A Method for Finding the Optimal Parameters of Asphalt Pavement through Random Cumulative Damage

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A Method for Finding the Optimal Parameters of Asphalt Pavement through Random Cumulative Damage | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 27 February 2025 V1 Latest version Share on A Method for Finding the Optimal Parameters of Asphalt Pavement through Random Cumulative Damage Authors : Zichao Cheng , Yufeng Shi 0000-0001-8784-8239 [email protected] , Fuguo Liu , and Xu Guo Authors Info & Affiliations https://doi.org/10.22541/au.174064335.50966789/v1 165 views 93 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Fatigue damage to asphalt roads under cyclic loads affects traffic and regional development. The deterministic cumulative damage theory is an important tool for studying material fatigue damage. However, owing to the distribution characteristics of asphalt materials and the randomness in the fatigue damage process, the study of random damage is particularly important. Based on the cumulative damage theory of asphalt materials under repeated loads, the random distribution characteristics of asphalt pavement materials and the randomness of actual traffic loads were used to determine the optimal pavement life of asphalt pavement materials under different conditions. A damage model was created based on the probability density functions for various critical damage values and rates. They derived equations for the evolution of the expected fatigue damage and its variance under these conditions, as follows: When the traffic load follows a Poisson distribution, comparing the variability of fatigue damage under different fatigue life distributions to traffic load expectations reveals that a log-normal distribution with similar expected values and variances is suitable for lighter traffic, whereas a normal distribution with a significantly higher expected value than the variance is suitable for heavier traffic. Under the same cyclic fatigue load, the fatigue damage to the asphalt material can vary widely from the expected value. Traditional deterministic damage theories account for only part of this variation, explaining the diversity of parameters in engineering models. The study found that a critical damage value below 0.8 indicates that the material can handle less fatigue load, with little difference between 0.8 and 1. For a better road economy and longer fatigue life, asphalt should aim for a critical damage value of approximately 0.8. In addition, when the damage growth rate was close to 1, the asphalt fatigue damage increased at a slower rate. Finally, the theoretical pavement life calculated in this study was compared with the average maintenance years of actual asphalt pavements using an equivalent formula for traffic load and service life. The study concluded that the theory aligns with reality and that the optimal asphalt pavement service life derived from the random cumulative fatigue damage theory significantly exceeds the actual data. Supplementary Material File (a method for finding the optimal parameters of asphalt pavement through random cumulative damage.docx) Download 4.65 MB Information & Authors Information Version history V1 Version 1 27 February 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords damage accumulation fatigue damage in paving asphaltic materials probability models random fatigue Authors Affiliations Zichao Cheng Shandong University Zhongtai Securities Institute for Financial Studies View all articles by this author Yufeng Shi 0000-0001-8784-8239 [email protected] Shandong University View all articles by this author Fuguo Liu Changji University View all articles by this author Xu Guo Shandong University View all articles by this author Metrics & Citations Metrics Article Usage 165 views 93 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Zichao Cheng, Yufeng Shi, Fuguo Liu, et al. A Method for Finding the Optimal Parameters of Asphalt Pavement through Random Cumulative Damage. Authorea . 27 February 2025. DOI: https://doi.org/10.22541/au.174064335.50966789/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. 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