旧混凝土骨料类型对碎石化层综合回弹模量的影响分析数据

本数据聚焦于分析旧混凝土骨料类型对碎石化层综合回弹模量的影响，揭示了旧混凝土骨料类型与碎石化层综合回弹模量之间的定量关系。公司可通过本数据分析不同骨料类型的旧混凝土对碎石化层综合回弹模量的影响规律，精准调控施工工艺的操作参数，提升碎石施工质量。本数据可以给建筑材料领域的相关科研工作者、技术研发人员、工程监理人员、工程质量检验人员等使用，为他们围绕旧混凝土板骨料类型、碎石化层综合回弹模量等角度开展碎石工程的相关预测分析、质量控制、科学研究、技术优化等工作提供支撑。1.数据采集：记录不同旧混凝土骨料类型下碎石化层综合回弹模量测试数据，具体包括测试点编号、测试时间、旧混凝土骨料类型（如石灰石、花岗岩等）、碎石化层综合回弹模量/MPa等字段。
2.数据预处理：(1)对采集的数据进行去噪处理，确保数据准确性。(2)把历史采集的数据（包含本次采集）进行聚合，形成数据集X，并针对数据集X中的碎石化层综合回弹模量字段，计算出其平均值。
3.3.计算多元线性回归系数（a1、a2、a3）和截距b：基于数据集X（以不同的旧混凝土骨料类型对应的编码值为自变量、碎石化层综合回弹模量为因变量），运用LINEST函数，基于运用最小二乘法原理确定各旧混凝土骨料类型对碎石化层综合回弹模量的影响系数（a1、a2、a3）和截距b。
4.结果运用：（1）计算影响比例系数k1、k2、k3：k1=|a1/碎石化层综合回弹模量平均值|×100%，k2=|a2/碎石化层综合回弹模量平均值|×100%，k3=|a3/碎石化层综合回弹模量平均值|×100%。（2）若k≥10%，则判定为“高影响”，若5%≤k＜10%，则判定为“中影响”，若k＜5%，则判定为“低影响”。"

This dataset focuses on analyzing the impact of old concrete slab aggregate types on the comprehensive resilient modulus of the crushed concrete layer, and reveals the quantitative relationship between old concrete slab aggregate types and the comprehensive resilient modulus of the crushed concrete layer. Construction enterprises can use this dataset to analyze the influence law of old concrete slabs with different aggregate types on the comprehensive resilient modulus of the crushed concrete layer, precisely regulate the operating parameters of construction technology, and improve the quality of crushed concrete layer construction. This dataset can be used by relevant researchers, technical R&D personnel, construction supervisors, construction quality inspectors and other practitioners in the field of building materials, providing support for them to carry out predictive analysis, quality control, scientific research, technical optimization and other related work of crushed concrete layer engineering from the perspectives of old concrete slab aggregate types and comprehensive resilient modulus of the crushed concrete layer.

1. Data Collection: Record test data of the comprehensive resilient modulus of the crushed concrete layer under different old concrete slab aggregate types, including specific fields such as test point number, test time, old concrete slab aggregate type (e.g., limestone, granite, etc.), and comprehensive resilient modulus of the crushed concrete layer / MPa.
2. Data Preprocessing: (1) Perform denoising processing on the collected data to ensure data accuracy. (2) Aggregate the historically collected data (including this batch of collected data) to form dataset X, and calculate the average value of the field of comprehensive resilient modulus of the crushed concrete layer in dataset X.
3.3. Calculation of Multiple Linear Regression Coefficients (a1, a2, a3) and Intercept b: Based on dataset X (using the coded values corresponding to different old concrete slab aggregate types as independent variables and the comprehensive resilient modulus of the crushed concrete layer as the dependent variable), use the LINEST function to determine the influence coefficients (a1, a2, a3) of each old concrete slab aggregate type on the comprehensive resilient modulus of the crushed concrete layer and the intercept b based on the principle of least squares method.
4. Application of Results: (1) Calculate the influence proportion coefficients k1, k2, k3: k1 = |a1 / average value of the comprehensive resilient modulus of the crushed concrete layer| × 100%, k2 = |a2 / average value of the comprehensive resilient modulus of the crushed concrete layer| × 100%, k3 = |a3 / average value of the comprehensive resilient modulus of the crushed concrete layer| × 100%. (2) If k ≥ 10%, it is classified as "high impact"; if 5% ≤ k < 10%, it is classified as "medium impact"; if k < 5%, it is classified as "low impact".

搜集汇总

背景与挑战

背景概述

该数据集专注于分析旧混凝土骨料类型（如花岗岩、石灰石）对碎石化层综合回弹模量的影响，包含超过691条测试记录，以CSV格式存储，涵盖测试点、时间、骨料类型和回弹模量等关键字段。通过多元线性回归算法，数据量化了不同骨料类型的影响程度，并基于比例系数判定影响等级，旨在为建筑材料领域的施工质量控制、科研优化提供数据支撑。