组装机器学习模型来预测混凝土的强度,使用造砂和煤底灰作为细聚合物的替代品
Sagar Paruthi1, Rashmi Verma2, Neha Sharma3
1School of Architecture and Design, K.R. Mangalam University, Gurugram, India.
Scientific reports
|November 3, 2025
概括
这项研究引入了一种机器学习框架,用于预测可持续混凝土的压力强度,使用工业废物,如造砂和煤炭底灰. 极端梯度提升模型准确预测混凝土的强度,有助于环保建筑.
科学领域:
- 材料科学 材料科学 材料科学
- 土木工程 土木工程是指土木工程.
- 人工智能的人工智能
背景情况:
- 对可持续混凝土的日益增长的需求需要替代自然沙子.
- 工业废物,如造砂 (FS) 和煤底灰 (CBA) 是可行的环保替代品.
- 预测混凝土与这些废料的压力强度 (CS) 是由于复杂的相互作用而具有挑战性.
研究的目的:
- 开发和评估一种新的机器学习框架,用于预测结合FS和CBA的混凝土的CS.
- 为此预测任务确定最有效的机器学习模型.
- 分析混合设计参数对双废混凝土CS的影响.
主要方法:
- 172个使用FS和CBA的混凝土混合设计的数据集从现有文献中编制出来.
- 包括集体方法在内的9个机器学习模型进行了训练和验证.
- 极端梯度增强 (XGBoost) 模型是基于其预测性能而选择的.
主要成果:
- 该XGBoost模型在预测CS方面表现出很高的准确性,实现R2 = 0.983,RMSE = 1.54 MPa,MAPE = 3.47%.
- 特性重要性分析揭示了固化持续时间,超级可塑剂剂量,水泥含量和水与水泥的比率作为关键预测因素.
- 整体机器学习模型显示,在混凝土中具有双重工业废物整合的强度预测具有显著的潜力.
结论:
- 拟议的AI驱动框架有效地预测了具有FS和CBA的可持续混凝土的CS.
- 这种方法加速了可持续的混凝土混合设计,降低了实验成本,并促进了循环经济.
- 这些发现支持工业副产品在建筑材料中的使用增加.
相关概念视频
Bonding and Strength of Aggregate
453
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...
453
Design Example: Aggregate Gradation
299
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...
299
Strength of Cement
440
Strength tests for cement are not performed directly on neat cement paste due to difficulty in obtaining consistent, reliable specimens. Instead, cement is typically tested in the form of cement-sand mortar.
For compressive strength tests, ASTM C 109-05 standards prescribe a cement-sand mix ratio of 1:2.75 and a water/cement ratio of 0.485 for making 2-inch cubes. These cubes are mixed, cast, and cured in saturated lime water at 23°C until testing. Flexural strength testing, outlined in...
For compressive strength tests, ASTM C 109-05 standards prescribe a cement-sand mix ratio of 1:2.75 and a water/cement ratio of 0.485 for making 2-inch cubes. These cubes are mixed, cast, and cured in saturated lime water at 23°C until testing. Flexural strength testing, outlined in...
440
Deleterious Substances in Aggregate
526
Deleterious substances in aggregates can be detrimental to the quality and durability of concrete. These substances include organic impurities like loam, which interfere with cement hydration and are usually present in the sand. These prevent a good bond between aggregate and cement paste. Organic impurities can be detected using the colorimetric test, where the darkness of a solution after agitation indicates the level of organic content.
Another type of impurity is clay and fine material that...
Another type of impurity is clay and fine material that...
526
Fatigue Strength of Concrete
527
Fatigue, in the context of materials science and engineering, refers to the weakening or failure of a material caused by repeatedly applied loads, even if these loads are below the strength limit of the material. Fatigue strength in concrete is a critical property that influences its durability and longevity. Concrete can fail in two ways due to fatigue. Static fatigue or creep rupture occurs under a constant load or one that increases slowly. The other failure mode is due to cyclical or...
527
Aggregates Classification
962
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
962


