2022
DOI: 10.1007/s12517-022-09639-6
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Simple models for predicting cyclic behaviour of sand in quaternary alluvium

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Cited by 7 publications
(2 citation statements)
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“…Thus, the effects from the ground to the engineering structure in the area affected by the earthquake and the displacements that may occur at the ground surface can be predicted more accurately 21 , 22 . In the following years, with the development of various programs, the formation and damping behavior of the excess pore water pressure that occurs in the soil during liquefaction has been evaluated, and various software and body models have been developed by many researchers 23 , 24 . It has been concluded that the constitutive equations of UBC3D-PLM, PDMY02 and PM4Sand, which have emerged in recent years and are used in the modeling of liquefaction behavior, provide results closer to reality 25 , 26 .…”
Section: Introductionmentioning
confidence: 99%
“…Thus, the effects from the ground to the engineering structure in the area affected by the earthquake and the displacements that may occur at the ground surface can be predicted more accurately 21 , 22 . In the following years, with the development of various programs, the formation and damping behavior of the excess pore water pressure that occurs in the soil during liquefaction has been evaluated, and various software and body models have been developed by many researchers 23 , 24 . It has been concluded that the constitutive equations of UBC3D-PLM, PDMY02 and PM4Sand, which have emerged in recent years and are used in the modeling of liquefaction behavior, provide results closer to reality 25 , 26 .…”
Section: Introductionmentioning
confidence: 99%
“…The results pointed out the 30 to 50% increase in loading cycles for soils treated with biochar in comparison with clean Ganga sand. Das and Chakrabortty (2022) presented a study to model the large strain cyclic behavior of cohesionless soil from MGP using regression, statistical and neural network methods. The authors find neural network to be more precise in predicting cyclic behavior of soil.…”
Section: Introductionmentioning
confidence: 99%