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
  • [21] Cost and Eco-Effective Cold In-Place Recycled Mixtures with Foamed Bitumen During the Reconstruction of a Road Section Under Variable Load Bearing Capacity of the Subgrade
    Chomicz-Kowalska, Anna
    Stepien, Justyna
    WORLD MULTIDISCIPLINARY CIVIL ENGINEERING-ARCHITECTURE-URBAN PLANNING SYMPOSIUM 2016, WMCAUS 2016, 2016, 161 : 980 - 989
  • [22] Short-Term Performance Characterization and Fatigue Damage Prediction of Asphalt Mixtures Containing Polymer-Modified Binders and Recycled Plastics
    Yin, Fan
    West, Randy
    Powell, Buzz
    DuBois, C. J.
    TRANSPORTATION RESEARCH RECORD, 2023,
  • [23] Using short-term bioassays to evaluate the endocrine disrupting capacity of the pesticides linuron and fenoxycarb
    Spirhanzlova, Petra
    De Groef, Bert
    Nicholson, Freda E.
    Grommen, Sylvia V. H.
    Marras, Giulia
    Sebillot, Anthony
    Demeneix, Barbara A.
    Pallud-Mothre, Sophie
    Lemkine, Gregory F.
    Tindall, Andrew J.
    Du Pasquier, David
    COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY C-TOXICOLOGY & PHARMACOLOGY, 2017, 200 : 52 - 58
  • [24] Rolling Bearing Initial Fault Detection Using Long Short-Term Memory Recurrent Network
    Shi, Huaitao
    Guo, Lei
    Tan, Shuai
    Bai, Xiaotian
    IEEE ACCESS, 2019, 7 : 171559 - 171569
  • [25] Characterization of Lime-Treated Bentonite Using Thermogravimetric Analysis for Assessing its Short-Term Strength Behaviour
    Bandipally S.
    Cherian C.
    Arnepalli D.N.
    Indian Geotechnical Journal, 2018, 48 (3) : 393 - 404
  • [26] Short-term and long-term reproducibility of lung tumor position using active breathing control (ABC)
    Koshani, Rojano
    Balter, James M.
    Hayman, James A.
    Henning, George T.
    van Herk, Marcel
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2006, 65 (05): : 1553 - 1559
  • [27] Effects of Short-Term Aging on the Compactibility and Volumetric Properties of Asphalt Mixtures Using the Response Surface Method
    Omranian, Seyed Reza
    Hamzah, Meor Othman
    Pipintakos, Georgios
    Van den Bergh, Wim
    Vuye, Cedric
    Hasan, Mohd Rosli Mohd
    SUSTAINABILITY, 2020, 12 (15)
  • [28] Short-Term Active Power Forecasting of a Photovoltaic Power Plant using an Artificial Neural Network
    Romero, Andres F.
    Quilumba, Franklin L.
    Arcos, Hugo N.
    2017 IEEE SECOND ECUADOR TECHNICAL CHAPTERS MEETING (ETCM), 2017,
  • [29] Prediction of time-dependent bearing capacity of concrete pile in cohesive soil using optimized relevance vector machine and long short-term memory models
    Khatti, Jitendra
    Khanmohammadi, Mohammadreza
    Fissha, Yewuhalashet
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [30] Short-term electrostimulation enhancing neural repair in vitro using large charge capacity nanostructured electrodes
    Lichtenstein, M. P.
    Perez, E.
    Ballesteros, L.
    Sunol, C.
    Casan-Pastor, N.
    APPLIED MATERIALS TODAY, 2017, 6 : 29 - 43