CN106897517A - Line of high-speed railway gale monitoring optimizes automatic search method of arranging net - Google Patents
Line of high-speed railway gale monitoring optimizes automatic search method of arranging net Download PDFInfo
- Publication number
- CN106897517A CN106897517A CN201710097147.0A CN201710097147A CN106897517A CN 106897517 A CN106897517 A CN 106897517A CN 201710097147 A CN201710097147 A CN 201710097147A CN 106897517 A CN106897517 A CN 106897517A
- Authority
- CN
- China
- Prior art keywords
- system module
- line
- parameter
- speed railway
- bridge
- 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.)
- Granted
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 85
- 238000000034 method Methods 0.000 title claims abstract description 42
- 241001501039 Blaps Species 0.000 claims description 21
- 238000011160 research Methods 0.000 claims description 16
- 238000005457 optimization Methods 0.000 claims description 12
- 230000008859 change Effects 0.000 claims description 11
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000012876 topography Methods 0.000 claims description 4
- 239000004744 fabric Substances 0.000 abstract description 5
- 238000012360 testing method Methods 0.000 description 15
- 230000002349 favourable effect Effects 0.000 description 9
- 230000008569 process Effects 0.000 description 5
- 230000000694 effects Effects 0.000 description 4
- 238000004088 simulation Methods 0.000 description 4
- 238000009412 basement excavation Methods 0.000 description 3
- 238000013461 design Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000000178 monomer Substances 0.000 description 2
- 238000011002 quantification Methods 0.000 description 2
- 230000007704 transition Effects 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 241000271559 Dromaiidae Species 0.000 description 1
- 241000283986 Lepus Species 0.000 description 1
- 240000007594 Oryza sativa Species 0.000 description 1
- 235000007164 Oryza sativa Nutrition 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 230000001965 increasing effect Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 235000009566 rice Nutrition 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 239000004575 stone Substances 0.000 description 1
- 238000003079 width control Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- Computer Hardware Design (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- General Engineering & Computer Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Aerodynamic Tests, Hydrodynamic Tests, Wind Tunnels, And Water Tanks (AREA)
Abstract
Optimize automatic search method of arranging net the invention discloses a kind of line of high-speed railway gale monitoring, comprise the following steps：Determine the corresponding system module of the various terrain environments of line of high-speed railway, to limited variable condition of individual module different topographic characteristics parameter acquiring, using corresponding wind load charge values as control data point, calculated by the way of interpolation in the corresponding scope of actual landform situation under the conditions of continuous variable operating mode value, the corresponding wind load charge values interpolated data storehouse of the system module, search for and determine maximum wind load charge values, under the conditions of continuous variable operating mode value in the range of actual landform, gale monitoring optimizes monitoring point of arranging net to the as system module along the line.The automatic search method can provide quantitative basis for high-speed railway gale monitoring station along circuit longitudinal direction Optimizing, the Optimizing can react the real-time high wind conditions of the landform, easy to operate, precision is higher, is particularly suited for the optimum choice of the Along Railway gale monitoring cloth site of High aititude mountain area complexity landform.
Description
Technical field
The present invention relates to a kind of railway construction of railways field of measuring technique, more particularly to a kind of line of high-speed railway strong wind prison
Optimization is surveyed to arrange net automatic search method.
Background technology
High-speed railway plays increasing effect in present traffic and transport field, but present bullet train exists
It is very sensitive to the particularly horizontal wind action of strong wind on high speed railway track in running, driving of the wind effect to train
Safety and on schedule operation bring greatly challenge.For example, and in " the Bai Lifeng areas " of China's Lan-xing Railway, since being open to traffic,
Because big wind-induced train derailing, capsizing case are up to 30,110, lorry is turned over；2003, because strong wind off-period is up to 50
Hour, cause 28,000,000 yuan of direct economic loss.
Therefore, in order to reduce influence of the strong wind to bullet train safe operation, current high-speed railway both domestic and external is taken precautions against natural calamities peace
Total system typically all uses wind monitoring system, during the Design of High-speed Railway of China, pair set to the related of wind monitoring system
The standard of putting has carried out clear and definite regulation, including wind monitoring station set up wind friction velocity, density of setting along the line, installation method and
Type of sensor etc..But, even if many high-speed railways are provided with wind monitoring system both at home and abroad, because wind effect causes
Train safety and the accident run on schedule but happen occasionally, the reliability and efficiency of operation of wind monitoring system also have very big carrying
Rise space.
