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SUMMARY:Monte Carlo modeling of asphalt surface wear under studded-tire tr
 affic
DTSTART;VALUE=DATE-TIME:20260417T153000Z
DTEND;VALUE=DATE-TIME:20260417T155000Z
DTSTAMP;VALUE=DATE-TIME:20260412T131219Z
UID:indico-contribution-307@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: Dayani Loaiza Monsalve (Laval University)\nThis stud
 y investigates the evolution of asphalt pavement surface damage caused by 
 studded-tire traffic using a combined experimental and stochastic modeling
  approach. Laboratory tests on six asphalt mixtures were integrated into a
  Monte Carlo simulation framework that models rutting as the cumulative ef
 fect of random stud impacts. The model incorporates parameters describing 
 cumulative damage\, particle detachment energy thresholds\, and material s
 usceptibility to wear. The simulations successfully reproduce the transiti
 on from an initial nonlinear damage phase to a stabilized linear rutting r
 egime observed experimentally. A strong linear relationship was identified
  between the stochastic detachment parameter\, the laboratory rutting rate
 \, and the abrasion resistance of the mixtures. These results confirm the 
 model’s capacity to reproduce measurable material behavior. By linking m
 ixture characteristics to probabilistic descriptions of surface deteriorat
 ion\, the proposed framework provides a predictive tool to support the des
 ign of more wear-resistant pavements in cold-climate regions.\n\nhttps://f
 isindico.uniandes.edu.co/event/23/contributions/307/
LOCATION:Universidad de los Andes
URL:https://fisindico.uniandes.edu.co/event/23/contributions/307/
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