CN113609564B - Design optimization method for slope control of granular body - Google Patents
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- 238000000034 method Methods 0.000 title claims abstract description 13
- 238000013461 design Methods 0.000 title claims abstract description 12
- 238000005457 optimization Methods 0.000 title abstract description 7
- 230000000903 blocking effect Effects 0.000 claims abstract description 114
- 239000000463 material Substances 0.000 claims abstract description 9
- 101100129500 Caenorhabditis elegans max-2 gene Proteins 0.000 claims abstract description 8
- 101100083446 Danio rerio plekhh1 gene Proteins 0.000 claims abstract description 8
- 238000012360 testing method Methods 0.000 claims description 40
- 239000008187 granular material Substances 0.000 claims description 19
- 230000015572 biosynthetic process Effects 0.000 claims description 6
- 230000001133 acceleration Effects 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 239000002245 particle Substances 0.000 claims description 3
- 239000013618 particulate matter Substances 0.000 claims description 3
- 239000000843 powder Substances 0.000 claims description 3
- 230000005484 gravity Effects 0.000 claims description 2
- 238000004364 calculation method Methods 0.000 description 4
- 230000006835 compression Effects 0.000 description 2
- 238000007906 compression Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 230000001687 destabilization Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000003116 impacting effect Effects 0.000 description 2
- 230000002265 prevention Effects 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 239000004575 stone Substances 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000001066 destructive effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 239000004576 sand Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
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- 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
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C10/00—Computational theoretical chemistry, i.e. ICT specially adapted for theoretical aspects of quantum chemistry, molecular mechanics, molecular dynamics or the like
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- G—PHYSICS
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- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C60/00—Computational materials science, i.e. ICT specially adapted for investigating the physical or chemical properties of materials or phenomena associated with their design, synthesis, processing, characterisation or utilisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/06—Multi-objective optimisation, e.g. Pareto optimisation using simulated annealing [SA], ant colony algorithms or genetic algorithms [GA]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/10—Numerical modelling
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
- Y02A10/23—Dune restoration or creation; Cliff stabilisation
Abstract
The invention discloses a slope control design optimization method for a granular body, which comprises the following steps: s1: analyzing impact influence factors of different sliding characteristics of the granular bodies on the slope blocking structure; s2: constructing a relation between a bulk impact force peak value and a bulk impact condition; s3: three slope blocking structures with different structures are selected; s4: selecting a bulk slope in a target area, and measuring a bulk impact condition of the bulk slope; s5: calculating the impact force peak value F of three blocking structures bearing the particulate bodies in the target area max1 、F max2 And F max3 The method comprises the steps of carrying out a first treatment on the surface of the S6: according to the peak value F of impact force max1 、F max2 And F max3 Is sized to fit the slope of the particulate body. The invention can fully exert the strength of the material, ensure the stable function of the blocking structure, and can be reasonably selected from the aspects of economy and safety.
Description
Technical Field
The invention relates to the technical field of geological disaster prevention and control, in particular to a slope prevention and control design optimization method for a particulate body.
Background
Currently, the construction and development of mountain areas have attracted extensive attention from the international society, but China is a multi-mountain country with mountain areas accounting for 67% of the land area of the country, and mountain area population accounts for 56% of the total population of the country, so that the control of mountain area geological disasters directly affects the economic construction and development of mountain areas. Landslide, collapse and debris flow are the main common geological disasters in mountain areas, and another geological disaster, namely a particulate slope disaster, has very important influence. The granular slope is a slope body formed by flowing similar-magnitude and nearly uniform gravel and broken stone particles under the action of gravity and piling up slope feet under the actions of weathering, unloading, power and the like, and is mainly distributed in the western, northwest and partial southwest areas of China.
The destructive effect of the slope of the particulate body is essentially different from landslide, collapse and debris flow disasters, and the destabilization of the slope of the particulate body is that the accumulation body mainly comprising gravel and broken stone generates integral and long-term flow impact movement. Because the bulk slope has the characteristics of loose structure, high compression, strong water permeability and low binding force, the bulk slope is similar to a disc of scattered sand, and a blocking structure and engineering facilities are extremely easy to damage after destabilization, so that serious threat is caused to resident property, life safety and traffic safety operation. When the supporting structure of the slope of the particulate body is designed, the control effects of different blocking structures are researched by combining an impact blocking test and impact damage simulation according to the condition of the actual particulate body, and a reasonable blocking control design optimization scheme is provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a slope control design optimization method for a particulate body, which can design a reasonable blocking structure for the particulate body in different areas.
