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相关概念视频

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

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The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
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Load-frequency control01:28

Load-frequency control

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Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
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Design Example: Managing Concrete Workability01:14

Design Example: Managing Concrete Workability

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This example deals with managing the workability of concrete for a raft foundation project under hot weather conditions. Workability is crucial for ensuring the concrete is easy to place, compact, and finish. In this scenario, a slump test — a common method to measure the workability of fresh concrete — initially indicated low workability. This was attributed to the rapid water loss from the concrete mix, exacerbated by the high temperatures causing the course aggregates to heat up.
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Multimachine Stability01:25

Multimachine Stability

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Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
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Aggregate Cement Ratio01:21

Aggregate Cement Ratio

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The Aggregate Cement ratio refers to the weight of aggregate divided by the weight of cement in a concrete mix. Altering this ratio has profound effects on the concrete's properties. This ratio plays a pivotal role in determining the strength, workability, and durability of concrete. When the Aggregate Cement ratio is higher, the mix is leaner, meaning it has less cement paste to lubricate the aggregate, potentially making the concrete less workable. Such mixes, known as lean, enhance the...
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相关实验视频

Updated: Jan 11, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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一个双目标强大的模糊编程模型来配置基于微电网的水泥供应链.

Erfan Babaee Tirkolaee1,2,3, Hêriş Golpîra4, Salah Bahramara5

  • 1Department of Industrial Engineering, Istinye University, Istanbul, 34396, Turkey.

Scientific reports
|November 12, 2025
PubMed
概括

本研究介绍了一种强大的模糊优化模型,用于可持续的水泥供应链,集成微电网和可再生能源. 它平衡环境目标与经济可行性,为管理人员提供实用工具.

关键词:
水泥供应链中的水泥供应链.地方能源资源 地方能源资源MILP MILP 这是一个非常好的方法.微电网就是一个微电网.强大的模糊编程.

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科学领域:

  • 运营研究 运营研究
  • 供应链管理 供应链管理
  • 环境工程 环境工程

背景情况:

  • 水泥供应链面临着高能耗,排放和不确定性的挑战.
  • 整合可再生能源和排放控制对于可持续性至关重要.
  • 现有的模型往往难以在不确定性下解决多目标优化问题.

研究的目的:

  • 开发一种新的双目标强大的模糊混合整数线性编程 (MILP) 模型.
  • 配置基于微电网的水泥供应链,优化环境和经济因素.
  • 为了管理需求的不确定性,能源成本和排放参数.

主要方法:

  • 制定了一个双目标强大的模糊的MILP模型.
  • 集成了微电网,以利用当地可再生能源.
  • 权重总和方法 (WSM) 应用于帕雷托最佳解决方案.
  • 强大的模糊编程处理了参数不确定性.

主要成果:

  • 该模型成功地配置了一个可持续的水泥供应链.
  • 敏感性分析确定了关键的管理杆,如收入比率和满意度等.
  • 该模型展示了计算效率,在不到两秒的时间内找到解决方案.

结论:

  • 这项研究为水泥供应链提供了一个全面的,不确定性意识的优化框架.
  • 拟议的模型为减少环境影响和确保经济可行性提供了实际的决策支持.
  • 该框架解决了可持续供应链设计中的一个关键差距.