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相关概念视频

Design Example: Designing Water Slide01:18

Design Example: Designing Water Slide

159
When designing a water slide, controlling the speed of water flow is crucial for rider safety while maintaining an exciting experience. As water flows down the slide, gravity causes it to accelerate, with its speed at the bottom depending on the height from which it starts. The higher the slide, the more potential energy the water has at the top, which is converted into kinetic energy as it descends, increasing its speed.
Bernoulli's principle determines the water's velocity along the...
159
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

46
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
46
Concepts and Prototypes01:24

Concepts and Prototypes

139
The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
The brain organizes this information using concepts, which are mental categories grouping linguistic data,...
139
Design Consideration01:22

Design Consideration

186
Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
186
Design Example: Dimensioning of Concrete Masonry Construction01:13

Design Example: Dimensioning of Concrete Masonry Construction

95
For the construction of a storeroom using concrete masonry units, it's essential to align the dimensions of the structure with the actual sizes of the blocks and the intended mortar joints. On the site in question, there's a stockpile of concrete masonry blocks with a nominal size of eight by eight by sixteen inches, which are to be used in the construction of the storeroom.
The site engineer has laid out a plan for the storeroom with external dimensions of twelve feet in length and...
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Response Surface Methodology01:16

Response Surface Methodology

128
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
128

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跨多个概念的设计优化框架.

Angus Kenny1, Tapabrata Ray1, Hemant Singh2

  • 1School of Engineering and Technology, University of New South Wales, Canberra, ACT, 2600, Australia.

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此摘要是机器生成的。

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科学领域:

  • 工程设计 工程设计 工程设计
  • 计算科学 计算科学
  • 机器学习 机器学习

背景情况:

  • 最初的概念设计阶段显著影响产品生命周期成本 (高达70%).
  • 由于固定的概念假设和计算需求,标准优化方法不适合多概念设计阶段.
  • 现有的方法难以有效地搜索具有不同类型变量的多种概念解决方案.

研究的目的:

  • 开发一个有效的框架,在多个工程设计概念中寻找最佳解决方案.
  • 解决在早期的多概念设计阶段应用优化方法的差距.
  • 通过逐步评估有前途的概念和解决方案,尽量减少计算预算.

主要方法:

  • 一个新的框架,用于概念和解决方案评估的数据驱动决策.
  • 树结构帕森估计器 (TPE) 与高斯过程 (GP) 和随机森林 (RF) 回归器的集成.
  • 扩展GP和RF用于多概念搜索,并突出了TPE在设计优化中的好处.

主要成果:

  • 在多个概念中使用异质变量类型 (连续,二进制,离散,分类) 的有效搜索.
  • 在有限的计算预算下,在各种案例研究中成功应用,包括悬臂梁,冠状动脉支架和格子结构.
  • 验证框架能够降低计算成本并避免过早的融合的能力.

结论:

  • 开发的框架有效地支持设计师在基于概念的设计阶段.
  • 机器学习的进步,特别是TPE,为多概念设计优化提供了显著的好处.
  • 这种方法填补了关键的空白,提高了早期工程设计的效率和有效性.