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相关概念视频

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

288
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...
288
Design Example: Managing Concrete Workability01:14

Design Example: Managing Concrete Workability

298
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.
298
Design Example: Aggregate Gradation01:24

Design Example: Aggregate Gradation

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The right type and quality of aggregates are crucial for concrete as they significantly influence its properties, mix proportions, and cost-effectiveness. If different sources are available for sand, the commonly used fine aggregate in concrete, the selection of sand is primarily based on its gradation.
The grading, or particle-size distribution, of sand is determined using sieve analysis, with standard sizes ranging from 150 μm to 10 mm (ASTM No. 100 sieve to 3⁄8 in. sieve). Sand is...
309

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一个新的模拟回火算法,用于在采矿综合体中同时开采和废弃物倾倒的调度.

Jingsi Lin1, Mohammad Waqar Ali Asad1, Erkan Topal1

  • 1Western Australian School of Mines: Minerals, Energy, and Chemical Engineering, Curtin University, Carlisle, Australia.

PloS one
|October 7, 2025
PubMed
概括

本研究引入了一种新的模拟炼 (SA) 算法,用于优化露天采矿开采和废物倾倒时间表. 这种新的方法显著减少了计算时间,同时提供了高质量的净现值 (NPV) 解决方案.

科学领域:

  • 运营研究 运营研究
  • 采矿工程 采矿工程 采矿工程
  • 计算优化计算优化

背景情况:

  • 由于许多变量和约束,露天采矿的生产时间表是复杂的.
  • 现有的数学模型在大规模操作中难以计算强度,尤其是在整合废物倾倒时.
  • 同时优化开采和废物处理是采矿规划中的一个重大挑战.

研究的目的:

  • 开发一个计算效率高的算法,同时优化开采采矿区块提取和废弃物倾倒的序列.
  • 解决现有模型在处理大规模,复杂的调度问题的局限性.
  • 提高优化技术在采矿生产计划中的实际适用性.

主要方法:

  • 开发一种基于新型模拟化 (SA) 的算法.
  • 纳入创新的变量减小技术来简化这个问题.
  • 利用启发式来生成可靠的初始解决方案以增强融合.
  • 与商业解决方案进行性能评估的比较.

主要成果:

  • 拟议的SA算法在商业解决方案的精确解决方案的6.08%内实现了净当前价值 (NPV).
  • 与商业解决方案相比,运行时间减少了82%.
  • 该算法表现出强大的性能,并为商业解决方案人员难以解决的更大的实例提供了高质量的解决方案.

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结论:

  • 新的SA算法提供了一种高效有效的解决方案,用于同时优化采矿开采和废物倾倒时间表.
  • 这种方法克服了大型采矿操作的传统方法的计算局限性.
  • 该方法为改善开采矿生产规划决策提供了一个实用的工具.