For example, gale monitoring system is set up along the Shinkansen of eastern Japanese railway company, 2005, in monitoring system just
Often in the case of operation, " spike of rice 14 " train but derails under the speed of 100km/h, causes 4 people dead, and 33 people are injured, thing
The main cause of investigation result display train is subjected to afterwards beam wind effect exactly train derailment and overturning, and wind monitoring system is not
Can give warning in advance.Early in the end of the year 2004, just gale monitoring system has been installed in the air port along Xinjiang Railway to Urumqi Railway Bureau of China
System, 2007, but still there occurs charming appearance and behaviour train derailing disturbing accident, cause 4 people dead, and people more than 30 is injured., typhoon in 2013
" Lepus " is passed by, and wide Shenzhen and Hong Kong " Harmony " EMUs that ShenZhen,GuangDong station originates all are stopped transport and are up to two day time, and typhoon is true
Active influence high ferro circuit operation but only have so short dozens of minutes, gale monitoring system it is overly conservative, this also has a strong impact on
The efficiency that high-speed railway should be played.
In sum, the method for arranging of the monitoring point along the line of existing gale monitoring system, also has the following disadvantages：
(1) air measuring station lacks the reconnaissance foundation of scientific quantification along the determination that high ferro circuit is longitudinally arranged position, sets and surveys wind
Stand catch along least favorable wind monitoring point it is inefficient；China《Design of High-speed Railway specification》Middle regulation mountain area bealock, gorge
Paddy, the average headway of river valley wind monitoring point are 1~5km, and the section spacing such as bridge, embankment high is then 5~10km；But in reality
Engineering-environment in, for the landform node of this category feature, often with the feature of " miniclimate ", high ferro circuit wind environment is to week
The change of exclosure shape is very sensitive, in specification advise 1~5km or 5~10km wind monitoring point layout principle it is excessively extensive,
Precision is relatively low, and the scientific basis for not possessing quantization, practical operation difficulty is big；
(2) do not formed a set of normative and reasonable along the reconnaissance of wind monitoring station standard and method, air measuring station cloth at the scene
During putting, big with artificial feel and empirically determined composition, operating efficiency is not high.
Therefore, letter wait to need it is a kind of in real time, accurately and efficiently gale monitoring system, especially setting in gale monitoring system
During vertical, it is basis and the premise of whole system Effec-tive Function that the optimization of monitoring point along the line is arranged net, for High Speed Railway Trains
Traffic safety and on schedule operation it is critical that.
The content of the invention
It is an object of the invention to overcome the existing gale monitoring system position in the presence of prior art really
Surely the reconnaissance of scientific quantification is lacked according to, precision is relatively low, operating difficulties above-mentioned deficiency, there is provided a kind of line of high-speed railway strong wind
Monitoring optimizing is arranged net automatic search method, and the reconnaissance of arranging net of the gale monitoring system can more optimize, and make gale monitoring system
Real-time high wind conditions can be reacted, the wind load of its reflection is relatively more accurate, and efficiently.
In order to realize foregoing invention purpose, the invention provides following technical scheme：
A kind of line of high-speed railway gale monitoring optimizes automatic search method of arranging net, and comprises the following steps：
Step one, determine the various terrain environments of line of high-speed railway, the transitional region between at least two different terrains
As system module, system module group is set up；
Step 2, to the features of terrain parameter of each system module in system module group as research variable, set up described
System module correspondence independent model in wind tunnel or CFD numerical simulators；
In step 3, the features of terrain parameter for including each system module, change features of terrain parameter value to obtain
Limited variable condition, by model in wind tunnel or CFD numerical simulators, obtaining the corresponding wind of each variable condition
Load value, and as the corresponding control data point of the variable condition；
Step 4, the limited variable condition according to the system module and corresponding limited control data point, according to
In the corresponding scope of actual landform situation under the conditions of continuous variable operating mode value, by the way of interpolation calculation, the system is obtained
Corresponding each wind load charge values under the conditions of continuous variable operating mode value in the scope in the transitional region of module of uniting, set up
Each variable condition correspondence wind load charge values interpolated data storehouse of the system module independence；
Step 5, for the interpolated data of wind load charge values described in step 4 storehouse, search for and determine maximum wind load charge values, and
To the corresponding variable condition of maximum wind load charge values, the corresponding topographical position in the system module of the variable condition, as
Under the conditions of continuous variable operating mode value in scope described in actual landform, gale monitoring optimizes prison of arranging net to the system module along the line
Measuring point；
Step 6, according to actual landform characteristic parameter, determine corresponding system module, repeat step three to step 5, you can
Obtain the corresponding gale monitoring along the line of the features of terrain parameter and optimize monitoring point of arranging net.
