首页|基于Levenberg-Marquart算法的海工混凝土不同温湿环境下碳化深度预测研究

基于Levenberg-Marquart算法的海工混凝土不同温湿环境下碳化深度预测研究

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对不同温湿度条件下的12组海工混凝土进行了快速碳化试验,试验结果表明环境温湿度对海工混凝土抗碳化性能均有显著影响;随着环境湿度增加,海工混凝土碳化深度呈现先增大后减小的趋势,两者之间呈抛物线关系,且当相对湿度很低或很高时,海工混凝土碳化速度非常缓慢;而随着环境温度增加,海工混凝土碳化速度加快,两者呈指数函数关系.此外,基于试验与理论分析,引入温湿度影响系数对已有碳化深度数学模型改进,并利用Levenberg-Marquart算法对试验数据进行非线性曲面拟合,得到了改进的海工混凝土碳化深度预测模型,该模型可以较好地预测海工混凝土在不同温湿度条件下的碳化深度.
Predictions for Carbonation Depth of Marine Concrete Under Different Temperature and Humidity Environments Based on Levenberg-Marquart Algorithm
The rapid carbonation experiment of 12 groups of marine concrete was carried out under different temperature and relative humidity conditions.The experimental results showed that temperature and relative humidity had a significant impact on carbonation resistance of marine concrete.With the increase of relative humidity,the carbonation depth of marine concrete was characterized by an initial increase and then de-creased,showing a parabolic relation.Moreover,when the relative humidity was very low or very high,the carbonation rate of marine concrete was infinitely slow.While the carbonation rate of marine concrete was accelerated with the increase of temperature,the relation between carbonation depth and temperature was an exponential function.In addition,based on experimental and theoretical analysis,the temperature and humidity influence coefficients were introduced to improve the existing mathematical model of carbonation depth,and by using the Levenberg-Marquart algorithm to fit a nonlinear surface to the experimental data,a prediction model of the carbonation depth of marine concrete was constructed.This model could predict the carbonation depth of marine concrete under different temperature and humidity conditions.

marine concretecarbonation depthrelative humiditytemperaturecarbonation model

杜婷、曲鹏宇、纪宪坤、李智莹、王本武、陈森

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广州航海学院土木与工程管理学院,广州 510725

华中科技大学土木与水利工程学院,武汉 430074

中国建筑材料科学研究总院有限公司绿色建筑材料国家重点实验室,北京 100024

武汉三源特种建材有限责任公司,武汉 430083

中核武汉核电运行技术股份有限公司,武汉 430000

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海工混凝土 碳化深度 相对湿度 温度 碳化模型

国家自然科学基金面上项目

52078232

2024

工业建筑
中冶建筑研究总院有限公司

工业建筑

CSTPCD
影响因子:0.72
ISSN:1000-8993
年,卷(期):2024.54(7)
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