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相关概念视频

Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

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Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
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Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

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On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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Modeling and Similitude01:12

Modeling and Similitude

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Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
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Typical Model Studies01:30

Typical Model Studies

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Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
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Mathematical Modeling: Problem Solving01:29

Mathematical Modeling: Problem Solving

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Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...
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3D Printing of Biomolecular Models for Research and Pedagogy
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实验论文中的物理和数学建模

Wolfram Möbius1, Liedewij Laan2

  • 1Department of Physics and FAS Center for Systems Biology, Harvard University, Cambridge, MA 02138, USA.

Cell
|December 22, 2015
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概括

这本手册指导研究人员将理论建模与实验工作整合起来. 它详细介绍了组合出版的模型类型和最佳实践,以加强科学理解和合作.

科学领域:

  • 跨学科的科学研究
  • 计算机建模和模拟

背景情况:

  • 越来越多的人将计算模型纳入科学出版物.
  • 建模增强了对实验和理论研究社区的理解和桥梁.
  • 对于作者,评论员和读者来说,整合实验和理论工作存在挑战.

研究的目的:

  • 为最大限度地提高理论和实验研究出版物的效用和影响提供指南.
  • 澄清科学模型的目的,好处和各种类型.
  • 解决综合出版物的实际问题.

主要方法:

  • 描述不同类型模型的用途和实用性.
  • 有效科学建模的特征概述.
  • 关于综合研究呈现策略的指导.
  • 促进生产合作的建议.

主要成果:

  • 确定成功整合出版的关键要素.
  • 评估科学模型质量的框架.
  • 与实验数据一起清晰地传达建模结果的策略.

结论:

  • 模拟和实验工作的有效整合需要注意模型选择,呈现和协作.

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  • 这本指南为提高跨学科研究质量和影响提供了实用建议.
  • 坚持最佳实践可以克服联合出版的挑战,并促进更强大的科学社区.