Asphalt concrete stability estimation from non-destructive test methods with artificial neural networks

被引：1
|
作者：
Serdal Terzi
Mustafa Karaşahin
Süleyman Gökova
Mustafa Tahta
Nihat Morova
İsmail Uzun
机构：
[1] Suleyman Demirel University,Construction Education Department, Faculty of Technical Education
[2] İstanbul University,Civil Engineering Department, Faculty of Engineering
[3] Suleyman Demirel University,Graduate School of Natural and Applied Sciences
[4] Suleyman Demirel University,Manufacturing Engineering Department, Faculty of Technology
来源：
Neural Computing and Applications | 2013年 / 23卷
关键词：
Marshall stability; Light weight deflectometer; Nuclear Gauge; Non-destructive testing;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The core drilling method has often been used to determine the current status of asphalt concretes. However, this method is destructive so causes damage to the asphalt concretes. In addition, this method causes localized points of weakness in the asphalt concretes and is time consuming. In recent years, non-destructive testing methods have been used for pavement thickness estimation, determination of elasticity modulus, and density and moisture measurements. In this study, the above-mentioned non-destructive and destructive tests with data obtained by applying the Marshall stability to the same asphalt concretes were estimated using the artificial neural networks approach.
引用
收藏
页码：989 / 997
页数：8
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