Comparisons of Faulting-Based Pavement Performance Prediction Models
المؤلفون المشاركون
Qin, Yu
Wang, Weina
Wang, Di
Li, Xiaofei
Chen, Huiqiang
المصدر
Advances in Materials Science and Engineering
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-09-18
دولة النشر
مصر
عدد الصفحات
9
الملخص EN
Faulting prediction is the core of concrete pavement maintenance and design.
Highway agencies are always faced with the problem of lower accuracy for the prediction which causes costly maintenance.
Although many researchers have developed some performance prediction models, the accuracy of prediction has remained a challenge.
This paper reviews performance prediction models and JPCP faulting models that have been used in past research.
Then three models including multivariate nonlinear regression (MNLR) model, artificial neural network (ANN) model, and Markov Chain (MC) model are tested and compared using a set of actual pavement survey data taken on interstate highway with varying design features, traffic, and climate data.
It is found that MNLR model needs further recalibration, while the ANN model needs more data for training the network.
MC model seems a good tool for pavement performance prediction when the data is limited, but it is based on visual inspections and not explicitly related to quantitative physical parameters.
This paper then suggests that the further direction for developing the performance prediction model is incorporating the advantages and disadvantages of different models to obtain better accuracy.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Weina& Qin, Yu& Li, Xiaofei& Wang, Di& Chen, Huiqiang. 2017. Comparisons of Faulting-Based Pavement Performance Prediction Models. Advances in Materials Science and Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1124547
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Weina…[et al.]. Comparisons of Faulting-Based Pavement Performance Prediction Models. Advances in Materials Science and Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1124547
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Weina& Qin, Yu& Li, Xiaofei& Wang, Di& Chen, Huiqiang. Comparisons of Faulting-Based Pavement Performance Prediction Models. Advances in Materials Science and Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1124547
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1124547
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر