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A fast optimal design method for joints of self-resetting prefabricated frame structures

A frame structure, optimization design technology, applied in multi-objective optimization, computer-aided design, building construction, etc., can solve problems such as low efficiency, inability to generate results, and low accuracy

Active Publication Date: 2020-02-04
NINGBO UNIVERSITY OF TECHNOLOGY
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  • Summary
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0002] The existing self-resetting prefabricated frame structure node iteration and trial-and-error design methods have low accuracy, slow operation, low efficiency, and are not intuitive, which will lead to the complex setting of self-resetting prefabricated frame structure nodes and cannot be completed in a short time. Generate results within the time

Method used

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  • A fast optimal design method for joints of self-resetting prefabricated frame structures
  • A fast optimal design method for joints of self-resetting prefabricated frame structures
  • A fast optimal design method for joints of self-resetting prefabricated frame structures

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Embodiment Construction

[0052] The following are specific embodiments of the present invention and in conjunction with the accompanying drawings, the technical solutions of the present invention are further described, but the present invention is not limited to these embodiments.

[0053] A self-resetting prefabricated frame structure node rapid optimization design method, including steps:

[0054] Create self-resetting prefabricated frame structures;

[0055] The self-resetting prefabricated frame structure nodes were optimized by genetic algorithm to determine the optimal combination of the minimum area of ​​prestressed tendon, the maximum area of ​​energy-dissipating reinforcement and the minimum unbonded length of energy-dissipating reinforcement.

[0056] Further, the step of creating a self-resetting prefabricated frame structure specifically includes:

[0057] Obtain the size, material properties, lateral force and target interstory displacement angle of the frame;

[0058] Design self-reset...

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Abstract

The present invention provides a fast optimization design method for self-resetting prefabricated frame structure nodes, which is used to optimize the problem of self-resetting prefabricated frame structure nodes. The method includes the steps of: creating a self-resetting prefabricated frame structure; nodes to determine the optimal combination of minimum area of ​​prestressing tendons, maximum area of ​​energy dissipating bars, and minimum unbonded length of energy dissipating bars. The rapid optimization design method proposed in this application has the characteristics of accuracy, high efficiency and intuition. In addition, it can automatically generate optimized design results in a very short time.

Description

technical field [0001] The invention relates to the technical field of building structure design, in particular to a fast optimization design method for self-resetting prefabricated frame structure nodes. Background technique [0002] The existing self-resetting prefabricated frame structure node iteration and trial-and-error design methods have low accuracy, slow operation, low efficiency, and are not intuitive, which will lead to the complex setting of self-resetting prefabricated frame structure nodes and cannot be completed in a short time. results within a time period. Contents of the invention [0003] In order to solve the above problems, the present invention provides a fast optimal design method for self-resetting prefabricated frame structure nodes. [0004] In order to achieve the above object, the present invention adopts the following technical solutions: [0005] A self-resetting prefabricated frame structure node rapid optimization design method, including...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/13E04B1/20G06F111/06G06F119/14
CPCE04B1/20G06F2111/06G06F30/13G06F2119/06
Inventor 陈跃蔡可键李青倩曹宏涛徐世安
Owner NINGBO UNIVERSITY OF TECHNOLOGY
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