矿渣聚丙烯纤维混凝土超声波脉冲速率预测模型
Prediction Model for Ultrasonic Pulse Velocity(UPV) in Polypropylene Fiber Reinforced Concrete Containing Slag
作者：张慧莉(西北农林科技大学 水利与建筑工程学院，陕西 杨凌712100)；田堪良(西北农林科技大学 水利与建筑工程学院，陕西 杨凌712100)
Author：Zhang Huili(College of Water Resources and Architectural Eng.,Northwest Agricultural and Forestry Univ.,Yangling 712100,China)；Tian Kanliang(College of Water Resources and Architectural Eng.,Northwest Agricultural and Forestry Univ.,Yangling 712100,China)
收稿日期：2009-07-12 年卷（期）页码：2010,42(1):20-24
期刊名称：工程科学与技术
Journal Name：Advanced Engineering Sciences
关键字：超声波速率；混凝土；复合材料；抗压强度；无损检测
Key words：ultrasonic velocity;concrete;composite materials;compressive strength;NDT
基金项目：国家科技支撑计划资助项目（2006BAD11B03）;陕西省自然科学基金资助项目（SJ08E111）;西北农林科技大学归国人才基金资助项目（2007-011404）
中文摘要
将不同掺量的聚丙烯纤维、矿渣、聚羧酸系超塑化剂掺入混凝土中，在测试和分析超声波脉冲速率的基础上，假设混凝土是由空白混凝土、聚丙烯纤维、矿渣组成的复合材料，建立超声波脉冲速率的预测模型，利用超声波脉冲速率与抗压强度之间的关系，进一步预测混凝土抗压强度。结果表明,超声波脉冲速率随着聚丙烯纤维掺量增加而降低，随着矿渣含量的增加而增大，聚羧酸系超塑化剂掺量对超声波脉冲速率影响不大；相对误差分析结果表明，所建立的超声波脉冲速率预测模型是可靠的，利用超声波速率与抗压强度之间的关系，可用于实际工程中矿渣聚丙烯纤维混凝土的无损检测和强度预测。
英文摘要
A mathematical model was described for predicting ultrasonic pulse velocity of polypropylene fiber reinforced concrete containing slag. The specimen compositions varied widely in polypropylene fibers content, slag content and the dosage of polycarboxylate acid-based superplasticizer.A relationship between compressive strength and ultrasonic pulse velocity was determined. Experimental studies were carried out to evaluate the model. The experimantal results presented that the concrete compositions influence the ultrasonic pulse velocity significantly. Ultrasonic pulse velocity decreases by increasing polypropylene fibers. The more slag incorporation, the larger ultrasonic pulse velocity is obtained. Changes of dosage of polycarboxylate acid-based superplasticizer have little influence on the pulse velocity for various W/Cs. The relative error of ultrasonic pulse velocity in polypropylene fibers reinforced concrete containing slag within ±1% showed the reliability of the prediction model for concrete containing polypropylene fibers and slag. The prediction model was an useful and relatively inexpensive NDT method in situ test for assuring the compressive strength of polypropylene fiber reinforced concrete containing slag placed in a structure.
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