使用混合机器学习模型预测微石灰稳定硫酸盐沙的强度,这些模型是使用子搜索算法进行优化的
Shufeng Chen1, Boli Liu1, Huanhuan Li2
1Shaanxi Key Laboratory of Safety and Durability of Concrete Structures, Xijing University, Xi'an, 710123, China.
Scientific reports
|December 18, 2025
概括
预测微石稳定硫酸盐沙 (MSLSS) 的无限制压力强度 (UCS) 对基础设施设计至关重要. 通过Sparrow Search Algorithm (SSA) 优化的混合机器学习模型显著提高了UCS的预测准确性.
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
- 机器学习应用 机器学习应用
背景情况:
- 准确预测微石稳定硫酸盐沙 (MSLSS) 的无限制压力强度 (UCS) 对干旱地区的基础设施发展至关重要.
- 影响因素之间的复杂,非线性关系对传统的预测方法构成重大挑战.
研究的目的:
- 开发和评估混合机器学习 (ML) 模型,用于预测MSLSS的UCS.
- 调查Sparrow搜索算法 (SSA) 在优化ML模型以提高预测准确性的有效性.
主要方法:
- 通过将Sparrow搜索算法 (SSA) 与XGBoost (XGB),随机森林 (RF) 和决策树算法集成,开发混合ML模型.
- 在实验数据集上的训练和测试模型包括石灰含量,微含量,固化日,固化条件,最佳水分含量 (OMC) 和最大干密度.
- 使用R2,MAE,MSE和MRE指标进行绩效评估,并通过基于SHAP的可解释性分析进行补充.
主要成果:
- SSA优化显著提高了所有基础ML模型的预测准确度和概括性.
- 在测试组中,混合XGB-SSA模型实现了最高的预测准确性 (R2 = 0.982,MAE = 1.358).
- 最佳水分含量 (OMC) 和微含量被确定为最有影响力的输入变量.
结论:
- 混合ML模型,特别是XGB-SSA模型,为预测MSLSS UCS.提供了强大而准确的方法.
- 该研究为地质工程师提供了宝贵的见解,支持在干旱环境中更安全,更有效的基础设施设计.
- 这些发现突显了SSA优化的ML模型在地质技术材料表征中的潜力.
相关概念视频
Design Example: Aggregate Gradation
284
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...
284
Simplified Synchronous Machine Model
723
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
In this model, each generator is connected to a...
723
Fineness of Cement
433
The fineness of cement directly influences the rate of hydration, as the hydration begins at the surface of the cement particles. In addition to hydration, the fineness of cement is vital for various properties of concrete including workability, gypsum requirement, and long-term behavior. The fineness of cement is represented in terms of the specific surface of cement which is typically measured in square meters per kilogram, with several methods available for this determination.
Direct...
Direct...
433
Specific Gravity of Aggregate
739
Aggregates typically contain pores, which can be either permeable or impermeable. Considering the pores in the aggregates, the specific gravity of aggregates is defined in three different forms, namely, bulk or gross specific gravity, apparent specific gravity, and absolute specific gravity.
Bulk or gross specific gravity is calculated by taking the ratio of the mass of aggregates in the saturated surface-dry state to the total volume that includes both the solids and the voids within the...
Bulk or gross specific gravity is calculated by taking the ratio of the mass of aggregates in the saturated surface-dry state to the total volume that includes both the solids and the voids within the...
739
Moisture Content and Bulking of Aggregate
404
The moisture content of aggregates is a crucial factor in construction, particularly in concrete mixing, as it influences the total water required in the mix. Moisture content represents the water coated on the exterior surface of the aggregate existing in a saturated and surface-dry condition. The total water content of a moist aggregate is the sum of its moisture content and water absorption.
When aggregates are exposed to rain or sit in stockpiles, they absorb moisture, which must be...
When aggregates are exposed to rain or sit in stockpiles, they absorb moisture, which must be...
404
Bonding and Strength of Aggregate
437
The bond between aggregate particles and the cement matrix is significantly influenced by the shape and surface texture of the aggregates. High-strength concretes benefit from a rougher texture, which leads to stronger bonding due to greater adhesion. Angular aggregates with larger surface areas also enhance this bond. The bonding quality, however, is complex to assess as no universally accepted test exists. Good bonding is indicated when a crushed concrete specimen shows some aggregate...
437