In order to achieve the aim of the invention, the invention adopts the following technical scheme:
the utility model provides a design optimization method for controlling a slope of a particulate body, which comprises the following steps:
s1: the impact influence factors of different gliding characteristics of analysis granule body to slope structure of blocking, different gliding characteristics include: the density, the sliding angle and the slope blocking structure of the granular body;
s2: constructing a relation between a bulk impact force peak value and a bulk impact condition;
s3: three slope blocking structures with different structures are selected, wherein the slope blocking structures comprise a linear blocking structure, a curve blocking structure and a fold line blocking structure;
s4: selecting a bulk slope in a target area, and measuring a bulk impact condition of the bulk slope;
s5: with linear type blocking structure, curveParameters of the blocking structure and the broken line type blocking structure and impact conditions of the particulate bodies are respectively substituted into the relation, and impact force peak values F of the particulate bodies in the target area borne by the three blocking structures are calculated max1 、F max2 and Fmax3 ；
S6: according to the peak value F of impact force max1 、F max2 and Fmax3 Is sized to fit the slope of the particulate body.
Further, step S1 includes:
s11: a smooth test slope is constructed, test conditions with different sliding characteristics are set, and the test conditions comprise that the density of the granular body is (ρ 1 ，ρ 2 ，ρ 3 ) The granule and the sliding angle of the powder are respectively (alpha) 1 ，α 2 ，α 3 ) The slope blocking structures are respectively (linear blocking structure, curve blocking structure and fold line blocking structure);
s12: placing a slope blocking structure at the bottom of the test slope, pouring three kinds of granular bodies with different densities from the top of the test slope, ensuring that the sliding angle of the test slope is the same as the slope blocking structure in three tests, and collecting the impact force F of the three kinds of granular bodies with different densities on the slope blocking structure ρ1 、F ρ2 and Fρ3 ；
S13: the gradient of a test slope is adjusted, the same test condition test material of the granule and the slope blocking structure is adopted, and the impact force F to the slope blocking structure under the condition of different sliding angles is collected α1 、F α2 and Fα2 ；
S14: three slope blocking structures with different structures are selected, and under the condition of the same sliding angle, the impact force F of the same granular material on the slope blocking structures with different structures is collected 1 、F 2 and F3 ；
S15: calculating the extremely poor impact force R under the test conditions of the granular bodies with different densities 1 Very poor impact force R under different sliding angle test conditions 2 And the impact force R under test conditions of different slope blocking structures 3 ；
S16: comparing three kinds of extreme differences R 1 Extremely poor R 2 And the extremely poor R 3 If the size of R is extremely poor 1 If the value is the largest, judging that the impact of the bulk density on the slope blocking structure is the largest; if extremely poor R 2 If the value is the largest, judging that the impact incidence angle theta of the particulate body has the largest impact on the slope blocking structure; if extremely poor R 3 And if the value is maximum, determining that the impact of the slope blocking structure on the granular body is the greatest.
Further, the relation between the impact force peak value and the impact condition of the bulk is:
wherein ,as a correction coefficient, determining according to the particulate body of the field actual measurement target area; lambda is the form factor of the blocking structure; ρ is the bulk density; ρ' is the material density of the dam structure; v is the impact velocity of the particulate body; h is the movement thickness of the granular body; w is the movement width of the particulate body; θ is the angle of incidence of the impact; e is the elastic modulus of the blocking structure; mu is the Poisson's ratio of the blocking structure; h is the thickness of the blocking structure; g is gravitational acceleration.
Further, step S4 includes:
s41: scanning the piled particulate matters on a particulate matter slope of a target area by using a three-dimensional laser scanning device;
s42: acquiring a point cloud coordinate system of a shot body in a scanning coordinate system, wherein the central point of a three-dimensional laser scanning device is an origin of the point cloud coordinate system, the central point of the shot body is a target point P (Xs, ys, zs) aligned by scanning, xs=ssoasanib, ys=scoasanib, zs=ssina, wherein S is the distance between the target point P and the origin, a is an included angle between a connecting line between the target point P and the origin and the point P and a Z axis between the target point P and the origin, and b is an included angle between an XY plane projection of the connecting line between the target point P and the origin and the X axis in the scanning coordinate system;
s43: according to the point cloud conditions scanned in the point cloud coordinate system, the volume V and the mass m of the granular body are obtained:
V＝ω·M·t
wherein ω is the chip yield of the target area, t is the granule formation time, and M is the granule formation area.
S44: calculating the density rho=m/V of the bulk in the target area according to the mass m and the volume V;
s45: the inclination angle θ of the slope on which the particulate body is located and the impact velocity v of the particulate body on the slope are measured.
