ارایه مدل پیش‌بینی شاخص وضعیت روسازی با استفاده از مقادیر شاخص بین‌المللی ناهمواری مطالعه موردی آزادراه‌های منتخب ایران

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشکده مهندسی عمران، دانشگاه آزاد اسلامی واحد تهران جنوب، تهران، ایران.

2 دانشکده مهندسی عمران، دانشگاه علم و صنعت ایران

3 گروه مهندسی عمران، دانشکده مهندسی، دانشگاه فردوسی مشهد، مشهد، ایران

4 گروه مهندسی عمران، دانشکده مهندسی، دانشگاه فردوسی مشهد، مشهد، ایران.

چکیده

یکی از مؤلفه‌های مهم در یک سیستم مدیریت روسازی و برنامه­ریزی منابع مالی جهت ترمیم و نگهداری آن­ها، ارزیابی قابل اعتماد و دقیق از وضع موجود شبکه روسازی است که شامل محاسبه پارامترهای خدمت رسانی مانند شاخص بین‌المللی ناهمواری (IRI) و شاخص وضعیت روسازی (PCI در طول دوره عملکرد روسازی می‌باشد. محاسبه میدانی شاخص PCI و تا حدودی شاخص IRI کمی دشوار و پیچیده است. لذا استفاده از مدل­های عددی جهت تخمین این پارامترها ضرورت دارد. در این مطالعه، مقادیر اندازه‌گیری شده شاخص‌های PCI و IRI مربوط به پنج آزادراه مختلف در ایران مورد استفاده قرار گرفت و دقت ارزیابی مدل­های مختلف ریاضی ارائه شده در نقاط مختلف جهان بر روی آن­ها بررسی گردید. سپس برای پیش بینی داده­های PCI با استفاده از مقادیر ورودی IRI، یک مدل ریاضی جدید معرفی گردید. نتایج بررسی‌ دقت پیش بینی مدل‌ها نشان داد برای تمامی آزادراه­های مورد مطالعه، مدل پیشنهادی از تمام مدل­هایی که تا کنون توسط محققین مختلف در دنیا ارائه شده‌است عملکرد بهتری از خود نشان داد. استفاده از این مدل می­تواند پیش بینی پارامتر PCI با استفاده از مقادیر ورودی شاخص IRI را برای شبکه آزادراهی کشور میسر سازد و مدیریت روسازی آزادراه­ها و برنامه ریزی عملیات ترمیم و نگهداری آن‌ها را با هزینه کم­تری تسهیل نماید.

کلیدواژه‌ها


عنوان مقاله [English]

A Prediction Model for the Pavement Condition Index Using the International Roughness Index: A Case Study of 5 Selected Freeways in Iran.

نویسندگان [English]

  • Seyed Azim Hosseini 1
  • Masoud Sabaee 1
  • Seyed Amir Saadatjoo 2
  • Saeed Fatemi 3
  • Seyed Ali Ziaee 4
1 Department of Civil Engineering, Faculty of Engineering, Qom University of Azad university, south branch ,Tehran,, Iran
2 Faculty of Civil Engineering, Iran University of Science and Technology
3 Department of Civil Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
4 Department of Civil Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
چکیده [English]

Reliable and accurate assessment of the condition of the pavement network such as International Ruggedness Index (IRI) and pavement condition index (PCI) is one of the most important components in a pavement management system. This issue is very effective in managing and planning financial resources to maintain road pavement. However, calculating PCI and IRI parameters are difficult and complicated. Therefore, it is necessary to use numerical models to estimate these parameters. In this study, PCI and IRI data related to five different freeways in Iran were used and different mathematical models were investigated. Afterwards, a model for estimating PCI data from IRI was introduced, which had an acceptable correlation between these data in all the freeways studied and Showed better performance than out of all the models presented by various researchers in the world which mentioned in this article. The use of this model can make it possible to estimate the PCI parameter for the freeway networks, and as a result, the management of freeway pavements and planning for maintenance operations will be facilitated at a lower cost.

کلیدواژه‌ها [English]

  • Pavement Condition Index
  • International Roughness Index
  • Pavement Management
  • Repair and Maintenance
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