The line of high-speed railway gale monitoring optimizes automatic search method of arranging net, by determining line of high-speed railway first
The corresponding system module of various terrain environments, then for the research process of individual module in, obtained based on different topographic characteristics parameter
The limited variable condition result of study for taking, using this by corresponding wind load charge values as control data point, by the way of interpolation
Calculate each variable of the system module independence in the corresponding scope of actual landform situation under the conditions of continuous variable operating mode value
Operating mode correspondence wind load charge values interpolated data storehouse, so that formed for individual system block search and determine maximum wind load charge values, i.e.,
It is the system module under the conditions of continuous variable operating mode value in scope described in actual landform, gale monitoring optimization along the line is arranged net prison
Measuring point (will least favorable gale monitoring station be defined as optimize location arrangements), is longitudinal direction of the high-speed railway gale monitoring station along circuit
Optimizing provides the foundation for quantifying, and gale monitoring point is reacted the real-time high wind conditions of the landform, the wind of its reflection
Load is relatively more accurate, and the method is easy to operate, precision is higher, is particularly suited for the railway edge of High aititude mountain area complexity landform
The optimum choice of line gale monitoring cloth site.
Preferably, the line of high-speed railway terrain environment system module in the step one includes：General bridge, tunnel,
Valley bridge, embankment high, heavy cut, 6 kinds of landform nodes of Blaps femaralis, according to the principle of combination of two, according to actual conditions, shape
Into general bridge+tunnel, general bridge+valley bridge, general bridge+embankment high, general bridge+heavy cut, general bridge+curved
Road superelevation, tunnel+valley bridge, valley bridge+embankment high, valley bridge+heavy cut, valley bridge+Blaps femaralis, embankment high
+ heavy cut, embankment+Blaps femaralis high, heavy cut+Blaps femaralis amount to 12 system modules.
Wherein above-mentioned general bridge refers to build in physical features is relatively flat, depletion region common bridge.
Tunnel refers to the underground structure being embedded in stratum, especially traffic tunnel.
Valley bridge refers to the bridge structure with bearing capacity used across Valleys such as river, mountain valleys.
Embankment high refers to the depth of fill more than 18m soil properties or the embankment of 20m stone matter.
Heavy cut refers to the roadbed of the excavation certain depth less than original ground, i.e., the roadbed for being excavated downwards from original place
Form, when roadbed is soil-slope, cutting when vertical excavation depth is more than 20 meters, when roadbed is rock side slope, it hangs down
Straight cutting of the excavation depth more than 30 meters.
Blaps femaralis refer to that the single inclined horizontal wall inscription in inside side is set on bend, racetrack portion where the horizontal wall inscription (from
Horizontal curve starting point to the end) then it is referred to as Blaps femaralis.
It is further preferred that the parameter of the general bridge in the step one includes span and main beam section form.
It is further preferred that the parameter in the tunnel in the step one includes mountain height and grade of side slope.
It is further preferred that the parameter of the valley bridge in the step one includes the valley gradient, valley depth, bridge span
Degree and main beam section form.
It is further preferred that the embankment parameter high in the step one includes height and grade of side slope.
It is further preferred that the heavy cut parameter in the step one includes grade of side slope and slopes horizontal length.
It is further preferred that the Blaps femaralis parameter in the step one includes sweep and circuit angle of inclination.
Preferably, in the step 2 according to the parameter of each topography system module, respectively to each parameter change at least
Three values, constitute the corresponding scope of parameter of the system module, if the value for obtaining all parameters is corresponding after changing
Dry difference variable condition group, then carries out model in wind tunnel respectively or CFD numerical simulators are calculated, and obtains in the variable
The all wind load charge values of correspondence, then carry out continuous variable operating mode in the corresponding scope of parameter of the system module under operating mode group
Value, obtains the wind load charge values interpolated data storehouse in the scope, and search obtains maximum wind load from the interpolated data storehouse
It is worth corresponding variable condition, the topographical position corresponding to the variable condition, as described system module is in model described in actual landform
The monitoring location that gale monitoring optimization is arranged net along in enclosing.
Preferably, the system module correspondence independent model in wind tunnel and CFD numbers are set up in the step 2 simultaneously
Value simulation model, respectively by model in wind tunnel and CFD numerical simulators implementation steps three, obtains according to model in wind tunnel
The corresponding wind load charge values of each variable condition for arriving, the relevant variable operating mode to being obtained by CFD numerical simulators is corresponding
Wind load charge values are modified, and the wind load charge values for then being obtained by revised CFD numerical simulators are defined, then implementation steps four
To step 6.The precision of the further optimum choice of arranging net that improve the method.
Compared with prior art, beneficial effects of the present invention：
1st, line of high-speed railway gale monitoring of the present invention optimizes automatic search method of arranging net, by determining first
The corresponding system module of the various terrain environments of line of high-speed railway, then for the research process of individual module in, based on differently
The limited variable condition result of study that shape characteristic parameter is obtained, using this by corresponding wind load charge values as control data point, adopts
The system module in the corresponding scope of actual landform situation under the conditions of continuous variable operating mode value is calculated with the mode of interpolation
Independent each variable condition correspondence wind load charge values interpolated data storehouse, so as to be formed for individual system block search and determine maximum
Under the conditions of continuous variable operating mode value in scope described in actual landform, strong wind is supervised along the line for wind load charge values, the as system module
Survey optimization to arrange net monitoring point (will least favorable gale monitoring station be defined as optimize location arrangements), be high-speed railway gale monitoring station
The foundation for quantifying is provided along longitudinal Optimizing of circuit, and gale monitoring point is reacted the landform big landscape in real time
Condition, the wind load of its reflection is relatively more accurate, and the method is easy to operate, precision is higher, is particularly suited for High aititude mountain area and answers
The optimum choice of the Along Railway gale monitoring cloth site of miscellaneous landform；
2nd, a kind of line of high-speed railway gale monitoring of the present invention optimizes automatic search method of arranging net, there is provided unified rule
The principle and method that the high-speed railway gale monitoring station optimization of model is arranged net, can greatly improve operating efficiency.