The beneficial effects of the invention are as follows: according to the invention, the condition that the shot body is destroyed in the process of impacting the blocking structure is obtained through impact influence on different sliding characteristics of the shot body on the blocking structure, so that a relation between an impact force peak value and parameters of the shot body and the blocking structure is established, impact force calculation on the blocking structure by the shot body in different areas or mountain structures can be realized, and further, different blocking structures are selected to enclose the shot body through calculation of the impact force peak value, so that the material strength can be fully exerted, stable play of the blocking structure is ensured, and reasonable selection can be carried out in terms of economy and safety.
Drawings
Fig. 1 is a flowchart of a method for optimizing a slope control design of a particulate body.
Fig. 2 is a schematic diagram of a scanning coordinate system.
Fig. 3 is a model diagram of a numerical simulation of a bulk.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and all the inventions which make use of the inventive concept are protected by the spirit and scope of the present invention as defined and defined in the appended claims to those skilled in the art.
As shown in fig. 1, the method for optimizing the slope control design of the granular body in the scheme comprises the following steps:
s1: the impact influence factors of different gliding characteristics of analysis granule body to slope structure of blocking, different gliding characteristics include: the density, the sliding angle and the slope blocking structure of the granular body; the step S1 specifically comprises the following steps:
s11: a smooth test slope is constructed, test conditions with different sliding characteristics are set, and the test conditions comprise that the density of the granular body is (ρ 1 ，ρ 2 ，ρ 3 ) The granule and the sliding angle of the powder are respectively (alpha) 1 ，α 2 ，α 3 ) The slope blocking structures are respectively (linear blocking structure, curve blocking structure and fold line blocking structure);
s12: placing a slope blocking structure at the bottom of the test slope, pouring three kinds of granular bodies with different densities from the top of the test slope, ensuring that the sliding angle of the test slope is the same as the slope blocking structure in three tests, and collecting the impact force F of the three kinds of granular bodies with different densities on the slope blocking structure ρ1 、F ρ2 and Fρ3 ；
S13: the gradient of a test slope is adjusted, the same test condition test material of the granule and the slope blocking structure is adopted, and the impact force F to the slope blocking structure under the condition of different sliding angles is collected α1 、F α2 and Fα2 ；
S14: three slope blocking structures with different structures are selected, and under the condition of the same sliding angle, the impact force F of the same granular material on the slope blocking structures with different structures is collected 1 、F 2 and F3 ；
S15: calculating the extremely poor impact force R under the test conditions of the granular bodies with different densities 1 Very poor impact force R under different sliding angle test conditions 2 And the impact force R under test conditions of different slope blocking structures 3 ；
The range is an important index for measuring the fluctuation of data, and the test condition with large range has large influence on the index and is a main factor for influencing the index. On the contrary, the factor with small limit value has small influence on the index and is a secondary factor for influencing the index.
S16: comparing three kinds of extreme differences R 1 Extremely poor R 2 And the extremely poor R 3 If the size of R is extremely poor 1 If the value is the largest, judging that the impact of the bulk density on the slope blocking structure is the largest; if extremely poor R 2 If the value is the largest, judging that the impact incidence angle theta of the particulate body has the largest impact on the slope blocking structure; if extremely poor R 3 And if the value is maximum, determining that the impact of the slope blocking structure on the granular body is the greatest.
S2: building a relation between a bulk impact force peak value and a bulk impact condition:
wherein ,for correction coefficients, determining according to the shot body of a field actual measurement target area, and generally taking 0.28; lambda is the form factor of the blocking structure; ρ is the bulk density; ρ' is the material density of the dam structure; v is the impact velocity of the particulate body; h is the movement thickness of the granular body; w is the movement width of the particulate body; θ is the angle of incidence of the impact; e is the elastic modulus of the blocking structure; mu is the Poisson's ratio of the blocking structure; h is the thickness of the blocking structure; g is gravitational acceleration.
S3: three slope blocking structures with different structures are selected, wherein the slope blocking structures comprise a linear blocking structure, a curve blocking structure and a fold line blocking structure;
the blocking structure with special structure, such as a folded line type blocking wall and a curved line type blocking wall, has the characteristic of a pressure-bearing arch, can not only lighten the impact force of the chip flow, but also effectively reduce the compression resistance and fully play the role of flow guide. The retaining wall with the special structure has the common characteristics of arch and beam, and mainly depends on the diversion at two sides and the weight of the retaining wall to maintain the stability of the wall, so that the material strength can be fully exerted, and the stability is improved compared with the linear retaining wall with the same height.
