Results 61 to 70 of about 424 (172)

A streamlined approach for probabilistic pavement life‐cycle performance prediction via physics‐informed neural networks

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 28, Page 5136-5152, 28 November 2025.
Abstract Pavement life cycle management (LCM) is essential for assessing the long‐term environmental and economic impacts of roadway infrastructure by means of pavement life cycle assessment (LCA) and life cycle cost analysis (LCCA). However, pavement LCA and LCCA studies frequently overlook the use phase due to the limited availability of performance ...
Jin Li, Wentao He, Huailei Cheng, Haopeng Wang   +3 more
wiley   +1 more source

Application of Vehicle Mounted Accelerometers to Measure Pavement Roughness

International Journal of Distributed Sensor Networks, 2016
To enhance the efficiency of pavement roughness measurement and reduce the cost, an integrated and wireless transfer based measuring system was developed.
Yuchuan Du, Chenglong Liu, Difei Wu, Siyu Li   +3 more
doaj   +1 more source

Análise da alteração no valor limite do IRI na qualidade funcional em pistas de pouso e decolagem de aeroportos brasileiros

Revista Tecnologia, 2019
A irregularidade longitudinal de pavimentos rodoviários e aeroportuários, caracterizada no Brasil pelo IRI – International Roughness Index (Índice de Irregularidade Internacional), é um dos índices que permite a avaliação da serventia dos pavimentos ...
Lucas Cavalcante de Almeida, Francisco Heber Lacerda de Oliveira, José Wémenson Rabelo Chaves   +2 more
doaj   +1 more source

Functional Nanosensor‐Integrated System Based on Molecularly Imprinted Quartz Crystal Microbalance for Rapid In Situ Detection of 3‐Chloro‐1,2‐Propanediol in Paper‐Based Food Contact Materials

Aggregate, Volume 6, Issue 10, October 2025.
This study developed a rapid, in situ, and derivatization‐free detection system for 3‐MCPD in paper‐based food contact materials, based on molecular imprinting and quartz crystal microbalance sensing technologies, achieving a detection limit of 0.006 µM and reducing analysis time by 75% compared to traditional methods.
Jinwei Zhao, Yi Xie, Haodong Guo, Jiali Pu, Qiuping Wu, Shuangquan Yao, Chen Liang, Shiming Zhang, Baojie Liu, Caoxing Huang, Chengrong Qin   +10 more
wiley   +1 more source

Fuel-Efficient Road Classification Methodology for Sustainable Open Pit Mining

Applied Sciences
The roughness of haul roads significantly impacts fuel consumption in open-pit coal mine trucks, yet there is currently a lack of quantitative road classification methods in this regard.
Boyu Luan, Wei Zhou, Zhogchen Ao, Zhihui Han, Yufeng Xiao   +4 more
doaj   +1 more source

Health Benefits and Food Applications of Bioactive Constituents From Different Medicinal Parts (Bark, Leaf, and Fruit) of Lycium barbarum

Food Science &Nutrition, Volume 13, Issue 10, October 2025.
The bioactive ingredients, pharmacological effects, food applications, and safety of Lycium barbarum. ABSTRACT Lycium barbarum is a plant that is a member of the Solanaceae family. Different tissues and organs from this plant are widely used in traditional Chinese medicine because of their abundant functional ingredients.
Mengfan Peng, Caixia Li, Xue Yang, Tingting Ye, Baosong Liu   +4 more
wiley   +1 more source

Evaluation of Connected Vehicle Pavement Roughness Data for Statewide Needs Assessment

Infrastructures
Many agencies use pavement condition assessments such as the Pavement Surface Evaluation and Rating (PASER) and Pavement Condition Index (PCI) to develop localized pavement management programs.
Andrew Thompson, Jairaj Desai, Darcy M. Bullock   +2 more
doaj   +1 more source

Machine learning models for predicting the International Roughness Index of asphalt concrete overlays on Portland cement concrete pavements

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 21, Page 3385-3402, 29 August 2025.
ABSTRACT Although estimating the International Roughness Index (IRI) is crucial, previous studies have faced challenges in addressing IRI prediction for asphalt concrete (AC) overlays on Portland cement concrete (PCC) pavements. This study introduces machine learning to predict the IRI of AC overlays on PCC pavements, focusing on incorporating pre ...
K. Kwon, Y. Yeom, Y. J. Shin, A. Bae, H. Choi   +4 more
wiley   +1 more source

Vibration Effects Formation and Car Loads Calculations in Contact between of Wheels and Road Surface Irregularities

Механика машин, механизмов и материалов, 2010
The paper describes a mathematical model to estimate the parameters of vertical automobile body movements and contact zone loads arrived between of the car with the road surface though index IRI (International Roughness Index).
V.V. Mikhailau, M.G. Salodkaya
doaj  

Analysis of Vehicle Vibrations – New Approach to Rating Pavement Condition of Urban Roads

Promet (Zagreb), 2011
Urban road infrastructure is daily burdened by heavy traffic volume. Pavement structure roughness observations are significantly more difficult in urban agglomerations than on roads in unpopulated areas.
Stjepan Lakušić, Davor Brčić, Višnja Tkalčević Lakušić   +2 more
doaj   +1 more source