Test and Numerical Simulation on the Tube Structure of Steel–Concrete–Steel Immersed Tube Tunnel
CN105574335A (en) Parallel stochastic simulation method for predicting concentration of atmospheric particulate matters
Bortels et al. Three-dimensional boundary element method and finite element method simulations applied to stray current interference problems. A unique coupling mechanism that takes the best of both methods
Wang et al. Transport time lag effect on smoke flow characteristics in long-narrow spaces
Yang et al. Les of a Space-Developing Natural Convection Boundary Layer in Water Along a Vertical Wall with High Heat Flux
Yang et al. Modeling carbon black trace in building fire and its validation
El-Genk Graphite oxidation simulation in HTR accident conditions

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant