LEGO-type Structural Design and Binocular Visual Interface

乐高式结构设计和双目视觉界面

• 批准号: 09651022
• 负责人: KISHI Mitsuo
• 金额: $ 2.05万
• 依托单位: Osaka Prefecture University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1997
• 资助国家: 日本
• 起止时间: 1997 至 1998
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-09651022/
• 关键词: Structural design; Optimum design; Neural networks; Boltzmann machine; Visualization; Stereoscopy; Head mounted display; LEGO-type structure; 人工現実感; ポルツマンマシン; 形態設計; トラス構造; レゴ構造設計; ヘッドマウントディスプレイ

LEGO is a toy block of North Europe origin. LEGO blocks play has some analogy with practical structure designs. Such structures are composed of the elements from finite sets on account of the industrial standard and for reasons of economical/building efficiencies. We call them by the name of 'LEGO-type structures.' Scaffolding structures are typical examples of the LEGO-type structure, and very large space structures may be also.We classify LEGO-type structural designs into three modes : system design, connection design, and elements design. Considered in this study is the connection design mode for LEGO-type truss structures. LEGO-type blocks of the same kind are used, and the loading conditions are assumed to be given. Assembling the blocks we try to find the optimal configuration. The design variables to represent the structural configuration are discrete ; so that the design optimization is a discrete optimization problem.Neural networks consist of mutually interconnected neurons. Some discrete optimization problems can be programmed and solved on artificial neural networks that minimize their own energy. The discrete variables are represented numerically by neurons. The neuron state takes binary values of one or zero. To escape from the local minimum we introduce the Boltzmann machine, which is a probabilistic neural networks model combined with the simulated annealing algorithm.Numerical examples are provided to verify the applicability of the proposed method. In order to visualize the optimal structure, we introduce a virtual reality system using a head mounted display. Despite binocular stereopsis, it is not easy to recognize the configuration of a complicated truss structure.

乐高（LEGO）是起源于北欧的积木玩具。乐高积木游戏与实际结构设计有一些相似之处。出于工业标准和经济/建筑效率的原因，此类结构由来自有限集合的元素组成。我们将它们称为“乐高型结构”。脚手架结构是乐高型结构的典型例子，超大空间结构也可能是。我们将乐高型结构设计分为三种模式：系统设计、连接设计和元件设计。本研究考虑的是乐高型桁架结构的连接设计模式。使用相同类型的乐高型积木，并假定给定加载条件。通过组装块，我们尝试找到最佳配置。表示结构配置的设计变量是离散的；因此设计优化是一个离散优化问题。神经网络由相互互连的神经元组成。一些离散优化问题可以在人工神经网络上进行编程和解决，从而最小化其自身能量。离散变量由神经元以数字形式表示。神经元状态采用二进制值 1 或 0。为了摆脱局部极小值，我们引入了玻尔兹曼机，它是一种与模拟退火算法相结合的概率神经网络模型。通过数值算例验证了该方法的适用性。为了可视化最佳结构，我们引入了使用头戴式显示器的虚拟现实系统。尽管有双眼立体视觉，但识别复杂桁架结构的配置并不容易。

项目成果

振動騒音部門委員会振動騒音の最適化ワーキンググループ: "振動騒音の最適化,技術報告シリーズ28" 自動車技術会, 430 (1998)

振动和噪声分部委员会振动和噪声优化工作组：“振动和噪声的优化，技术报告系列28”日本汽车工程师学会，430（1998）

M.Kishi, et al.: "LEGO-type Structural Design and Binocular Visual Interface (in Japanese)" Proc.of 22th NCP Research Sympo.JSME Kansai. 1-2 (1998)

M.Kishi 等人：“乐高型结构设计和双目视觉界面（日语）”Proc.of 22th NCP Research Sympo.JSME Kansai。

M.Kishi, et al.: "Concreting Schedule of Immersed Tube at Sea (in Japanese)" Proc.of 5th Sympo.on System Optimization, Japan Society of Civil Eng.39-42 (1997)

M.Kishi 等人：“海上浸入式管混凝土施工进度表（日语）”Proc.of 5th Sympo.on System Optimization，日本土木工程学会，39-42 (1997)

M.Kishi: "LEGO-Type Structural Design by Boltzmann Machine" CD-ROM Proc.of Int.Sympo.on Optimization & Innovative Design. #129 (1997)

M.Kishi：“玻尔兹曼机的乐高型结构设计”CD-ROM Proc.of Int.Sympo.on Optimization

M.Kishi, et al.: "LEGO-Type Structural Design by Boltzmann Machine" Proc. of Int.Sympo.on Optimization & Innovative Design, JSME. CD-ROM #129. (1997)

M.Kishi 等人：“玻尔兹曼机的乐高型结构设计”Proc。