S4: selecting a bulk slope in a target area, and measuring a bulk impact condition of the bulk slope; comprising the following steps:
s41: scanning the piled particulate matters on a particulate matter slope of a target area by using a three-dimensional laser scanning device;
s42: acquiring a point cloud coordinate system of a shot body in a scanning coordinate system, wherein the central point of a three-dimensional laser scanning device is the origin of the point cloud coordinate system, the central point of the shot body is a target point P (Xs, ys, zs) aligned by scanning, as shown in fig. 2, xs=ssinacosb, ys=scoascinb, zs=ssina, wherein S is the distance between the target point P and the origin, a is the included angle between the connecting line between the target point P and the origin and the Z axis of the target point P and the origin, and b is the included angle between the X-axis and the XY plane projection of the connecting line between the target point P and the origin in the scanning coordinate system;
s43: according to the point cloud conditions scanned in the point cloud coordinate system, the volume V and the mass m of the granular body are obtained: as shown in fig. 3, a bulk model map is simulated from the scanned values.
V＝ω·M·t
Wherein ω is the chip yield of the target area, t is the granule formation time, and M is the granule formation area.
S44: calculating the density rho=m/V of the bulk in the target area according to the mass m and the volume V;
s45: measuring the inclination angle theta of a slope where the particulate body is positioned and the impact speed v of the particulate body on the slope;
s5: the parameters of the linear blocking structure, the curve blocking structure and the broken line blocking structure are respectively substituted into the relation, and the impact force peak value F of the three blocking structures for bearing the granular materials in the target area is calculated max1 、F max2 and Fmax3 。
S6: according to the peak value F of impact force max1 、F max2 and Fmax3 Is sized to fit the slope of the particulate body.
According to the invention, the condition that the shot body is destroyed in the process of impacting the blocking structure is obtained through impact influence on different sliding characteristics of the shot body on the blocking structure, so that a relation between an impact force peak value and parameters of the shot body and the blocking structure is established, impact force calculation on the blocking structure by the shot body in different areas or mountain structures can be realized, and further, different blocking structures are selected to enclose the shot body through calculation of the impact force peak value, so that the material strength can be fully exerted, stable play of the blocking structure is ensured, and reasonable selection can be carried out in terms of economy and safety.
Claims (2)
1. The method for optimizing the slope control design of the granular body is characterized by comprising the following steps of:
s1: the impact influence factors of different gliding characteristics of analysis granule body to slope structure of blocking, different gliding characteristics include: the density, the sliding angle and the slope blocking structure of the granular body;
the step S1 includes:
s11: a smooth test slope is constructed, test conditions with different sliding characteristics are set, and the test conditions comprise that the density of the granular body is (ρ 1 ，ρ 2 ，ρ 3 ) The granule and the sliding angle of the powder are respectively (alpha) 1 ，α 2 ，α 3 ) The slope blocking structures are respectively a linear blocking structure, a curve blocking structure and a fold line blocking structure;
s12: placing a slope blocking structure at the bottom of the test slope, pouring three kinds of granular bodies with different densities from the top of the test slope, ensuring that the sliding angle of the test slope is the same as the slope blocking structure in three tests, and collecting the impact force F of the three kinds of granular bodies with different densities on the slope blocking structure ρ1 、F ρ2 and Fρ3 ；
S13: the gradient of the test slope is adjusted, the same test conditions of the granule and the slope blocking structure are adopted, and the impact force F to the slope blocking structure under the conditions of different sliding angles is collected α1 、F α2 and Fα2 ；
S14: slope blocking with three different structuresUnder the condition of the same sliding angle, the impact force F of the same granular material on the slope blocking structure with different structures is collected 1 、F 2 and F3 ；
S15: calculating the extremely poor impact force R under the test conditions of the granular bodies with different densities 1 Very poor impact force R under different sliding angle test conditions 2 And the impact force R under test conditions of different slope blocking structures 3 ；
S16: comparing three kinds of extreme differences R 1 Extremely poor R 2 And the extremely poor R 3 If the size of R is extremely poor 1 If the value is the largest, judging that the impact of the bulk density on the slope blocking structure is the largest; if extremely poor R 2 If the value is the largest, judging that the impact incidence angle theta of the particulate body has the largest impact on the slope blocking structure; if extremely poor R 3 If the value is the largest, the impact of the structure of the shape of the slope blocking structure on the granular body is judged to be the largest;
s2: constructing a relation between a bulk impact force peak value and a bulk impact condition;
the relation between the impact force peak value and the impact condition of the particulate body is as follows:
wherein ,as a correction coefficient, determining according to the particulate body of the field actual measurement target area; lambda is the form factor of the blocking structure; ρ is the bulk density; ρ' is the material density of the dam structure; v is the impact velocity of the particulate body; h is the movement thickness of the granular body; w is the movement width of the particulate body; θ is the angle of incidence of the impact; e is the elastic modulus of the blocking structure; mu is the Poisson's ratio of the blocking structure; h is the thickness of the blocking structure; g is gravity acceleration;
s3: three slope blocking structures with different structures are selected, wherein the slope blocking structures comprise a linear blocking structure, a curve blocking structure and a fold line blocking structure;
s4: selecting a bulk slope in a target area, and measuring a bulk impact condition of the bulk slope;
s5: parameters of the linear blocking structure, the curve blocking structure and the broken line blocking structure and the impact conditions of the particles are respectively substituted into the relation, and the impact peak value F of the three blocking structures for bearing the particles in the target area is calculated max1 、F max2 and Fmax3 ；
S6: according to the peak value F of impact force max1 、F max2 and Fmax3 Is sized to fit the slope of the particulate body.
