Effects of Steel Wool Distribution on Properties of Porous Asphalt Concrete-Reference-Cited by-同舟云学术

Effects of Steel Wool Distribution on Properties of Porous Asphalt Concrete

Published:2014-02 Issue: Volume:599 Page:150-154
ISSN:1662-9795
Container-title:Key Engineering Materials
language:
Short-container-title:KEM

Author:

Liu Quan Tao¹,Wu Shao Peng¹

Affiliation:

1. Wuhan University of Technology

Abstract

An unravelling porous asphalt concrete was developed by adding steel wool and heating it with induction energy. The purpose of this paper is to examine the effects of the steel wool distribution on the properties of this unravelling porous asphalt concrete. The mixture was mixed for 10 min, 12 min, 15 min or 20 min respectively, and then samples were prepared with a gyratory compactor. The steel wool distribution at different mixing time was compared with CT scanning analysis. The electrical resistance, indirect tensile strength and induction heating speed of samples with different mixing time were also studied. It was found that a better distribution of steel wool in porous asphalt concrete increased its indirect tensile strength, but decreased its electrical conductivity and induction heating speed. 15 min mixing is sufficient to disperse steel wool to a homogenous distribution.

Publisher

Trans Tech Publications, Ltd.

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

https://www.scientific.net/KEM.599.150.pdf

Reference9 articles.

1. J.H. Swart, Experiences with porous asphalt in the Netherlands. Ministry of Transportation, Public Works and Water Management, Proceedings of the European Conference on Porous Asphalt, Madrid Spain, Avon Books, New York, (1997).

2. L.T. Mo, Damage development in the adhesive zone and mastic of porous asphalt concrete, PhD thesis, Delft University of Technology, the Netherlands, (2010).

3. R.S. McDaniel, W. Thornton, Field Evaluation of a Porous Friction Course for Noise Control, TRB 2005 Annual Meeting CD-ROM, Transportation Research Board, National Research Council, Washington DC, (2005).

4. P.E. Bolzan, J.C. Nicholls, G.A. Huber, Searching for Superior Performing Porous Asphalt Wearing Courses, TRB 2001 Annual Meeting CD-ROM, Transportation Research Board, National Research Council, Washington DC, (2001).

5. Q. Liu, E. Schlangen, M. van de Ven, A. García, Induction heating of electrically conductive porous asphalt concrete, Constr Build Mater 24(7) (2010) 1207-1213.

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Utilising machine learning algorithms to predict the Marshall characteristics of asphalt pavement layers;Innovative Infrastructure Solutions;2024-09-14

2. Estimating the Bitumen Ratio to be Used in Highway Asphalt Concrete by Machine Learning;The Baltic Journal of Road and Bridge Engineering;2024-06-28

3. Stiffness Moduli Modelling and Prediction in Four-Point Bending of Asphalt Mixtures: A Machine Learning-Based Framework;CivilEng;2023-10-16

4. Novel approaches to predict the Marshall parameters of basalt fiber asphalt concrete;Construction and Building Materials;2023-10

5. Prediction of Marshall Stability and Marshall Flow of Asphalt Pavements Using Supervised Machine Learning Algorithms;Symmetry;2022-11-05