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Binary particle swarm optimization algorithm-based automatic obstacle avoidance arrangement method for reinforcing steel bars in cross region of reinforced concrete member

A particle swarm optimization and reinforced concrete technology, applied in the information field, can solve problems such as difficult to obtain reinforcement design schemes, and achieve the effects of easy implementation, fast convergence speed, and simple calculation

Active Publication Date: 2021-01-15
CHONGQING UNIV IND TECH RES INST
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Problems solved by technology

Once there are many buildings and there are too many collision detection points in the buildings, the process of reinforcement design may go back and forth, and it is difficult to obtain the optimal reinforcement design scheme.

Method used

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  • Binary particle swarm optimization algorithm-based automatic obstacle avoidance arrangement method for reinforcing steel bars in cross region of reinforced concrete member
  • Binary particle swarm optimization algorithm-based automatic obstacle avoidance arrangement method for reinforcing steel bars in cross region of reinforced concrete member
  • Binary particle swarm optimization algorithm-based automatic obstacle avoidance arrangement method for reinforcing steel bars in cross region of reinforced concrete member

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Embodiment Construction

[0046] The present invention will be further described below in conjunction with the examples, but it should not be understood that the scope of the subject of the present invention is limited to the following examples. Without departing from the above-mentioned technical ideas of the present invention, various replacements and changes made according to common technical knowledge and conventional means in this field shall be included in the protection scope of the present invention.

[0047] This embodiment aims at the problems existing in the existing steel bar collision detection technology that can only detect the collision but cannot automatically adjust the position of the steel bar, the calculation time is long, and the accuracy is insufficient. question. Treat each rebar as an animatable agent. The movable agent starts from the starting point of each steel bar, and the target point is the end point of the steel bar. The working environment of the movable agent is as f...

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Abstract

The invention provides a binary particle swarm optimization algorithm-based automatic obstacle avoidance arrangement method for reinforcing steel bars in a cross region of a reinforced concrete member. The method comprises the steps that steel bars and components at nodes are represented in a discretization mode, intelligent arrangement of main beam steel bars in one direction is conducted througha binary particle swarm optimization algorithm, intelligent arrangement of main beam steel bars in the other direction is conducted through the binary particle swarm optimization algorithm, and the intelligent arrangement is saved as coordinates of the center lines of the steel bars; the coordinates of the center line of the reinforcing steel bar are adjusted and the adjusted coordinates of the center line of the reinforcing steel bar are output. The method solves the problems that in an existing steel bar collision detection technology, only collision can be detected, but the position of thesteel bar cannot be automatically adjusted, the automation level is low, and precision is insufficient.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a method for automatically avoiding obstacles and arranging steel bars in intersecting areas of reinforced concrete components based on a binary particle swarm optimization algorithm. Background technique [0002] In construction engineering, reinforced concrete is an essential component and plays an extremely critical role in architectural design and construction. Reinforced concrete structure refers to the structure made of concrete reinforced with steel bars. The steel bars bear the tension and the concrete bears the pressure. It has the advantages of firmness, durability, good fire resistance, saving steel and lower cost than steel structures. The reinforcement design of reinforced concrete members is often only related to the stress conditions, boundary conditions and member dimensions of the members. However, during the entire design and construction phase, due to the...

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Application Information

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IPC IPC(8): G06F30/13G06F30/27G06N3/00G06F111/06
CPCG06F30/13G06F30/27G06N3/006G06F2111/06Y02T10/40
Inventor 伍洲刘界鹏冯亮李盛
Owner CHONGQING UNIV IND TECH RES INST
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