Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Abidhan Bardhan"'
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 15, Iss 3, Pp 773-788 (2023)
Settlement prediction of geosynthetic-reinforced soil (GRS) abutments under service loading conditions is an arduous and challenging task for practicing geotechnical/civil engineers. Hence, in this paper, a novel hybrid artificial intelligence (AI)-b
Externí odkaz:
https://doaj.org/article/536ca52f8fd64d83a206928c5ebc3f61
Autor:
Abidhan Bardhan, Navid Kardani, Abdel Kareem Alzo'ubi, Bishwajit Roy, Pijush Samui, Amir H. Gandomi
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 14, Iss 5, Pp 1588-1608 (2022)
The study proposes an improved Harris hawks optimization (IHHO) algorithm by integrating the standard Harris hawks optimization (HHO) algorithm and mutation-based search mechanism for developing a high-performance machine learning solution for predic
Externí odkaz:
https://doaj.org/article/23aa2a26fe95427ea82f6ba8468dd8dd
Autor:
Abdelhalim Azam, Abidhan Bardhan, Mosbeh R. Kaloop, Pijush Samui, Fayez Alanazi, Majed Alzara, Ahmed M. Yosri
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-20 (2022)
Abstract Resilient modulus (Mr) of subgrade soils is one of the crucial inputs in pavement structural design methods. However, the spatial variability of soil properties and the nature of test protocols, the laboratory determination of Mr has become
Externí odkaz:
https://doaj.org/article/4abce756461141f9bd8e3e97d5f8f570
Autor:
Sumit Kumar, Shiva Shankar Choudhary, Avijit Burman, Raushan Kumar Singh, Abidhan Bardhan, Panagiotis G. Asteris
Publikováno v:
Mathematics, Vol 11, Iss 18, p 3809 (2023)
In the past, numerous stratovolcanoes worldwide witnessed catastrophic flank collapses. One of the greatest risks associated with stratovolcanoes is a massive rock failure. On 18 May 1980, we witnessed a rock slope failure due to a volcano eruption,
Externí odkaz:
https://doaj.org/article/97bd543929454764b3d41261ff668337
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 13, Iss 6, Pp 1398-1412 (2021)
This study implements a hybrid ensemble machine learning method for forecasting the rate of penetration (ROP) of tunnel boring machine (TBM), which is becoming a prerequisite for reliable cost assessment and project scheduling in tunnelling and under
Externí odkaz:
https://doaj.org/article/bb90af70145949fd978645e65f2d097f
Autor:
Abidhan Bardhan, Raushan Kumar Singh, Sufyan Ghani, Gerasimos Konstantakatos, Panagiotis G. Asteris
Publikováno v:
Mathematics, Vol 11, Iss 14, p 3064 (2023)
The criteria for measuring soil compaction parameters, such as optimum moisture content and maximum dry density, play an important role in construction projects. On construction sites, base/sub-base soils are compacted at the optimal moisture content
Externí odkaz:
https://doaj.org/article/7b669adee1e147d2b12205fec2ab276f
Publikováno v:
Infrastructures, Vol 6, Iss 9, p 129 (2021)
The majority of natural ground vibrations are caused by the release of strain energy accumulated in the rock strata. The strain reacts to the formation of crack patterns and rock stratum failure. Rock strain prediction is one of the significant works
Externí odkaz:
https://doaj.org/article/e7c5096f650244d09f6e43a2df50cbb2
Autor:
Athanasia D. Skentou, Abidhan Bardhan, Anna Mamou, Minas E. Lemonis, Gaurav Kumar, Pijush Samui, Danial J. Armaghani, Panagiotis G. Asteris
Publikováno v:
Rock Mechanics and Rock Engineering. 56:487-514
The use of three artificial neural network (ANN)-based models for the prediction of unconfined compressive strength (UCS) of granite using three non-destructive test indicators, namely pulse velocity, Schmidt hammer rebound number, and effective poro
Autor:
Abidhan Bardhan, Navid Kardani, Anasua GuhaRay, Pijush Samui, Chongzhi Wu, Yanmei Zhang, Siddhartha Bhattacharyya, Candan Gokceoglu
Publikováno v:
Road Materials and Pavement Design. :1-32
Publikováno v:
Modeling Earth Systems and Environment. 9:723-734