CN-122022035-A - Prediction method, device, equipment and medium for earthquake collapse disaster range

CN122022035ACN 122022035 ACN122022035 ACN 122022035ACN-122022035-A

Abstract

The invention belongs to the technical field of earthquake disaster prediction, and particularly relates to a prediction method, a device, equipment and a medium for earthquake collapse disaster range. A prediction method of an earthquake collapse disaster range comprises the steps of obtaining yield data of a target rock body, first material information, morphological information of a target sliding bed and second material information, determining crushing energy consumption of the target rock body when collapse occurs under different earthquake amplitudes according to the yield data, the first material information and the second material information, determining dynamic friction weakening coefficients of the target rock body in the collapse process under different earthquake amplitudes according to the first material information and the second material information, and determining an ideal sliding range of the target rock body according to the crushing energy consumption and the dynamic friction weakening coefficients under different earthquake amplitudes. Thereby greatly improving the prediction precision of the high-level rock mass remote landslide disaster-causing range and remarkably improving the physical reality and calculation precision of the prediction result.

Inventors

ZHAO HAIJUN
QI SHENGWEN
GUO SONGFENG
LI ZHIQING
GUO JIE
LI GUANG

Assignees

中国科学院地质与地球物理研究所

Dates

Publication Date: 20260512
Application Date: 20260126

Claims (10)

1. The earthquake collapse disaster range prediction method is characterized by comprising the following steps of: acquiring the attitude data, the first material information, the form information and the second material information of a target sliding bed of a target rock mass; Determining crushing energy consumption when the target rock mass is subjected to collapse under different earthquake amplitudes according to the occurrence data, the first material information and the second material information; determining a dynamic friction weakening coefficient of the target rock mass in the process of collapse under different earthquake amplitudes according to the first material information and the second material information; Determining an ideal sliding range of the target rock mass according to the crushing energy consumption and the dynamic friction weakening coefficient under different earthquake amplitudes; and predicting the disaster range of the target rock mass when the target rock mass slides on the target sliding bed according to the ideal sliding range and the morphological information.
2. The method of claim 1, wherein the step of determining the position of the substrate comprises, the crushing energy consumption of the target rock mass when the collapse occurs under different earthquake amplitude values is determined according to the occurrence data, the first material information and the second material information, comprising the following steps: determining a target seismic amplitude in a preset amplitude interval; Determining a reference rock mass similar to the target rock mass in a preset database according to the occurrence data; determining texture difference information according to the first texture information and the second texture information; determining a target fractal dimension of the reference rock mass in the database according to the target seismic amplitude and the material difference information; and determining the target crushing energy consumption of the target rock mass when the collapse occurs under the target seismic amplitude according to the target fractal dimension.
3. The method of claim 2, wherein determining a dynamic friction weakness coefficient of the target rock mass during a collapse of the target rock mass at different seismic amplitudes based on the first material information and the second material information comprises: Determining a target vibration attenuation factor of the reference rock mass in the database according to the target seismic amplitude, the first material information and the second material information; And determining a dynamic friction weakening coefficient of the target rock mass when the collapse occurs under the target earthquake amplitude according to the target vibration weakening factor.
4. The method of claim 1, wherein predicting a disaster range for the target rock mass to collapse on the target slide based on the ideal sliding range and the morphology information comprises: determining the equivalent sliding distance of the target sliding bed according to the morphological information; and determining the disaster range of the target rock mass when the target rock mass slides through the target sliding bed according to the equivalent sliding distance and the ideal sliding range.
5. The method according to claim 2, wherein the method further comprises: constructing a rock mass model conforming to the target occurrence and the first target material; constructing a sliding bed model which accords with a second target material and can simulate the travelling wave effect; giving vibration acceleration to each section of the sliding bed model according to preset earthquake amplitude; Collecting a slumped deposit of the rock mass model after the rock mass model passes through the vibrating slide bed model, and measuring a sliding distance of the slumped deposit; Determining a fractal dimension of the rock mass model from the collapse deposits; Determining a vibration attenuation factor of the rock mass model when the rock mass model slides on the sliding bed model according to the sliding distance and the fractal dimension; Constructing the database according to the target occurrence, the first target material, the second target material, a preset seismic amplitude, the fractal dimension and the vibration attenuation factor; wherein the database stores vibration attenuation factors and fractal dimensions under different occurrence, different first target materials, different second target materials and different seismic amplitudes.
6. The method of claim 5, wherein the slide bed model comprises a plurality of vibration cell plates, a vibration exciter, and a control unit; The plurality of vibration unit plates are transversely arranged, and two adjacent vibration unit plates are connected by adopting flexible materials, so that each vibration unit plate represents the vibration condition of one area; the vibration exciter is arranged below each vibration unit plate and is used for enabling the vibration unit plates to vibrate; the control unit is connected with the vibration exciter, and is used for determining the vibration phase and the vibration amplitude generated by each vibration exciter according to the preset earthquake amplitude, and controlling the starting time and the vibration gear of each vibration exciter according to the vibration phase and the vibration amplitude.
7. The method of claim 1, wherein the determining the ideal sliding range of the target rock mass from the crushing energy consumption and the dynamic friction weakness coefficient at different seismic amplitudes is achieved by: Wherein, the And To be the total mass of the rock mass and the initial centroid height of the rock mass respectively, In order to consume energy in the crushing process, For the sliding distance of the rock mass, where For an ideal sliding distance of the rock mass to be solved for in the present application, In order to achieve a coefficient of dynamic friction weakness, Is the included angle between the target sliding bed and the horizontal plane, Gravitational acceleration.
8. An earthquake collapse disaster range prediction apparatus, comprising: The first acquisition module is used for acquiring the attitude data of the target rock mass, the first material information, the form information of the target sliding bed and the second material information; The first determining module is used for determining crushing energy consumption when the target rock mass is subjected to collapse under different earthquake amplitudes according to the occurrence of collapse of the occurrence of the collapse of the target rock mass under different earthquake amplitudes; The second determining module is used for determining a dynamic friction weakening coefficient of the target rock mass in the process of collapse under different earthquake amplitudes according to the first material information and the second material information; The third determining module is used for determining an ideal sliding range of the target rock mass according to the crushing energy consumption and the dynamic friction weakening coefficient under different earthquake amplitudes; and the first execution module is used for predicting the disaster range of the target rock mass when the target slide bed slides according to the ideal sliding range and the morphological information.
9. A computer electronic production device comprising a memory, a processor and a computer program stored on the memory, the processor executing the computer program to carry out the steps of the method of any one of claims 1 to 7.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 7.