Brief description of the drawings：
Fig. 1 optimizes automatic search method flow chart of arranging net for a kind of line of high-speed railway gale monitoring of the present invention；
Fig. 2 is the searching method frame that a kind of line of high-speed railway gale monitoring of the invention optimizes automatic search system of arranging net
Figure；
Fig. 3 is the schematic diagram of the system module of valley bridge+embankment high.
Specific embodiment
With reference to test example and specific embodiment, the present invention is described in further detail.But this should not be understood
For the scope of above-mentioned theme of the invention is only limitted to following embodiment, all technologies realized based on present invention belong to this
The scope of invention.
Embodiment 1
As shown in Figure 1, 2, a kind of line of high-speed railway gale monitoring optimizes arrange net automatic search method, including following step
Suddenly：
Step one, determine the various terrain environments of line of high-speed railway, the transitional region between at least two different terrains
As system module, system module group is set up；
Step 2, to the features of terrain parameter of each system module in system module group as research variable, set up described
System module correspondence independent model in wind tunnel or CFD numerical simulators；
In step 3, the features of terrain parameter for including each system module, change features of terrain parameter value to obtain
Limited variable condition, by model in wind tunnel or CFD numerical simulators, obtaining the corresponding wind of each variable condition
Load value, and as the corresponding control data point of the variable condition；
Step 4, the limited variable condition according to the system module and corresponding limited control data point, according to
In the corresponding scope of actual landform situation under the conditions of continuous variable operating mode value, by the way of interpolation calculation, the system is obtained
Corresponding each wind load charge values under the conditions of continuous variable operating mode value in the scope in the transitional region of module of uniting, set up
Each variable condition correspondence wind load charge values interpolated data storehouse of the system module independence；
Step 5, for the interpolated data of wind load charge values described in step 4 storehouse, search for and determine maximum wind load charge values, and
To the corresponding variable condition of maximum wind load charge values, the corresponding topographical position in the system module of the variable condition, as
Under the conditions of continuous variable operating mode value in scope described in actual landform, gale monitoring optimizes prison of arranging net to the system module along the line
Measuring point；
Step 6, according to actual landform characteristic parameter, determine corresponding system module, repeat step three to step 5, you can
Obtain the corresponding gale monitoring along the line of the features of terrain parameter and optimize monitoring point of arranging net.
Line of high-speed railway terrain environment system module in the upper step one includes：General bridge, tunnel, nullah bridge
Beam, embankment high, heavy cut, 6 kinds of landform nodes of Blaps femaralis, according to the principle of combination of two, according to actual conditions, form general
Bridge+tunnel, general bridge+valley bridge, general bridge+embankment high, general bridge+heavy cut, general bridge+bend surpass
Height, tunnel+valley bridge, valley bridge+embankment high, valley bridge+heavy cut, valley bridge+Blaps femaralis, embankment+depth high
Cutting, embankment+Blaps femaralis high, heavy cut+Blaps femaralis amount to 12 system modules.
For the step one, the parameter of general bridge therein includes span and main beam section form.The ginseng in the tunnel
Number includes mountain height and grade of side slope.The parameter of the valley bridge includes the valley gradient, valley depth, bridge span and girder
Form of fracture.The embankment parameter high includes depth of fill high and the side slope of embankment gradient high.The heavy cut parameter includes grade of side slope
With slopes horizontal length.The Blaps femaralis parameter includes sweep and circuit angle of inclination.
According to the parameter of each topography system module in step 2 described in upper step 2, respectively to each parameter change extremely
Few three values, constitute the corresponding scope of parameter of the system module, obtain all parameters value change after it is corresponding
Several different variable condition groups, then carry out model in wind tunnel respectively or CFD numerical simulators are calculated, and obtain in the change
The all wind load charge values of correspondence, then carry out continuous variable work in the corresponding scope of parameter of the system module under amount operating mode group
Condition value, obtains the wind load charge values interpolated data storehouse in the scope, and search obtains maximum wind load from the interpolated data storehouse
The corresponding variable condition of charge values, the topographical position corresponding to the variable condition, as described system module is described in actual landform
In the range of along the gale monitoring monitoring location arranged net of optimization, the system by obtaining the correspondence topography system module variable
The database of module, the like obtain the database of other systems module.
