CN113591409B - Method for determining natural stacking morphological characteristic parameters of chip flow by considering particle composition - Google Patents
Method for determining natural stacking morphological characteristic parameters of chip flow by considering particle composition Download PDFInfo
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- 239000002245 particle Substances 0.000 title claims abstract description 56
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- 230000000877 morphologic effect Effects 0.000 title claims abstract description 9
- 238000009825 accumulation Methods 0.000 claims abstract description 16
- 238000005259 measurement Methods 0.000 claims description 7
- 238000012856 packing Methods 0.000 claims description 5
- 238000012216 screening Methods 0.000 claims description 3
- 238000002474 experimental method Methods 0.000 claims description 2
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Abstract
The invention provides a method for determining natural accumulation morphological characteristic parameters of a chip flow by considering particle composition, which comprises the following steps: step 1, acquiring particle size distribution parameters of particles of a chip flow according to particle grading data of the chip flow sample; step 2, carrying the particle size distribution parameters of the chip flow particles into the calculation of the stacking morphology feature parameters on the basis of the step 1 to obtain the natural stacking morphology feature L of the chip flow max 、B max 、z max . The total error between the calculated value and the actual measured value of the natural accumulation characteristic parameter of the chip flow analyzed by the embodiment is smaller, the theoretical value is basically consistent with the measured value, and the method can be used for guiding engineering practice and determining the influence range of the chip flow accumulation body more accurately, so that the arrangement range of the protection engineering is determined more accurately, and the engineering cost is reduced.
Description
Technical Field
The invention belongs to the field of mountain disaster prevention and control, and particularly relates to a method for determining natural accumulation morphological characteristic parameters of a chip flow by considering particle composition.
Background
Loose packed bodies are a non-continuous geotechnical medium that develops due to geological or artificial effects. And the method is characterized by obvious difference of space mechanical properties. In recent years, the construction of more and more railway, bridge, tunnel and other infrastructures is gradually advanced, a large amount of loose piles generated in engineering construction are formed into loose piles with the thickness of hundreds of meters, once the loose piles are instable, large-scale landslide and chip flow geological disasters are formed, and destructive damage is caused to houses and the like on chip flow moving paths. The arrangement of the protective structure within a limited space constitutes an important subject for the engineering design of the protection against the debris flow. The parameters such as the maximum natural stacking length, the width, the stacking thickness and the like of the chip flow are the most important parameters of the chip flow protection engineering design, the determination of the characteristic parameters such as the protection height, the size and the like of the chip flow protection engineering design is directly related, and therefore, the research work of the natural stacking morphological characteristic parameters of the chip flow has very important practical significance.
Disclosure of Invention
The invention provides a method for determining natural accumulation morphological characteristic parameters of a chip flow by considering particle composition, so as to solve at least one technical problem.
To solve the above problems, as one aspect of the present invention, there is provided a method for determining a natural accumulation morphology feature parameter of a chip stream considering a composition of particles, comprising:
step 1, acquiring particle size distribution parameters of particles of a chip flow according to particle grading data of the chip flow sample;
step 2, the relation between the natural accumulation characteristic parameter of the chip flow and the particle size distribution parameter of the chip flow particles is shown as the following formulas 1-3, including the maximum accumulation length L max Maximum stacking width B max And a maximum stacking thickness z max The relation is as follows:
L max ＝1.42D c +169.61 (1)
B max ＝2.14D c +111.23 (2)
z max ＝-0.17D c +22.02 (3)
Wherein,
D c characteristic particle size (in mm) for particle composition of the chip stream;
L max maximum accumulation of debris flow accumulationLength (unit: cm);
B max maximum stacking width (unit: cm) of the chip flow stack;
z max maximum stack thickness (in cm) of the crumb flow stack;
preferably, the chip stream has a particle composition characteristic particle size D c The mass percent of particles of each particle size section of the chip flow can be obtained by indoor screening, and then the mass percent of particles of each particle size section of the chip flow is obtained by calculation according to the following formula:
P(＞D)＝CD -μ exp(-D/D c ) (4)
Wherein P is%>D) Is larger than a certain particle diameter D (unit: mm), particle percentage, C, μ, D c (unit: mm) are the particle size distribution parameters of the chip flow particles respectively, and the determination method is that the chip flow particle size distribution parameters are input into formula 4 in matlab at a custom formula in a curve fitting tool module and calculated through a curve fitting tool fitting tool.
Preferably, the method further comprises an error analysis step of calculating a relative error χ (unit:%) of data by the following formula from the results calculated according to formulas 1 to 3 and the actual test results:
the test measurements in sample 5 include the natural packing morphology parameters L of the chip flow of samples 1-5 max 、B max 、z max 。
The overall error between the calculated value and the actual measured value of the debris flow accumulation body characteristic parameter determination model is small, and the measured value is basically consistent with the calculated value of the theoretical model. Therefore, the influence range of the debris flow can be determined through the natural accumulation morphological characteristic parameters determined in the process of actual engineering design, so that the arrangement range of the protection engineering can be determined more accurately, and the engineering cost is reduced.
Drawings
FIG. 1 is a schematic diagram of the parameters and coordinate system of a chip flow stack.
Detailed Description
The following describes embodiments of the invention in detail, but the invention may be practiced in a variety of different ways, as defined and covered by the claims.
The present invention will be described in detail with reference to a preferred embodiment.
(A) Particle size distribution parameter acquisition of chip flow particles
In order to verify the accuracy of the model, 5 chip flow samples were selected for indoor screening, the particle size distribution data of the chip flow samples were input into matlab, then input into 7 at the custom formula of curve fitting tool, and the particle size distribution parameters of the chip flow were calculated by curve fitting tool fitting tool, the specific particle size distribution and particle size distribution parameters are shown in table 1.
