A new mathematical model for elastic modulus prediction in mortar and concrete

IF 6.7 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Qiaorong Sun, Rishi Gupta, Zhenyang Zhu, Ashutosh Sharma, Sheng Qiang
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引用次数: 0

Abstract

Tests were conducted on cylindrical mortar samples (10 cm in diameter and 20 cm in height) with a water-to-cement ratio of 0.4, cured at three constant temperatures (8 °C, 22 °C, and 40 °C) as well as under variable temperature conditions. Experimental results reveal that the rate of the dynamic elastic modulus development in the tested cement mortar blocks is solely influenced by the current temperature and the current dynamic elastic modulus. Based on this observation, an implicit relationship was proposed to characterize the rate of dynamic elastic modulus development, incorporating these two factors. Model parameters were determined using a combination of exhaustive search, least squares optimization, and iterative solution methods. Validation of the proposed model, achieved by comparing its predictions with experimental data, demonstrated the deviation of less than ±5 %. The results indicate that the linear temperature-based model provides a better fit than the Arrhenius function within the range of 8 °C–40 °C, with maximum relative errors of 3.41 % and 3.89 %, respectively. The model shows excellent agreement with the experimental data, highlighting its potential for accurately predicting the dynamic elastic modulus of cement mortar. Additionally, the proposed model has been further validated for its application and accuracy in estimating the elastic modulus of concrete with varying water-to-cement ratios (w/c), cement types, and curing temperatures exceeding 40 °C. These results demonstrate that the proposed model achieves high accuracy, with over 95 % precision.
一种新的砂浆和混凝土弹性模量预测数学模型
试验采用直径10 cm、高20 cm、水灰比0.4的圆柱形砂浆试件,在8℃、22℃、40℃三种恒温和变温条件下进行养护。试验结果表明,水泥砂浆砌块动态弹性模量的发展速率仅受当前温度和当前动态弹性模量的影响。基于这一观察,提出了一种隐含关系来表征动态弹性模量的发展速度,将这两个因素结合起来。采用穷举搜索、最小二乘优化和迭代求解相结合的方法确定模型参数。通过将预测结果与实验数据进行比较,验证了所提出的模型,结果表明偏差小于±5%。结果表明,在8°C ~ 40°C范围内,基于温度的线性模型的拟合效果优于Arrhenius函数,最大相对误差分别为3.41%和3.89%。该模型与试验数据吻合良好,具有准确预测水泥砂浆动态弹性模量的潜力。此外,所提出的模型在估算不同水灰比(w/c)、水泥类型和养护温度超过40°c的混凝土弹性模量方面的应用和准确性已得到进一步验证。结果表明,该模型具有较高的精度,精度在95%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of building engineering
Journal of building engineering Engineering-Civil and Structural Engineering
CiteScore
10.00
自引率
12.50%
发文量
1901
审稿时长
35 days
期刊介绍: The Journal of Building Engineering is an interdisciplinary journal that covers all aspects of science and technology concerned with the whole life cycle of the built environment; from the design phase through to construction, operation, performance, maintenance and its deterioration.
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