For example, during the database of system module of valley bridge+embankment high is set up, make respectively 3D bridges,
The wind tunnel test test model of valley and embankment high sets up CFD numerical simulators, main beam section form for bridge, across
Degree, the gradient in valley, depth, the grade of side slope of embankment, 6 parameters of height, distinguish value 3, then then shape to each parameter
Into 3 × 3 × 3 × 3 × 3 × 3=729 variable condition group, the variable condition group is tested or calculated respectively, obtained corresponding
Corresponding to the operating mode variable of the maximum wind load charge values (i.e. least favorable wind load) under variable condition in valley bridge+embankment environment high
Position as wind monitoring point longitudinal direction optimization position, the amount of air measuring station under the conditions of the parameter value outside 3 control data points
Change position, determined by the way of interpolation, then strong wind is supervised along the line in scope described in actual landform to obtain the system module
Survey the monitoring location that optimization is arranged net.
The line of high-speed railway gale monitoring optimizes automatic search method of arranging net, by determining line of high-speed railway first
The corresponding system module of various terrain environments, then for the research process of individual module in, obtained based on different topographic characteristics parameter
The limited variable condition result of study for taking, using this by corresponding wind load charge values as control data point, by the way of interpolation
Calculate each variable of the system module independence in the corresponding scope of actual landform situation under the conditions of continuous variable operating mode value
Operating mode correspondence wind load charge values interpolated data storehouse, so that formed for individual system block search and determine maximum wind load charge values, i.e.,
It is the system module under the conditions of continuous variable operating mode value in scope described in actual landform, gale monitoring optimization along the line is arranged net prison
Measuring point (will least favorable gale monitoring station be defined as optimize location arrangements), is longitudinal direction of the high-speed railway gale monitoring station along circuit
Optimizing provides the foundation for quantifying, and gale monitoring point is reacted the real-time high wind conditions of the landform, the wind of its reflection
Load is relatively more accurate, and the method is easy to operate, precision is higher, is particularly suited for the railway edge of High aititude mountain area complexity landform
The optimum choice of line gale monitoring cloth site.
In addition, the above-mentioned longitudinal direction optimization position in transitional region air measuring station, under beam wind effect, with single group landform transition region
It is research variable with corresponding features of terrain parameter as a example by domain (for example, landform changeover portion of embankment high+valley bridge), uses
The research meanses such as wind tunnel test and CFD numerical simulations, obtain variation characteristic of the wind load in transitional region, so that it is determined that least favorable
The position of wind monitoring station；
In for the research process of individual module, based on the limited group of result of study of features of terrain parameter acquiring, made with this
It is control data point, the value of empty portions is calculated by the way of interpolation, so as to is formed for individual system module least
Sharp gale monitoring station optimizes the determination method of location arrangements along longitudinal direction；
For example, the landform changeover portion of embankment high+valley bridge, as shown in figure 3, respectively with side slope of embankment horizontal length high
(L), vertical height (H), the gradient (α), the main beam section form (bluff body, fairing) of bridge, size (B × D), span (L), with
And the multiple such as the gradient (α) in valley, depth (H), span (L) variable is that research object carries out comparative study under bridge section line, with
Wind tunnel test or CFD numerical simulations are research meanses, obtain set of variables parameter under the conditions of different values (research operating mode compared with
Many, each research parameter takes a small number of 3 or so control points) result of study, the landform mistake of embankment high+valley bridge is given respectively
Cross a section least favorable air measuring station preferred arrangement position；Finally by related interpolation calculation, obtain set of variables and connect within the specific limits
Air measuring station preferred arrangement position under the conditions of continuous value.
Similar, optimize method for determining position for single module least favorable air measuring station using above-mentioned, respectively for other
Module under landform combination condition conducts a research, thus formed for high-speed railway circuit often meet landform transition condition under least
The searching method of longitudinal preferred arrangement position system of sharp air measuring station.
Embodiment 2
The present embodiment 2 describes to optimize automatic searcher of arranging net using line of high-speed railway gale monitoring by a case
The application of method, its detailed process includes：
(1) data collection
Respectively for line I (coastal area) and two high ferro circuits of line II (hard and dangerous mountain area) compile along landform,
The data such as circuit and meteorology；
(2) research object is determined
1. general bridge：
Line I：DK212+631~DK214+325, tunnel+embankment+bridge high
2. tunnel：Line I DK212+631~DK214+325, tunnel+embankment+bridge high
3. valley bridge：Certain railway, certain bridge
4. embankment high：Line I DK212+631~DK214+325, tunnel+embankment+bridge high
5. heavy cut：Line II D1K210~D1K230, bend+two-wire grand bridge
6. Blaps femaralis：Line II D1K210~D1K230, bend+two-wire grand bridge
(3) wind tunnel test
1. test model standard
The scaling factor of model is about 15m with line width control, such as double track railway width, to ensure model in wind tunnel
Middle railway model width is not less than 5~15cm, and model scale is than overall by 1/300~1/100 control.
