混凝土水中耐磨性之影響因子與預測式

INFLUENCING FACTORS AND PREDICTION MODEL FOR ABRASION RESISTANCE OF UNDERWATER CONCRETE

10.6652/JoCICHE.201905_31(3).0007

劉玉雯(Yu-Wen Liu)；陳俊良(Chun-Lang Chen)

混凝土 ； 耐磨性 ； 磨耗因子 ； 有效抗壓強度 ； concrete ； abrasion resistance ； abrasion factor ； effective compressive strength

中國土木水利工程學刊

31卷3期（2019 / 05 / 01）

279 - 288

繁體中文

本文利用一系列統計分析方法探討影響混凝土水中耐磨性之主要材料參數，並建立含有爐石粉、飛灰與矽灰等材料混凝土之水中磨損深度預測式。由相關性、顯著性與徑路分析三種研究方法可獲得，影響混凝土水中耐磨性之主要材料參數為水膠比與抗壓強度。另以卜作嵐材料之磨耗因子修正抗壓強度為有效抗壓強度，再利用二元Logistic迴歸模式所得之預測機率值p，分類上下界磨損深度區域。最後由上、下界磨損深度區域之對數曲線迴歸式，代入有效抗壓強度值(f_(ce))，可得上界磨損深度區域磨損深度之預測值D_(uw) = -1.985 Ln(f_(ce))+10.4；以及下界磨損深度區域之預測值D_(dw)=-1.014 Ln(f_(ce))+ 4.94。

This research applies a series of statistic analytical method to discuss the main material parameter which influences the underwater abrasion resistance of concrete, and establish the predicted model of the abrasion depth of concrete which contains slag, fly ash, silica fume etc. First, the correlation, prominent and path analysis were used to get the main material parameter which influences the abrasion resistance of concrete to be the water binder ratio and compressive strength. Besides, the abrasion factor of pozzolanic material were used to revise the compressive strength to be the effective compressive strength, and then use the predicted property p value generated by Dichotomous Logistic Regression model to separate the upper and lower abrasion depth areas. Finally, the logarithmic curve regression equation of the upper and lower boundary wear depth regions is substituted for the effective compressive strength value (f_(ce)), and the predicted abrasion depth value of the upper area can be obtained, D_(uw) =-1.985 Ln(f_(ce)) + 10.4, and the predicted abrasion depth value of the lower area is D_(dw) = -1.014 Ln(f_(ce)) + 4.94.

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