Kocáb Dalibor, Misák Petr, Cikrle Petr
Faculty of Civil Engineering, Brno University of Technology, Veveří 331/95, 602 00 Brno, Czech Republic.
Materials (Basel). 2019 Aug 23;12(17):2705. doi: 10.3390/ma12172705.
During the construction of concrete structures, it is often useful to know compressive strength at an early age. This is an amount of strength required for the safe removal of formwork, also known as stripping strength. It is certainly helpful to determine this strength non-destructively, i.e., without any invasive steps that would damage the structure. Second only to the ultrasonic pulse velocity test, the rebound hammer test is the most common NDT method currently used for this purpose. However, estimating compressive strength using general regression models can often yield inaccurate results. The experiment results show that the compressive strength of any concrete can be estimated using one's own newly created regression model. A traditionally constructed regression model can predict the strength value with 50% reliability, or when two-sided confidence bands are used, with 95% reliability. However, civil engineers usually work with the so-called characteristic value defined as a 5% quantile. Therefore, it appears suitable to adjust conventional methods in order to achieve a regression model with 95% one-sided reliability. This paper describes a simple construction of such a characteristic curve. The results show that the characteristic curve created for the concrete in question could be a useful tool even outside of practical applications.
在混凝土结构施工过程中,了解早期抗压强度通常很有用。这是安全拆除模板所需的强度量,也称为拆模强度。无损确定该强度当然很有帮助,即无需采取任何会损坏结构的侵入性步骤。回弹锤试验仅次于超声脉冲速度试验,是目前为此目的最常用的无损检测方法。然而,使用一般回归模型估算抗压强度往往会得出不准确的结果。实验结果表明,任何混凝土的抗压强度都可以使用自己新创建的回归模型来估算。传统构建的回归模型可以以50%的可靠性预测强度值,或者在使用双侧置信区间时,以95%的可靠性预测。然而,土木工程师通常使用定义为5%分位数的所谓特征值。因此,调整传统方法以获得具有95%单侧可靠性的回归模型似乎是合适的。本文描述了这种特征曲线的简单构建方法。结果表明,为所讨论的混凝土创建的特征曲线即使在实际应用之外也可能是一个有用的工具。