Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Nasrin Heidarabadizadeh"'
Publikováno v:
International Journal of Mining and Geo-Engineering, Vol 56, Iss 3, Pp 257-269 (2022)
In this study, the evolutionary polynomial regression (EPR) method has been employed to develop simple models with reasonable accuracy to predict the compressive strength and Young's modulus of the lime/cement stabilized clayey subgrade soil. For thi
Externí odkaz:
https://doaj.org/article/0f60f26c7d2c4894b5193973877c339b
Publikováno v:
Civil Engineering Infrastructures Journal, Vol 55, Iss 1, Pp 89-108 (2022)
This research aim is to develop a procedure for backcalculation of flexible pavements moduli based on the hybridization of the Artificial Neural Network (ANN) and the Jaya optimization algorithm. The ANN was applied to predict the pavement deflection
Externí odkaz:
https://doaj.org/article/bc71f5b445b84ce2861153216da53678
Publikováno v:
Journal of Soft Computing in Civil Engineering, Vol 5, Iss 1, Pp 80-94 (2021)
The resilient modulus of different pavement materials is one of the most important parameters for the pavement design using the mechanistic-empirical (M-E) method. The resilient modulus is generally determined by a triaxial test, which is expensive a
Externí odkaz:
https://doaj.org/article/9495b2cb28754e5fbe9e5a875c6ec71f
Publikováno v:
Civil Engineering Infrastructures Journal, Vol 53, Iss 1, Pp 115-136 (2020)
The main purpose of this work is the comparison of several objective functions for optimization of the vertical alignment. To this end, after formulation of optimum vertical alignment problem based on different constraints, the objective function was
Externí odkaz:
https://doaj.org/article/c9687f89c33d4b98b9029d2a0ed16ee1
Publikováno v:
پژوهشهای زیرساختهای عمرانی, Vol 5, Iss 2, Pp 83-98 (2020)
In this paper, two models have been developed to predict the resilient modulus of asphalt mixtures reinforced with Korta fiber subjected to square and haversine waveform, based on the response surface methodology. To this end, the asphalt mix samples
Externí odkaz:
https://doaj.org/article/3af5b5e301364cc2bc4b7e2f3c1fb71f
Publikováno v:
Innovative Infrastructure Solutions. 5
The primary objective of this research was to develop a model to accurately predict the modulus of flexible pavement layers from surface deflections measured using the falling weight deflectometer (FWD) device. To do so, a synthetic dataset consistin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5f7062c1aa264a1c7601df949eb4945
https://doi.org/10.1007/s41062-020-00312-z
https://doi.org/10.1007/s41062-020-00312-z
Publikováno v:
Construction and Building Materials. 275:122140
The resilient modulus (MR) of road materials is one of the most important parameters in the analysis and design of pavement. This parameter is used in both empirical methods and mechanistic-empirical methods as the main parameter for expressing the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f029ca4fea19db73e76cf142aad293a
https://doi.org/10.1016/j.conbuildmat.2020.122140
https://doi.org/10.1016/j.conbuildmat.2020.122140