2. test model classification
Based on actual finding, according to corresponding scaling factor, make respectively general bridge, tunnel, valley bridge,
Embankment high, heavy cut, 6 kinds of model in wind tunnel of landform node of Blaps femaralis, note keeping each list during modelling
Harmony of the body Model on the overall dimensions such as height, width, it is ensured that can smoothly dock between any two.
3. operating condition of test
Respectively for 6 kinds of development wind tunnel tests of typical landform monomer model, survey different wind speed, wind direction, turbulence level with
And the wind angle of attack come flow situation drag wind field be distributed；
It is based respectively on general bridge-tunnel, general bridge-valley bridge, general bridge-embankment high, general bridge-depth road
Moat, general bridge-Blaps femaralis, tunnel-valley bridge, tunnel-embankment high, tunnel-heavy cut, tunnel-Blaps femaralis, valley
Bridge-embankment high, valley bridge-heavy cut, valley bridge-Blaps femaralis, embankment-heavy cut high, embankment-Blaps femaralis high,
Test model under the 15 kinds of landform combinations of heavy cut-Blaps femaralis carries out wind tunnel test, surveys different wind speed, wind direction, turbulence level
And the wind angle of attack come flow situation drag wind field be distributed.
4. result of the test is extracted and analysis
Based on results of wind tunnel, the combination of worst landform is specified, obtain the distribution of route section wind field and flow
Dependency relation.
(4) CFD numerical simulations
Respectively for general bridge, tunnel, valley bridge, embankment high, heavy cut, 6 kinds of the Blaps femaralis in wind tunnel test
Typical landform monomer model sets up 1:1 2D cross sections CFD numerical models simultaneously carry out numerical computations, survey different wind speed, wind direction,
Turbulence level and the wind angle of attack come flow situation drag wind field distribution characteristics and with results of wind tunnel contrast, by CFD numbers
It is worth the calculating grid adjustment of model and corrects, it is ensured that numerical result is consistent with results of wind tunnel；
(5) field measurement
In the case where study condition is allowed, for the least favorable landform that wind tunnel test and CFD number crunchings determine
3~5 live air measuring stations are installed in combination, the relevant position in actual high ferro circuit, by the wind field data pair of field measurement
Research conclusion carries out the confirmation of further check, and within accuracy rating, satisfaction is actually needed check result.
Embodiments of the invention are given for the sake of example and description, and are not exhaustively or by this to send out
It is bright to be limited to disclosed form.Many modifications and variations are for the ordinary skill in the art obvious.Choosing
It is, in order to more preferably illustrate principle of the invention and practical application, and to make one of ordinary skill in the art to select and describe embodiment
It will be appreciated that the present invention is suitable to the various embodiments with various modifications of special-purpose so as to design.
Claims (10)
1. a kind of line of high-speed railway gale monitoring optimizes automatic search method of arranging net, it is characterised in that comprise the following steps：
Step one, determine the various terrain environments of line of high-speed railway, the transitional region conduct between at least two different terrains
System module, sets up system module group；
Step 2, to the features of terrain parameter of each system module in system module group as research variable, set up the system
Module correspondence independent model in wind tunnel or CFD numerical simulators；
In step 3, the features of terrain parameter included to each system module, change features of terrain parameter value limited to obtain
Individual variable condition, by model in wind tunnel or CFD numerical simulators, obtaining the corresponding wind load of each variable condition
Value, and as the corresponding control data point of the variable condition；
Step 4, the limited variable condition according to the system module and corresponding limited control data point, according to reality
In the corresponding scope of topographic features under the conditions of continuous variable operating mode value, by the way of interpolation calculation, the system mould is obtained
Corresponding each wind load charge values under the conditions of continuous variable operating mode value in the scope in the transitional region of block, set up described
Each variable condition correspondence wind load charge values interpolated data storehouse of system module independence；
Step 5, for the interpolated data of wind load charge values described in step 4 storehouse, search for and determine maximum wind load charge values, and obtain most
The corresponding variable condition of wind loads value, the corresponding topographical position in the system module of the variable condition is as described
Under the conditions of continuous variable operating mode value in scope described in actual landform, gale monitoring optimizes monitoring of arranging net to system module along the line
Point；
Step 6, according to actual landform characteristic parameter, determine corresponding system module, repeat step three to step 5, you can obtain
Gale monitoring optimizes monitoring point of arranging net along the features of terrain parameter is corresponding.
