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A Distributed Computing Method for Building Group Disaster Simulation Based on Finite Particle Method

A distributed computing and building complex technology, applied in computing, complex mathematical operations, instruments, etc., can solve the problems such as the inability to efficiently carry out earthquake damage simulation, the difficulty of solving stiffness matrix, and the low efficiency of large-scale computing. performance, improve computing speed, improve computing scale and computing efficiency

Active Publication Date: 2022-02-18
SHANTOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the research of the prior art, GPU is mostly used as the computing platform, and the building is modeled with the nonlinear multi-degree-of-freedom shear model and the multi-degree-of-freedom bending-shear coupling model, and the nonlinear dynamic time history calculation is used as the analysis method to conduct urban area The method of earthquake damage analysis has achieved good simulation results, but this type of method is limited by the computing power of a single computer. When the urban area building group reaches a certain scale, the earthquake damage simulation cannot be carried out efficiently
[0003] In addition, most of the large-scale structural simulations currently use the finite element method as the calculation theory. This calculation theory is based on continuum mechanics. The element stiffness matrix is ​​integrated with the overall stiffness matrix. Linear effect, but in the face of massive calculation units of urban buildings, it becomes very difficult to solve the stiffness matrix. Therefore, this type of method is relatively inefficient for large-scale calculations, and there are defects such as "life and death units" and "grid division" that affect calculations. the accuracy of

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  • A Distributed Computing Method for Building Group Disaster Simulation Based on Finite Particle Method
  • A Distributed Computing Method for Building Group Disaster Simulation Based on Finite Particle Method
  • A Distributed Computing Method for Building Group Disaster Simulation Based on Finite Particle Method

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Embodiment 1

[0094] like figure 1 As shown, this embodiment provides a distributed computing method for catastrophe simulation of building groups based on the finite particle method, including the following steps:

[0095] S1. Data related to the structure of the building group is transmitted to the main control node for preparation and startup of distributed computing;

[0096] S2. The master control node distributes the data related to the structure of the building group to the execution processes on the slave nodes in the cluster through the high-speed network;

[0097] S3. Execute the calculation of particle displacement and unit internal force on the data related to the structure of the building group from the execution process on the node;

[0098] S4. The execution process on the slave node submits the calculation result back to the master control node, and the master control node updates the resultant force and resultant moment of each mass point in the building complex structure....

Embodiment 2

[0161] The specific calculation method steps of this embodiment are the same as those of Embodiment 1, the difference is that in this embodiment, specific Spark is used as a distributed parallel computing framework for calculation, YARN is used as a cluster resource manager, and the specific distributed computing system structure and management Flowchart such as image 3 As shown, the user first submits the calculation task of the urban building group through the Spark Yarn Client. After receiving the task, the Resource Manager selects a Node Manager in the cluster to allocate the Container, starts the Application Master process in the Container, initializes the SparkContext in the Application Master, and then the Application The Master applies for a Container from the Resource Manager, and after applying for the Container, notifies the Node Manager to start the Executor process in the obtained Container. SparkContext assigns Task to Executor, and Executor sends running status...

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Abstract

The invention relates to the field of distributed data processing, and discloses a distributed computing method for building group disaster simulation based on finite particle method. Preparation and startup of the calculation; S2, the master control node distributes the data related to the structure of the building complex to the execution process on the slave node in the cluster through the high-speed network; S3, the execution process on the slave node executes the particle displacement and unit on the data related to the structure of the building complex Calculation of internal force; S4. The execution process on the slave node submits the calculation result back to the master control node, and the master control node updates the resultant force and resultant moment of each particle in the building complex structure. The invention takes the finite mass point method as the calculation basis, and effectively realizes large-scale and high-efficiency earthquake disaster simulation calculation of urban building groups through distributed computing of computer clusters.

Description

technical field [0001] The invention relates to the field of distributed data processing, and more specifically, to a distributed computing method for catastrophe simulation of building groups based on the finite particle method. Background technique [0002] In recent years, earthquakes have occurred frequently in various regions of the world, posing a great threat to the safety of life and property. Therefore, it is of great scientific significance and engineering value to scientifically predict the earthquake damage of urban buildings, discover the weak links of earthquake resistance, and reduce earthquake losses. In order to solve the problem of earthquake disaster simulation of urban building complexes, many scholars have conducted research on large-scale calculations of urban building complexes. In the research of the prior art, GPU is mostly used as the computing platform, and the building is modeled with the nonlinear multi-degree-of-freedom shear model and the mult...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/13G06F17/11G06Q10/06G06Q50/08G06F119/14
CPCG06F30/13G06F17/11G06Q10/0635G06Q50/08G06F2119/14
Inventor 郑伟发闫敬文喻莹彭鸿
Owner SHANTOU UNIV