2. The method for optimizing the slope control design of a particulate body according to claim 1, wherein the step S4 includes:
s41: scanning the piled particulate matters on a particulate matter slope of a target area by using a three-dimensional laser scanning device;
s42: acquiring a point cloud coordinate system of a shot body in a scanning coordinate system, wherein the central point of a three-dimensional laser scanning device is an origin of the point cloud coordinate system, the central point of the shot body is a target point P (Xs, ys, zs) aligned by scanning, xs=ssoasanib, ys=scoasanib, zs=ssina, wherein S is the distance between the target point P and the origin, a is an included angle between a connecting line between the target point P and the origin and the point P and a Z axis between the target point P and the origin, and b is an included angle between an XY plane projection of the connecting line between the target point P and the origin and the X axis in the scanning coordinate system;
s43: according to the point cloud conditions scanned in the point cloud coordinate system, the volume V and the mass m of the granular body are obtained:
V＝ω·M·t
wherein ω is the chip yield of the target area, t is the granule formation time, and M is the granule formation area;
s44: calculating the density rho=m/V of the bulk in the target area according to the mass m and the volume V;
s45: the inclination angle θ of the slope on which the particulate body is located and the impact velocity v of the particulate body on the slope are measured.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104652370A (en) * | 2014-12-31 | 2015-05-27 | 中国科学院、水利部成都山地灾害与环境研究所 | Method for optimizing debris flow blocking dam design under eccentric loading effect |
| CN107144384A (en) * | 2017-05-08 | 2017-09-08 | 中国人民解放军空军工程大学 | A kind of tire produces the measuring and calculation method of impulsive force when passing through faulting of slab ends |
| CN108572246A (en) * | 2018-02-08 | 2018-09-25 | 西安科技大学 | A kind of multi-functional landslide impact strength test platform |
| CN111238767A (en) * | 2020-01-21 | 2020-06-05 | 中国地质环境监测院 | Simulation test platform for impact-resistant blocking structure of high-position landslide fragment flow |
| CN112630058A (en) * | 2020-12-15 | 2021-04-09 | 成都理工大学 | Assembled granular impact test device |
-
2021
- 2021-08-16 CN CN202110934976.6A patent/CN113609564B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104652370A (en) * | 2014-12-31 | 2015-05-27 | 中国科学院、水利部成都山地灾害与环境研究所 | Method for optimizing debris flow blocking dam design under eccentric loading effect |
| CN107144384A (en) * | 2017-05-08 | 2017-09-08 | 中国人民解放军空军工程大学 | A kind of tire produces the measuring and calculation method of impulsive force when passing through faulting of slab ends |
| CN108572246A (en) * | 2018-02-08 | 2018-09-25 | 西安科技大学 | A kind of multi-functional landslide impact strength test platform |
| CN111238767A (en) * | 2020-01-21 | 2020-06-05 | 中国地质环境监测院 | Simulation test platform for impact-resistant blocking structure of high-position landslide fragment flow |
| CN112630058A (en) * | 2020-12-15 | 2021-04-09 | 成都理工大学 | Assembled granular impact test device |
Non-Patent Citations (2)
| Title |
|---|
| 斜坡散粒体冲击挡墙动力特性及其易损性研究;杨智翔;中国优秀硕士论文全文数据库;第3-5章 * |
| 潘青 ; 张清照 ; 李艺灵 ; .基于EDEM的碎屑流运动规律及冲击性能研究.工程地质学报.2020,(第05期),全文. * |
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