A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Critical Responses of Flexible Pavements Under Superheavy Loads and Data-Driven Surrogate Model
https://orcid.org/http://orcid.org/0000-0003-0582-1898
https://orcid.org/http://orcid.org/0000-0003-1133-0366
https://orcid.org/http://orcid.org/0000-0002-1239-2350
https://orcid.org/http://orcid.org/0000-0002-2265-9602
Superheavy Load (SHL), a specially manufactured vehicle for transporting superheavy cargo, such as wind turbines, has weight, size, and loading configurations, differs from general truck traffic, e.g., the 13 vehicle classes defined by Federal Highway Administration (FHWA). To characterize non-generic configurations of SHLs, an efficient and structured analysis method is needed to predict unexpected damages that can occur in flexible pavement subjected to SHL loading. In this paper, existing methodologies including the superposition method and the nucleus segment approach are introduced to characterize the loading range and magnitude of each SHL. To identify potential damages by SHLs on flexible pavement, a set of experimental matrices considering pavement properties and loadings from the nucleus segment of each SHL is established—i.e., a total of 3456 cases of flexible pavement analysis, varying in thickness and modulus of elasticity of each layer, and in types of loading, are performed using a Layered Elastic Theory (LET)-based analysis program, MnLayer. As a result of the mechanistic investigation, critical pavement responses under SHLs and FHWA class 9 truck (reference vehicle) are determined. Furthermore, damage ratios using transfer functions available in Mechanistic-Empirical Pavement Design Guide (MEPDG): A Manual of Practice are calculated for each SHL compared to the reference vehicle, FHWA class 9 truck. Finally, an advanced statistical prediction model, Generalized Additive Model (GAM), is constructed as a data-driven surrogate model to provide relatively high performance in predicting target responses of flexible pavements from varying explanatory variables (e.g., flexible pavement properties and loading conditions of SHLs).
Critical Responses of Flexible Pavements Under Superheavy Loads and Data-Driven Surrogate Model
https://orcid.org/http://orcid.org/0000-0003-0582-1898
https://orcid.org/http://orcid.org/0000-0003-1133-0366
https://orcid.org/http://orcid.org/0000-0002-1239-2350
https://orcid.org/http://orcid.org/0000-0002-2265-9602
Superheavy Load (SHL), a specially manufactured vehicle for transporting superheavy cargo, such as wind turbines, has weight, size, and loading configurations, differs from general truck traffic, e.g., the 13 vehicle classes defined by Federal Highway Administration (FHWA). To characterize non-generic configurations of SHLs, an efficient and structured analysis method is needed to predict unexpected damages that can occur in flexible pavement subjected to SHL loading. In this paper, existing methodologies including the superposition method and the nucleus segment approach are introduced to characterize the loading range and magnitude of each SHL. To identify potential damages by SHLs on flexible pavement, a set of experimental matrices considering pavement properties and loadings from the nucleus segment of each SHL is established—i.e., a total of 3456 cases of flexible pavement analysis, varying in thickness and modulus of elasticity of each layer, and in types of loading, are performed using a Layered Elastic Theory (LET)-based analysis program, MnLayer. As a result of the mechanistic investigation, critical pavement responses under SHLs and FHWA class 9 truck (reference vehicle) are determined. Furthermore, damage ratios using transfer functions available in Mechanistic-Empirical Pavement Design Guide (MEPDG): A Manual of Practice are calculated for each SHL compared to the reference vehicle, FHWA class 9 truck. Finally, an advanced statistical prediction model, Generalized Additive Model (GAM), is constructed as a data-driven surrogate model to provide relatively high performance in predicting target responses of flexible pavements from varying explanatory variables (e.g., flexible pavement properties and loading conditions of SHLs).
Critical Responses of Flexible Pavements Under Superheavy Loads and Data-Driven Surrogate Model
https://orcid.org/http://orcid.org/0000-0003-0582-1898
https://orcid.org/http://orcid.org/0000-0003-1133-0366
https://orcid.org/http://orcid.org/0000-0002-1239-2350
https://orcid.org/http://orcid.org/0000-0002-2265-9602
Superheavy Load (SHL), a specially manufactured vehicle for transporting superheavy cargo, such as wind turbines, has weight, size, and loading configurations, differs from general truck traffic, e.g., the 13 vehicle classes defined by Federal Highway Administration (FHWA). To characterize non-generic configurations of SHLs, an efficient and structured analysis method is needed to predict unexpected damages that can occur in flexible pavement subjected to SHL loading. In this paper, existing methodologies including the superposition method and the nucleus segment approach are introduced to characterize the loading range and magnitude of each SHL. To identify potential damages by SHLs on flexible pavement, a set of experimental matrices considering pavement properties and loadings from the nucleus segment of each SHL is established—i.e., a total of 3456 cases of flexible pavement analysis, varying in thickness and modulus of elasticity of each layer, and in types of loading, are performed using a Layered Elastic Theory (LET)-based analysis program, MnLayer. As a result of the mechanistic investigation, critical pavement responses under SHLs and FHWA class 9 truck (reference vehicle) are determined. Furthermore, damage ratios using transfer functions available in Mechanistic-Empirical Pavement Design Guide (MEPDG): A Manual of Practice are calculated for each SHL compared to the reference vehicle, FHWA class 9 truck. Finally, an advanced statistical prediction model, Generalized Additive Model (GAM), is constructed as a data-driven surrogate model to provide relatively high performance in predicting target responses of flexible pavements from varying explanatory variables (e.g., flexible pavement properties and loading conditions of SHLs).
Critical Responses of Flexible Pavements Under Superheavy Loads and Data-Driven Surrogate Model
Int. J. Pavement Res. Technol.
Koh, Yongsung (author) / Ceylan, Halil (author) / Kim, Sunghwan (author) / Cho, In Ho (author)
International Journal of Pavement Research and Technology ; 16 ; 513-543
2023-05-01
31 pages
Article (Journal)
Electronic Resource
English
Evaluation of superheavy load movement on flexible pavements
| Taylor & Francis Verlag | 2013
Evaluation of superheavy load movement on flexible pavements
| Online Contents | 2013
Modeling of Pavement Response Under Superheavy Loads
| British Library Conference Proceedings | 1994
Modeling of Pavement Response Under Superheavy Loads
| British Library Online Contents | 1994