{"title":"Evaluation of the methods used for estimating the bearing capacity of stone columns","authors":"Mahmoud Ghazavi , Movahed Rouhani , Arman Khoshghalb","doi":"10.1016/j.trgeo.2024.101405","DOIUrl":null,"url":null,"abstract":"<div><div>Stone columns have been utilized for several decades due to their ability to improve the mechanical behavior of weak and marginal soil deposits. Reducing the cost of a project necessitates accurate estimation of the stone column capacity. This paper considers the existing analytical methods for estimating the bearing capacity of stone columns and evaluates their prediction accuracy. For this purpose, the results of 36 full-scale field tests on footings supported by stone columns are considered, and the measured bearing capacities (<em>Q<sub>M</sub></em>) are compared with the estimated bearing capacity (<em>Q<sub>E</sub></em>) values computed from 15 analytical solutions predicting the stone column capacity. For this comparison, five statistical approaches are employed in order to evaluate these 15 methods and identify the level of their prediction accuracy. Finally, the methods are ranked by the degree of accuracy with which they can estimate the load capacity. The findings of this research help designers and decision makers to choose a more reliable design method when dealing with stone columns.</div></div>","PeriodicalId":56013,"journal":{"name":"Transportation Geotechnics","volume":"49 ","pages":"Article 101405"},"PeriodicalIF":4.9000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Geotechnics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214391224002265","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
Stone columns have been utilized for several decades due to their ability to improve the mechanical behavior of weak and marginal soil deposits. Reducing the cost of a project necessitates accurate estimation of the stone column capacity. This paper considers the existing analytical methods for estimating the bearing capacity of stone columns and evaluates their prediction accuracy. For this purpose, the results of 36 full-scale field tests on footings supported by stone columns are considered, and the measured bearing capacities (QM) are compared with the estimated bearing capacity (QE) values computed from 15 analytical solutions predicting the stone column capacity. For this comparison, five statistical approaches are employed in order to evaluate these 15 methods and identify the level of their prediction accuracy. Finally, the methods are ranked by the degree of accuracy with which they can estimate the load capacity. The findings of this research help designers and decision makers to choose a more reliable design method when dealing with stone columns.
期刊介绍:
Transportation Geotechnics is a journal dedicated to publishing high-quality, theoretical, and applied papers that cover all facets of geotechnics for transportation infrastructure such as roads, highways, railways, underground railways, airfields, and waterways. The journal places a special emphasis on case studies that present original work relevant to the sustainable construction of transportation infrastructure. The scope of topics it addresses includes the geotechnical properties of geomaterials for sustainable and rational design and construction, the behavior of compacted and stabilized geomaterials, the use of geosynthetics and reinforcement in constructed layers and interlayers, ground improvement and slope stability for transportation infrastructures, compaction technology and management, maintenance technology, the impact of climate, embankments for highways and high-speed trains, transition zones, dredging, underwater geotechnics for infrastructure purposes, and the modeling of multi-layered structures and supporting ground under dynamic and repeated loads.