مشخصات مقاله | |
ترجمه عنوان مقاله | روش های تحلیلی برای تعیین اثربخشی آب بندی دوغاب در اقلیم مرطوب/یخ زده با استفاده از سیستم های اطلاعات مدیریت روسازی |
عنوان انگلیسی مقاله | Analytical methods to determine effectiveness of slurry seals in wet/freeze climate using pavement management information systems |
انتشار | مقاله سال 2022 |
تعداد صفحات مقاله انگلیسی | 20 صفحه |
هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
پایگاه داده | نشریه تیلور و فرانسیس – Taylor & Francis |
نوع نگارش مقاله | مقاله پژوهشی (Research article) |
مقاله بیس | این مقاله بیس میباشد |
نمایه (index) | JCR – Master Journal List – Scopus |
نوع مقاله |
ISI |
فرمت مقاله انگلیسی | |
ایمپکت فاکتور(IF) |
4.148 در سال 2020 |
شاخص H_index | 53 در سال 2022 |
شاخص SJR | 1.114 در سال 2020 |
شناسه ISSN | 2164-7402 |
شاخص Quartile (چارک) | Q1 در سال 2020 |
فرضیه | ندارد |
مدل مفهومی | دارد |
پرسشنامه | ندارد |
متغیر | دارد |
رفرنس | دارد |
رشته های مرتبط | عمران |
گرایش های مرتبط | سازه – مدیریت ساخت |
نوع ارائه مقاله |
ژورنال |
مجله / کنفرانس | مصالح راه و طراحی روسازی – Road Materials and Pavement Design |
دانشگاه | Civil, Construction, and Environmental Engineering, Iowa State University, USA |
کلمات کلیدی | سیستم اطلاعات مدیریت روسازی (PMIS) – حفظ روسازی – آب بندی دوغاب – عملکرد روسازی |
کلمات کلیدی انگلیسی | pavement management information system (PMIS) – pavement preservation – slurry seals – pavement performance |
شناسه دیجیتال – doi | https://doi.org/10.1080/14680629.2020.1868327 |
کد محصول | e16598 |
وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
فهرست مطالب مقاله: |
Abstract Introduction and background Materials and methods Methods Results Service life extensions Conclusions Acknowledgements Funding References |
بخشی از متن مقاله: |
Abstract With increasing economic pressures worldwide, the amount of money spent on pavement preservation needs to become more effectively utilised. Historically, the Long-Term Pavement Performance (LTPP) study has led to data-driven performance expectations for treatments. Pavement management systems (PMS) allowed many to form analytical methods to evaluate pavement performance, from trend fitting to benefit analysis. Taking these methods and applying them to the Iowa Department of Transportation’s (DOT) pavement management information system (PMIS) database can determine preservation utility as well as provide expectations of pavement treatments. Thirteen slurry seal projects across the wet/freeze climate of Iowa, U.S.A., were analysed to determine the service life extensions and yearly benefit for their pavement condition, rutting, riding, and cracking indices. This study aims to provide a framework for future analysis of more preservation treatments and other PMS databases. Understanding local performance of various preservation methods leads to better pavement management and economically sound decisions. Introduction and background With increasing economic pressures worldwide, the amount of money spent on pavement preservation needs to become more effective and appropriately utilised. To properly allocate spending on pavement preservation, two general approaches utilising a pavement management system (PMS) can be used. The first approach involves prioritising various roads within a network, typically based on the roadway type (arterial, collector, residential, etc), current pavement condition, annual average daily traffic (AADT), and other factors important to the involved agency. However, the second approach involves the understanding of preservation performance based on actual treatments applied with local means and materials. Analysing past performance data and identifying trends provides the ability to better quantify the effectiveness of preservation treatments. The objective of this study is to evaluate the performance of slurry sealing on Iowa roadways, a wet/freeze climate, to better understand their effectiveness as a pavement preservation treatment. Four pavement performance indices are evaluated and compared using reflected, logistic, sigmoidal (RLS) curves. Results All projects were analysed, and a best fit function was fitted to the data using an RLS function to develop a pavement performance curve, the index benefit throughout each relative year, and the service life extensions for PCI and the rutting, riding, and cracking indices was evaluated for the thirteen slurry seal projects. Each ‘Do Nothing’ and ‘Observed Performance’ trends for all four indices of all thirteen projects were measured and life extensions were evaluated. Statistical data from such small sample sets only provide limited results; however, observed trends over multiple projects help to develop performance expected trends as performance of more treatments becomes available. |