Results 51 to 60 of about 2,601 (208)

Real‐Time Road Crack Mapping Using an Optimized Convolutional Neural Network

Complexity, Volume 2019, Issue 1, 2019., 2019
Pavement surveying and distress mapping is completed by roadway authorities to quantify the topical and structural damage levels for strategic preventative or rehabilitative action. The failure to time the preventative or rehabilitative action and control distress propagation can lead to severe structural and financial loss of the asset requiring ...
M-Mahdi Naddaf-Sh, SeyedSaeid Hosseini, Jing Zhang, Nicholas A. Brake, Hassan Zargarzadeh, Alex Alexandridis   +5 more
wiley   +1 more source

Calculation and Control Methods for Equivalent Resilient Modulus of Subgrade Based on Nonuniform Distribution of Stress

Advances in Civil Engineering, Volume 2019, Issue 1, 2019., 2019
The resilient modulus of subgrade is a design parameter of the pavement structure, which is significantly affected by the overlying load and traffic load. It is important to calculate the equivalent resilient modulus of the top surface of subgrade based on the nonuniform distribution of resilient modulus in subgrade.
Yongsheng Yao, Junfeng Qian, Jue Li, Anshun Zhang, Junhui Peng, Hugo Rodrigues   +5 more
wiley   +1 more source

Utilizing expansive soil treated with phosphogypsum and lime in pavement construction

Results in Engineering, 2023
This study investigated the use of phosphogypsum (PG) in the long term as a construction material, especially in pavement structures. This study aimed to investigate the effect of increasing PG percentages on the geotechnical parameters of Expansive Soil.
Dima A. Malkawi, Samer R. Rabab'ah, Malak M. AlSyouf, Hussein Aldeeky   +3 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

Numerical Method of Flexible Pavement considering Moisture and Stress Sensitivity of Subgrade Soils

Advances in Civil Engineering, Volume 2019, Issue 1, 2019., 2019
Weaknesses of the subgrade structure induce the asphalt surface diseases and shorten the service life of flexible pavement. However, the resilient modulus (Mr) of subgrade soils is difficult to be evaluated directly since the subgrade is hidden and covered by the granular or asphalt layer.
Jue Li, Jianlong Zheng, Yongsheng Yao, Junhui Zhang, Junhui Peng, Emilio García-Taengua   +5 more
wiley   +1 more source

Application of FWD data in developing dynamic modulus master curves of in-service asphalt layers

Journal of Civil Engineering and Management, 2017
This paper presents a simple method to determine dynamic modulus master curve of asphalt layers by con­ducting Falling Weight Deflectometer (FWD) for use in mechanistic-empirical rehabilitation. Ten new and rehabilitated in-service asphalt pavements with
Nader Solatifar, Amir Kavussi, Mojtaba Abbasghorbani, Henrikas Sivilevičius   +3 more
doaj   +1 more source

Characterization of Asphalt Treated Base Course Material [PDF]

, 2010
INE/AUTC 11 ...
Li, Peng, Liu, Juanyu
core  

Prediction Model for Asphalt Pavement Temperature in High‐Temperature Season in Beijing

Advances in Civil Engineering, Volume 2018, Issue 1, 2018., 2018
Asphalt pavement temperatures greatly influence on the bearing capacity and performance, especially in high‐temperature season. The variation rules of pavement temperatures under the high‐temperature range affect the design and maintenance management of the asphalt pavement, as well as the accurate prediction for pavement temperatures. However, asphalt
Jing Chao, Zhang Jinxi, Francesco Canestrari   +2 more
wiley   +1 more source

Material Thermal Inputs of Iowa Materials for MEPDG, 2011 [PDF]

, 2011
The thermal properties of concrete materials, such as coeffi cient of thermal expansion (CTE), thermal conductivity, and heat capacity, are required by the MEPDG program as the material inputs for pavement design.

core  

Global Sensitivity Analysis of Jointed Plain Concrete Pavement Mechanistic-Empirical Performance Predictions [PDF]

, 2013
The new AASHTO Mechanistic-Empirical Pavement Design Guide (MEPDG) provides pavement analysis and performance predictions for various what-if scenarios.
Ceylan, Halil, Ceylan, Halil, Gopalakrishnan, Kasthurirangan, Kim, Sunghwan, Li, Rui, Schwartz, Charles   +5 more
core   +3 more sources