2. a kind of line of high-speed railway gale monitoring according to claim 1 optimizes arrange net automatic search method, its feature
It is that the line of high-speed railway terrain environment system module in the step one includes：General bridge, tunnel, valley bridge, height
Embankment, heavy cut, 6 kinds of landform nodes of Blaps femaralis, according to the principle of combination of two, according to actual conditions, formed general bridge+
Tunnel, general bridge+valley bridge, general bridge+embankment high, general bridge+heavy cut, general bridge+Blaps femaralis, tunnel
+ valley bridge, valley bridge+embankment high, valley bridge+heavy cut, valley bridge+Blaps femaralis, embankment+heavy cut high, height
Embankment+Blaps femaralis, heavy cut+Blaps femaralis amount to 12 system modules.
3. a kind of line of high-speed railway gale monitoring according to claim 2 optimizes arrange net automatic search method, its feature
It is that the parameter of the general bridge in the step one includes span and main beam section form.
4. a kind of line of high-speed railway gale monitoring according to claim 2 optimizes arrange net automatic search method, its feature
It is that the parameter in the tunnel in the step one includes mountain height and grade of side slope.
5. a kind of line of high-speed railway gale monitoring according to claim 2 optimizes arrange net automatic search method, its feature
It is that the parameter of the valley bridge in the step one includes the valley gradient, valley depth, bridge span and main beam section shape
Formula.
6. a kind of line of high-speed railway gale monitoring according to claim 2 optimizes arrange net automatic search method, its feature
It is that the embankment parameter high in the step one includes height and grade of side slope.
7. a kind of line of high-speed railway gale monitoring according to claim 2 optimizes arrange net automatic search method, its feature
It is that the heavy cut parameter in the step one includes grade of side slope and slopes horizontal length.
8. a kind of line of high-speed railway gale monitoring according to claim 2 optimizes arrange net automatic search method, its feature
It is that the Blaps femaralis parameter in the step one includes sweep and circuit angle of inclination.
9. automatic search method of arranging net is optimized according to a kind of any described line of high-speed railway gale monitorings of claim 2-8,
Characterized in that, according to the parameter of each topography system module in the step 2, respectively to each parameter change at least three
Value, constitutes the corresponding scope of parameter of the system module, obtain all parameters value change after corresponding several
Different variable condition groups, then carry out model in wind tunnel respectively or CFD numerical simulators are calculated, and obtain in the variable condition
The group all wind load charge values of lower correspondence, then carry out continuous variable operating mode and take in the corresponding scope of parameter of the system module
Value, obtains the wind load charge values interpolated data storehouse in the scope, and search obtains maximum wind load charge values from the interpolated data storehouse
Corresponding variable condition, the topographical position corresponding to the variable condition, as described system module is in scope described in actual landform
The monitoring location that gale monitoring optimization is arranged net along interior.
10. automatic search method of arranging net is optimized according to a kind of any described line of high-speed railway gale monitorings of claim 2-8,
Characterized in that, the system module correspondence independent model in wind tunnel and CFD Numerical-Modes are set up in the step 2 simultaneously
Analog model, respectively by model in wind tunnel and CFD numerical simulators implementation steps three, obtains according to model in wind tunnel
The corresponding wind load charge values of each variable condition, to the corresponding wind load of relevant variable operating mode obtained by CFD numerical simulators
Charge values are modified, and the wind load charge values for then being obtained by revised CFD numerical simulators are defined, then implementation steps four are to step
Rapid six.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710097147.0A CN106897517B (en) | 2017-02-22 | 2017-02-22 | Line of high-speed railway gale monitoring optimizes automatic search method of arranging net |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710097147.0A CN106897517B (en) | 2017-02-22 | 2017-02-22 | Line of high-speed railway gale monitoring optimizes automatic search method of arranging net |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106897517A true CN106897517A (en) | 2017-06-27 |
| CN106897517B CN106897517B (en) | 2019-11-15 |
Family
ID=59184535
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710097147.0A Active CN106897517B (en) | 2017-02-22 | 2017-02-22 | Line of high-speed railway gale monitoring optimizes automatic search method of arranging net |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106897517B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109901244A (en) * | 2019-03-29 | 2019-06-18 | 云南电网有限责任公司电力科学研究院 | A kind of power transmission line in high altitude region gale monitoring points distributing method and device |
