基于基因算法逆转的岩石类材料比例优化的实验研究
Hui Su1,2,3, Shaoxing Liu1,2,3, Baowen Hu1,2,3
1College of Water Conservancy and Hydropower, Hebei University of Engineering, Handan 056038, China.
Materials (Basel, Switzerland)
|October 16, 2024
概括
优化岩石类材料比率对于准确的机械性质表征至关重要. 该研究确定了最佳的水糊比率,铁粉和粗沙含量,以模仿格尼斯石岩的性能.
科学领域:
- 地质技术工程 地质技术工程
- 材料科学 材料科学 材料科学
- 岩石机械学 岩石机械学
背景情况:
- 对岩石类材料的机械性能进行准确的表征对于工程应用至关重要.
- 格尼斯基花岩的复杂机械行为需要优化合成材料组成.
- 了解成分比对宏观机械参数的影响是关键.
研究的目的:
- 确定岩石类材料的最佳比例,以模仿格尼斯石榴石的机械性能.
- 确定影响宏观机械参数的重要因素.
- 为岩石类材料比率开发一个预测模型和优化程序.
主要方法:
- 采用直角测试设计,系统地改变关键材料比率.
- 对变异的敏感性分析 (ANOVA) 用于评估影响因素的意义.
- 多变量线性回归和基因算法反转被用于建模和优化.
主要成果:
- 水粘贴比率显著影响了压力强度,拉力强度,剪切强度,弹性模量,波松比率和凝聚力.
- 铁粉含量极大地影响了压力强度,拉力强度,剪切强度和凝聚力,对波桑比率和内部摩擦角度有显著影响.
- 粗沙含量显著影响了压力强度,弹性模量和凝聚力.
结论:
- 开发的多重线性回归模型可靠地预测了岩石类材料的宏观机械参数.
- 一个基于遗传算法的优化程序有效地确定了最佳的材料比率.
- 模仿格尼斯岩石的最佳岩石状物质比率是水糊比率为0.5325,铁粉含量为3.975%,粗沙含量为15.967%.
相关概念视频
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
44
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...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
44
Design Example: Aggregate Gradation
91
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...
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...
91
Design Example: Managing Concrete Workability
74
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.
74


