|
|
|
|
|
Jiale Li, Jiayin Guo, Bo Li and Lingxin Meng
The deep learning method has been widely used in the engineering field. The availability of the training dataset is one of the most important limitations of the deep learning method. Accurate prediction of pavement performance plays a vital role in road ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tiago Tamagusko and Adelino Ferreira
Timely maintenance of road pavements is crucial to ensure optimal performance. The accurate prediction of trends in pavement defects enables more efficient allocation of funds, leading to a safer, higher-quality road network. This article systematically ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jingnan Zhao, Hao Wang, Pan Lu and Jiaqi Chen
Pavement distresses are induced by mechanistic responses in pavement structure subjected to dynamic loads of moving vehicles. Pavement surface evenness deteriorates as pavement distresses propagate, which results in dynamic axle loads and faster pavement...
ver más
|
|
|
|
|
|
|
|
|
|
|
Babitha Philip and Hamad Al Jassmi
In this study, Bayesian Belief Networks (BBN) are proposed to model the relationships between factors contributing to pavement deterioration, where their values are probabilistically estimated based on their interdependencies. Such probabilistic inferenc...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yijun Liao and Richard L. Wood
Perishable surveying, mapping, and post-disaster damage data typically require efficient and rapid field collection techniques. Such datasets permit highly detailed site investigation and characterization of civil infrastructure systems. One of the more ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Akhilesh Nautiyal,Sunil Sharma
This paper presents a scientific approach to forecast Remaining Service Life (RSL) of low volume rural roads. A case study of twenty six roads constructed under Pradhan Mantry Gram Sadak Yojna in Hamirpur district of Himachal Pradesh state in India has b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hoang-Long Nguyen, Binh Thai Pham, Le Hoang Son, Nguyen Trung Thang, Hai-Bang Ly, Tien-Thinh Le, Lanh Si Ho, Thanh-Hai Le and Dieu Tien Bui
The International Roughness Index (IRI) is the one of the most important roughness indexes to quantify road surface roughness. In this paper, we propose a new hybrid approach between adaptive network based fuzzy inference system (ANFIS) and various meta-...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sérgio Pacífico Soncim, Igor Castro Sá de Oliveira, Felipe Brandão Santos
Pág. e35626
The objective of this paper was to develop fuzzy models for asphalt pavement performance. The fuzzy logic can convert linguistic or qualitative variables into quantitative values. This feature makes it possible to gather experts? experience about the kno...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sérgio Pacífico Soncim, Igor Castro Sá de Oliveira, Felipe Brandão Santos (Author)
Pág. e35626
The objective of this paper was to develop fuzzy models for asphalt pavement performance. The fuzzy logic can convert linguistic or qualitative variables into quantitative values. This feature makes possible the gathering of experts? experience about the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ufuk Kirbas
Today, authorities responsible for the operation of highways aim to provide comfort to road users as well as safety while driving. While driving, the most important component that determines comfort for road users is the pavement. The relative effects of...
ver más
|
|
|
|
|
|