System for predicting compressive strength of e.g. normal strength concrete, through e.g. advanced data analysis, in e.g. buildings, has evaluation module for evaluating model performance, and prediction module for generating concrete strength estimates
	SINGH L; VIKAL A
	2024-12-27
专利权人	UNIV CHANDIGARH (UNCD-C)
申请日期	2024-12-27
专利号	IN202411103733-A
成果简介	NOVELTY - The system (100) has a data collection module for gathering concrete composition and environmental data. A pre-processing module cleans and prepares input data. A machine learning model uses an extra trees regressor process. An evaluation module evaluates model performance. A prediction module generates concrete strength estimates. A user interface inputs concrete parameters and displays strength predictions. A shapley additive explanations (SHAP) analysis module determines relative importance of different input factors and recommends optimal material combinations to achieve target strength levels. A material optimization module utilizes a predictive model to suggest concrete mix designs that minimize material waste while satisfying specified strength requirements for promoting sustainable construction practices. USE - System for predicting compressive strength of concrete e.g. ready mixed concrete (RMC), high strength concrete (HSC), and normal strength concrete (NSC), through advanced data analysis and machine learning techniques in buildings and structures. ADVANTAGE - The system employs extra trees regressor programs to analyze concrete composition data and environmental factors to predict compressive strength with high accuracy. The system can identify an effective regression model for predicting concrete compressive strength with an extra trees regressor process showing better performance, and allows engineers, contractors, and material suppliers with powerful tools to optimize concrete mix design and ensure structural integrity, thus enhancing efficiency of the system and ensuring robust predictions and continuous improvements. The system evaluates the model performance through cross-validation and generates predictions based on input parameters so as to improve the model iteratively, incorporate feedback and new data, effectively cover different concrete types such as ready-mixed, high-strength, and normal-strength concrete. The system utilizes feature engineering and advanced preprocessing techniques to enhance model accuracy, thus allowing reliable strength predictions across different concrete types using a unified approach. DETAILED DESCRIPTION - An INDEPENDENT CLAIM is included for a method for predicting compressive strength of concrete. DESCRIPTION OF DRAWING(S) - The drawing shows a flow diagram illustrating a method for predicting compressive strength of concrete. 100System for predicting compressive strength of concrete
IPC 分类号	C04B-040/00 ; G01N-003/02 ; G06N-020/00 ; G06N-020/20 ; G06N-003/084
国家	印度
专业领域	材料科学
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13749
专题	中国科学院新疆生态与地理研究所
作者单位	UNIV CHANDIGARH (UNCD-C)
推荐引用方式 GB/T 7714	SINGH L,VIKAL A. System for predicting compressive strength of e.g. normal strength concrete, through e.g. advanced data analysis, in e.g. buildings, has evaluation module for evaluating model performance, and prediction module for generating concrete strength estimates. IN202411103733-A[P]. 2024.

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