Centrifuge study on the uplift behavior of spread foundation for transmission tower in sand

Created by W.Langdon from gp-bibliography.bib Revision:1.8414

@Article{Gu:2024:CGJ,

• author = "Kyo-Young Gu and Nghiem Xuan Tran and Jayne M. Han and Kyeong-Sun Kim and Kyung-Won Ham and Sung-Ryul Kim",
• title = "Centrifuge study on the uplift behavior of spread foundation for transmission tower in sand",
• journal = "Canadian Geotechnical Journal",
• year = "2024",
• volume = "61",
• number = "7",
• pages = "1418--1432",
• keywords = "genetic algorithms, genetic programming, transmission tower, spread foundation, uplift capacity, sand, centrifuge tests",
• ISSN = "0008-3674",
• URL = "https://www.sciencedirect.com/science/article/pii/S0008367424000052",
• DOI = "doi:10.1139/cgj-2023-0065",
• abstract = "Realistic simulation of in-situ stresses is an essential consideration in evaluating the bearing capacities of spread foundations. Therefore, this study aimed to investigate the uplift behaviour of large spread foundations by performing a series of centrifuge tests. A total of 12 centrifuge test models were constructed considering the variation in the foundation width (3.5-6.5 m), embedment depth ratio (0.67-1.39), and relative density of dry silica sandy soil (40percent, 80percent). The measured load-displacement curves indicated that the uplift bearing capacity and the corresponding uplift displacement increased with the foundation width at a certain embedment depth ratio. Two sets of empirical equations were proposed by adopting genetic programming to estimate the uplift resistance factor and uplift displacement with consideration of field stress conditions. The proposed equations reasonably matched these parameters under various conditions reported in the literature. Furthermore, a simplified empirical influence zone was proposed on the basis of the measurement of the ground surface displacement. The empirical influence zone, which was a straight line with an inclination angle of ~0.9 times the soil friction angle measured from vertical, could be considered a significant reference for predicting the failure surface of the shallow foundation under uplift loading",

}

Genetic Programming entries for Kyo-Young Gu Nghiem Xuan Tran Jayne M Han Kyeong-Sun Kim Kyung-Won Ham Sung-Ryul Kim

Citations