Description

Prediction method, device, equipment and medium for earthquake collapse disaster range Technical Field The invention belongs to the technical field of earthquake disaster prediction, and particularly relates to a prediction method, a device, equipment and a medium for earthquake collapse disaster range. Background When an earthquake happens, a rock mass collapse disaster is often caused, and the collapse rock mass can cause great threat to surrounding buildings and residents, so that the influence range of the rock mass collapse disaster can be accurately predicted, and the life and property safety of the residents can be effectively protected. In the prior art, when the collapse disaster range is predicted, the dangerous rock mass is generally simplified into discrete rigid blocks or bulk particles to be piled up, and the process of converting (namely, breaking up and crushing) the complete rock mass from a continuous medium to a discontinuous medium under the action of earthquake or impact is ignored. This simplification ignores the large amount of fracture surface energy (energy consumption term) consumed by the rock mass during the crushing process, resulting in overestimation of the residual kinetic energy of the rock mass in the energy conservation calculation, so that the prediction result of the disaster causing range tends to be large or distorted. Moreover, the conventional test sliding bed is static or integrally vibrated, and cannot simulate the phenomenon of 'sonic fluidization' caused by continuous vibration of seismic waves on a sliding path. This phenomenon significantly reduces the inter-particle friction coefficient, resulting in a far beyond theoretical calculation of the actual disaster range. Disclosure of Invention The invention discloses a prediction method of an earthquake collapse disaster range, which comprises the steps of obtaining yield data of a target rock body, first material information, morphological information of a target sliding bed and second material information, determining crushing energy consumption of the target rock body when the target rock body collapses under different earthquake amplitudes according to the yield data, the first material information and the second material information, determining a dynamic friction weakening coefficient of the target rock body in the process of collapsing under different earthquake amplitudes according to the first material information and the second material information, determining an ideal sliding range of the target rock body according to the crushing energy consumption and the dynamic friction weakening coefficient under different earthquake amplitudes, and predicting the disaster range of the target rock body when the target rock body collapses on the target sliding bed according to the ideal sliding range and the morphological information. The method has the advantages that the huge fracture surface energy ignored by the traditional method can be accurately calculated, the prediction deviation of the disaster causing range caused by overestimation of residual kinetic energy is effectively eliminated, and the dynamic friction weakening factor which is difficult to measure can be accurately obtained, so that the prediction precision of the disaster causing range of the high-position rock mass remote landslide is greatly improved, and the physical reality and the calculation precision of the prediction result are remarkably improved. In order to solve the technical problems, the application provides five aspects. The application provides a prediction method of an earthquake collapse disaster range, which comprises the steps of obtaining yield data, first material information and form information and second material information of a target rock body, determining crushing energy consumption of the target rock body when collapse occurs under different earthquake amplitudes according to the yield data, the first material information and the second material information, determining a dynamic friction weakening coefficient of the target rock body in the process of collapse under different earthquake amplitudes according to the first material information and the second material information, determining an ideal sliding range of the target rock body according to the crushing energy consumption and the dynamic friction weakening coefficient under different earthquake amplitudes, and predicting the disaster range of the target rock body when collapse occurs on the target slide according to the ideal sliding range and the form information. In some embodiments, determining crushing energy consumption of the target rock mass when the target rock mass collapses at different seismic amplitudes according to the occurrence of the collapse of the target rock mass comprises: determining a target seismic amplitude in a preset amplitude interval; the method comprises the steps of determining a reference rock mass similar to a target rock mass