TABLE 1 particle size distribution and particle size distribution parameters of chip flow samples
(B) Experimental measurement values
In order to verify the accuracy of the model, the patent carries out an indoor model experiment on the chip flow sample in table 1 to obtain actual measurement values of natural stacking morphological characteristic parameters of chip flows under different particle compositions, and the actual measurement values are specifically shown in table 2.
TABLE 2 actual measurement of the natural packing morphology parameters of different particle composition chip streams
(C) Model calculation value
To verify the accuracy of the model, the present patent sets forth particle size distribution data D for the chip flow in Table 1 c Values are substituted into the values 1 to 3 to calculate characteristic parameters of natural accumulation bodies of the chip flow, and specific calculation results are shown in table 3.
TABLE 3 calculation of the natural packing morphology parameters for different particle composition chip streams
(D) Error analysis
In order to accurately analyze the accuracy of the debris flow accumulation body characteristic parameter calculation model, the calculation result of the model in table 3 and the actual test result are analyzed, and the accuracy of the data is explored. The relative error χ (in%) of the data is determined by equation 5.
The test values in FIG. 5 include the experimental measurements L of samples 1 to 5 max 、B max 、z max 、x c 、y c The values are taken from Table 2, and the calculated values in equation 8 also include the calculated values L for the models of samples 1-5 max 、B max 、z max 、x c 、y c The values are taken from table 3, and the relative errors of the model for determining the characteristic parameters of the stacking morphology obtained by calculation using equation 5 are shown in table 4.
TABLE 4 error of measured and calculated values of natural packing morphology parameters for different particle composition chip streams
From table 4, it is found that the maximum error between the calculated value and the measured value of the model for determining the characteristic parameters of the debris flow accumulation body is 6.97%, the overall error is small, and the measured value of the characteristic parameters is basically consistent with the theoretical value, so that the model can be used for guiding engineering practice.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (2)
1. A method for determining a natural packing morphology feature parameter of a chip stream taking into account the composition of particles, comprising:
step 1, acquiring particle size distribution parameters of particles of a chip flow according to particle grading data of the chip flow sample;
step 2, carrying out an indoor model experiment on the chip flow sample in the step 1 to obtain the maximum natural stacking morphological characteristic parameters of the chip flow;
L max ＝1.42D c +169.61 (1)
B max ＝2.14D c +111.23 (2)
z max ＝-0.17D c +22.02 (3)
Wherein,
D c characteristic particle size (unit: mm) for particle composition of the crumb fluid;
L max maximum accumulation length (unit: cm) of the accumulation of debris flow;
B max maximum stacking width (unit: cm) of the chip flow stack;
z max maximum stack thickness (in cm) of the crumb flow stack;
the particle size distribution parameter of the particle size of the chip flow is Dc, and the mass percentage of the particles of each particle size section of the chip flow can be obtained by indoor screening, and then calculated according to the following formula 4:
P(＞D)＝CD -μ exp(-D/D c ) (4)
Wherein P is%>D) Is larger than a certain particle diameter D (unit: mm), particle percentage, C, μ, D c The particle size distribution parameters of the chip flow particles are respectively determined by inputting 4 in matlab at a custom formula in a curve fittingtool module and calculating by a curve fitting tool fitting tool.
2. The method of claim 1, further comprising the step of analyzing the error by calculating a relative error χ (unit:%) between the result calculated according to equations 1-3 and the actual measurement by:
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108956945A (en) * | 2018-06-22 | 2018-12-07 | 西南交通大学 | A kind of talus accumulation fluid-structure analysis testing equipment |
| CN109325250A (en) * | 2018-07-26 | 2019-02-12 | 四川大学 | A kind of method for numerical simulation and system of HIGH-SPEED LANDSLIDE-clast stream movement etching effect |
| CN112432884A (en) * | 2020-10-09 | 2021-03-02 | 东北大学 | Test system and method for testing particle size distribution characteristics of debris flow accumulation body |
| CN113065103A (en) * | 2021-04-09 | 2021-07-02 | 黄河勘测规划设计研究院有限公司 | Debris flow density detection and calculation method |
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|---|---|---|---|---|
| CN108956945A (en) * | 2018-06-22 | 2018-12-07 | 西南交通大学 | A kind of talus accumulation fluid-structure analysis testing equipment |
| CN109325250A (en) * | 2018-07-26 | 2019-02-12 | 四川大学 | A kind of method for numerical simulation and system of HIGH-SPEED LANDSLIDE-clast stream movement etching effect |
| CN112432884A (en) * | 2020-10-09 | 2021-03-02 | 东北大学 | Test system and method for testing particle size distribution characteristics of debris flow accumulation body |
| CN113065103A (en) * | 2021-04-09 | 2021-07-02 | 黄河勘测规划设计研究院有限公司 | Debris flow density detection and calculation method |
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| Effects of flow volume and grain size on mobility of dry granular flows of angular rock fragments: A functional relationship of scaling parameters;B. Cagnoli 等;《JOURNAL OF GEOPHYSICAL RESEARCH》;第117卷;B02207 * |
| 不同岩崩碎屑颗粒尺寸运移堆积特性试验研究;王忠福;何思明;刘汉东;李冬冬;;岩石力学与工程学报(第S2期);48-53 * |
| 颗粒反序现象及对滑坡碎屑流冲击作用的影响;李天话;《人民长江》;第49卷(第15期);58-65 * |
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