Short-term bearing capacity of foam bitumen recycled mixtures using lime as active filler

被引:0
|
作者
Betti, G. [1 ]
Pinori, U. [1 ]
Marradi, A. [1 ]
Cocurullo, A. [2 ]
Airey, G. [2 ]
Picariello, F. [3 ]
Tebaldi, G. [4 ,5 ]
Jenkins, K. [6 ]
机构
[1] Univ Pisa, Dept Civil & Ind Engn, Pisa, Italy
[2] Univ Nottingham, NTEC, Nottingham, England
[3] Elletipi s r l, Ferrara, Italy
[4] Univ Parma, Dept Civil & Environm Engn & Architecture, Parma, Italy
[5] Univ Florida, Dept Civil & Coastal Engn, Gainesville, FL 32611 USA
[6] Univ Stellenbosch, Dept Civil Engn, Stellenbosch, South Africa
关键词
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Cold recycling is one of the most employed rehabilitation techniques for asphalt pavements and it is becoming more and more important as the reduction of emissions becomes a priority in the reduction of the greenhouse effect. This paper describe the preliminary results of an extensive research program aimed to investigate the effects provided by the use of lime as active filler in cold recycled mixtures. The basic idea was to analyze the bearing performance of pavement layers made with foam bitumen cold recycled mixes with different blends of active fillers (cement, lime). The short term bearing capacity of those recycled mixtures were evaluated with deflectometric tests carried out on a trial section specifically built in Italy, close to Florence. Tests have been undertaken using LWD (Light Weight Deflectometer) and FWD (Fallingweight Deflectometer) immediately after compaction and after 24 hours of curing. The obtained results, even though they need to be confirmed by the analyses of long-term behavior, positively support the use of lime as an active filler.
引用
收藏
页码:213 / 220
页数:8
相关论文
共 50 条
  • [31] Simulate the forecast capacity of a complicated water quality model using the long short-term memory approach
    Liang, Zhongyao
    Zou, Rui
    Chen, Xing
    Ren, Tingyu
    Su, Han
    Liu, Yong
    JOURNAL OF HYDROLOGY, 2020, 581 (581)
  • [32] Machine Learning Prediction of Photovoltaic Hydrogen Production Capacity Using Long Short-Term Memory Model
    He, Qian
    Zhao, Mingbin
    Li, Shujie
    Li, Xuefang
    Wang, Zuoxun
    ENERGIES, 2025, 18 (03)
  • [33] Effect of Short-Term Aging on Low-Temperature Cracking in Asphalt Mixtures Using Mechanical and Thermodynamic Methods
    Hamedi, Gholam Hossein
    Saedi, Dawud
    Ghahremani, Hasan
    JOURNAL OF MATERIALS IN CIVIL ENGINEERING, 2020, 32 (10)
  • [34] State of Health Estimation Based on the Long Short-Term Memory Network Using Incremental Capacity and Transfer Learning
    Yao, Lei
    Wen, Jishu
    Xu, Shiming
    Zheng, Jie
    Hou, Junjian
    Fang, Zhanpeng
    Xiao, Yanqiu
    SENSORS, 2022, 22 (20)
  • [35] Specific Heat Capacity Extraction of Soybean Oil/MXene Nanofluids Using Optimized Long Short-Term Memory
    Qazani, Mohammad Reza Chalak
    Aslfattahi, Navid
    Kulish, Vladimir
    Asadi, Houshyar
    Schmirler, Michal
    Zakarya, Muhammad
    Alizadehsani, Roohallah
    Haleem, Muhammad
    Kadirgama, K.
    IEEE ACCESS, 2024, 12 : 59049 - 59062
  • [36] Short-term effects of hydrated lime and quicklime on the decay of human remains using pig cadavers as human body analogues: Laboratory experiments
    Schotsmans, Eline M. J.
    Denton, John
    Fletcher, Jonathan N.
    Janaway, Robert C.
    Wilson, Andrew S.
    FORENSIC SCIENCE INTERNATIONAL, 2014, 238 : 142.e1 - 142.e10
  • [37] Effects of short-term ageing scenarios on asphalt mixtures' fracture properties using imaging technique and response surface method
    Omranian, Seyed Reza
    Hamzah, Meor Othman
    Yee, Teh Sek
    Mohd Hasan, Mohd Rosli
    INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING, 2020, 21 (11) : 1374 - 1392
  • [38] Laboratory evaluation of the effects of short-term oven aging on asphalt binders in asphalt mixtures using HP-GPC
    Lee, Soon-Jae
    Amirkhanian, Serji N.
    Kim, Kwang W.
    CONSTRUCTION AND BUILDING MATERIALS, 2009, 23 (09) : 3087 - 3093
  • [39] Telemonitoring of Active Inflammatory Bowel Disease Using theApp TECCU:Short-Term Results of a Multicenter Trial of GETECCU
    Aguas, Mariam
    Del Hoyo, Javier
    Vicente, Raquel
    Barreiro-de Acosta, Manuel
    Melcarne, Luigi
    Hernandez-Camba, Alejandro
    Madero, Lucia
    Arroyo, Maria Teresa
    Sicilia, Beatriz
    Chaparro, Maria
    Martin-Arranz, Maria Dolores
    Pajares, Ramon
    Mesonero, Francisco
    Manosa, Miriam
    Martinez, Pilar
    Chacon, Silvia
    Tosca, Joan
    Marin, Sandra
    Sanroman, Luciano
    Calvo, Marta
    Monfort, David
    Saiz, Empar
    Zabana, Yamile
    Guerra, Ivan
    Varela, Pilar
    Baydal, Virginia
    Faubel, Raquel
    Corsino, Pilar
    Porto-Silva, Sol
    Brunet, Eduard
    Gonzalez, Melodi
    Gutierrez, Ana
    Nos, Pilar
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2024, 26
  • [40] Short-Term Load Forecasting in Active Distribution Networks Using Forgetting Factor Adaptive Extended Kalman Filter
    Elmenshawy, Mena S.
    Massoud, Ahmed M.
    IEEE ACCESS, 2023, 11 : 103916 - 103924