| CN111413065A (en) * | 2020-04-24 | 2020-07-14 | 石家庄铁道大学 | Pneumatic load loading system for simulating train to pass through tunnel |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102023317A (en) * | 2010-10-14 | 2011-04-20 | 北京大学 | Method for deploying strong wind monitoring points on rapid transit railway |
| US20120151769A1 (en) * | 2010-12-16 | 2012-06-21 | Inventus Holdings, Llc | Method for determining optimum vortex generator placement for maximum efficiency on a retrofitted wind turbine generator of unknown aerodynamic design |
| CN103745032A (en) * | 2013-12-18 | 2014-04-23 | 华锐风电科技(集团)股份有限公司 | Wind-field turbulence computing method and wind farm micro-siting method and device |
| CN104021266A (en) * | 2013-03-01 | 2014-09-03 | 中国船舶工业集团公司第七〇八研究所 | Wind load calculation method suitable for ocean engineering ship |
| CN105740990A (en) * | 2016-02-26 | 2016-07-06 | 中铁第四勘察设计院集团有限公司 | Method for selecting resident monitoring points in railway wind monitoring system |
-
2017
- 2017-02-22 CN CN201710097147.0A patent/CN106897517B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102023317A (en) * | 2010-10-14 | 2011-04-20 | 北京大学 | Method for deploying strong wind monitoring points on rapid transit railway |
| US20120151769A1 (en) * | 2010-12-16 | 2012-06-21 | Inventus Holdings, Llc | Method for determining optimum vortex generator placement for maximum efficiency on a retrofitted wind turbine generator of unknown aerodynamic design |
| CN104021266A (en) * | 2013-03-01 | 2014-09-03 | 中国船舶工业集团公司第七〇八研究所 | Wind load calculation method suitable for ocean engineering ship |
| CN103745032A (en) * | 2013-12-18 | 2014-04-23 | 华锐风电科技(集团)股份有限公司 | Wind-field turbulence computing method and wind farm micro-siting method and device |
| CN105740990A (en) * | 2016-02-26 | 2016-07-06 | 中铁第四勘察设计院集团有限公司 | Method for selecting resident monitoring points in railway wind monitoring system |
Non-Patent Citations (1)
| Title |
|---|
| 徐超: "《高速铁路综合防灾安全监控系统的研究》", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109901244A (en) * | 2019-03-29 | 2019-06-18 | 云南电网有限责任公司电力科学研究院 | A kind of power transmission line in high altitude region gale monitoring points distributing method and device |
| CN109901244B (en) * | 2019-03-29 | 2021-07-27 | 云南电网有限责任公司电力科学研究院 | High-altitude area power transmission line strong wind monitoring and point distribution method and device |
| CN111413065A (en) * | 2020-04-24 | 2020-07-14 | 石家庄铁道大学 | Pneumatic load loading system for simulating train to pass through tunnel |
| CN111413065B (en) * | 2020-04-24 | 2021-08-10 | 石家庄铁道大学 | Pneumatic load loading system for simulating train to pass through tunnel |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106897517B (en) | 2019-11-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102023317B (en) | Method for deploying strong wind monitoring points on rapid transit railway | |
| Lai et al. | Optimization of rail transit alignments considering vehicle dynamics | |
| CN201177529Y (en) | Remote measuring and reporting system for water level | |
| CN103996085B (en) | Method for predicting near-ground wind field point domain mapping space along railway | |
| CN107808498A (en) | A kind of monitoring method of landslide and the monitoring system of application this method | |
| CN113160593A (en) | Mountain road driving safety early warning method based on edge cloud cooperation | |
| CN113011029B (en) | Wind measuring site layout optimization method along high-speed rail | |
| CN104900057B (en) | A kind of Floating Car map-matching method in the major-minor road of city expressway | |
| CN110009037A (en) | A kind of engineering wind speed Forecasting Approach for Short-term and system based on physical message coupling | |
| CN104318085A (en) | Torrential flood risk identification and extraction method of drainage basins | |
| Burlando et al. | A pilot study of the wind speed along the Rome–Naples HS/HC railway line. Part 1—Numerical modelling and wind simulations | |
| CN106548258A (en) | A kind of traffic produced air pollution thing concentration prediction method and system based on meteorological condition | |
| Butler et al. | High-resolution observations of the near-surface wind field over an isolated mountain and in a steep river canyon | |
| CN112348050A (en) | Anemograph arrangement method based on wind characteristics along high-speed rail | |
| CN106897517B (en) | Line of high-speed railway gale monitoring optimizes automatic search method of arranging net | |
| Ding et al. | An alternative approach to modelling train stability in high cross winds | |
| CN105427189A (en) | Power grid vulnerability evaluation method under landslide hazard | |
| JP4297921B2 (en) | Method for creating contour map of physical quantity and method for estimating physical quantity | |
| CN104463442B (en) | A kind of detection method of town and country construction concentration | |
| CN206021512U (en) | A kind of detection forecasting and warning device of heavy rain type diluted debris flow | |
| JP4043779B2 (en) | Basic wind speed map creation method by wind direction and basic wind speed estimation method by wind direction | |
| CN107220219A (en) | Railway steel box girder bridge Temperature Gradient evaluation method | |
| Castelli et al. | Intercomparison of 3D turbulence parameterizations for dispersion models in complex terrain derived from a circulation model | |
| Yu et al. | Experimental study of the impact of upstream mountain terrain and urban exposure on approaching wind characteristics | |
| CN110263369B (en) | Building surface wind resistance grade design method based on climate analysis and numerical simulation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |