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Representative Application-based Temperatures for Durability Testing

机译:代表性的基于应用的温度进行耐久性测试

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Like most chemical reactions, durability tests of polymers are generally accelerated by running them at elevated temperatures. The challenge is to determine the right testing temperature to correctly simulate a much longer service life at lower temperatures. Whereas the maximum value of the testing temperature is limited by the highest temperature at which the failure mechanism of the tested material is still similar to the mechanism in reality, i. e. at service life temperatures, the issue of using test results obtained at elevated temperatures to predict material behaviour at much lower temperatures over significantly longer periods of time has not been fully addressed. For constant material temperatures (interior concrete elements) this may not be all that difficult. For exterior concrete elements, exposed to direct sunlight, rain, snow and hail, this issue gets significantly more complicated. Various studies have shown that the mean annual temperature (MAT) can not be used as a representative temperature for a correct prediction. Doing so would only be acceptable if one were to assume that the influence of the daily, monthly and annual temperature deviations from the MAT have no influence on the long-term behaviour of a material. This assumption, however, would stand in stark contradiction to the concept of accelerating a durability test by running it at increased temperatures. This paper describes a procedure for determining a representative temperature from known temperature distributions for a whole year for different concrete member sizes and different temperature regions. A simplified equation is presented if no detailed temperature data is available. Sample calculations are given for different applications.
机译:像大多数化学反应一样,通常通过在高温下运行来加快聚合物的耐久性测试。挑战在于确定正确的测试温度,以正确模拟在较低温度下更长的使用寿命。而测试温度的最大值受到最高温度的限制,在该温度下,被测材料的破坏机理仍与现实中的机理相似。 e。在使用寿命温度下,尚未完全解决使用在高温下获得的测试结果来预测材料在低得多的温度下长时间较长的行为的问题。对于恒定的材料温度(内部混凝土元素),这可能并不那么困难。对于暴露在直射阳光下,雨天,雪天和冰雹下的外部混凝土构件,此问题变得更加复杂。各种研究表明,不能将年平均温度(MAT)用作正确预测的代表温度。仅当假设来自MAT的每日,每月和每年温度偏差的影响对材料的长期性能没有影响时,这样做才是可以接受的。但是,该假设与通过在升高的温度下运行来加速耐久性测试的概念形成了鲜明的矛盾。本文介绍了根据不同混凝土构件尺寸和不同温度区域的全年已知温度分布确定代表性温度的过程。如果没有详细的温度数据可用,则给出一个简化的方程式。给出了针对不同应用的示例计算。

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