Liang Han, Mingjing Jiang, Wengang Zhang, Lin Yang
{"title":"Similarity characterization of geotechnical engineering sites under the site-specific data scenario","authors":"Liang Han, Mingjing Jiang, Wengang Zhang, Lin Yang","doi":"10.1007/s10064-024-03990-6","DOIUrl":null,"url":null,"abstract":"<div><p>This study aims at developing a site similarity characterization method suitable for the site-specific data scenario. The site-specific data is generally multivariate, unique, sparse, incomplete, corrupted, and has temporal and spatial variability, briefly denoted as MUSIC-X. Considering the strong power of Bayesian theory in handling uncertainty, the Bayesian inference framework is employed to build the site-specific multivariate distribution model to characterize the site. Then, by combining the site-specific multivariate distribution model and the image structural similarity (SSIM) theory, a site similarity characterization method under site-specific data scenario is proposed. This proposed method was demonstrated by a real site-specific data in Onsøy site in Norway. The results show that (i) the proposed method can obtain the monotonic site similarity indicator with a range of [0, 1], (ii) site similarity can be assessed from three statistical perspectives, namely mean, standard deviation, and correlation, (iii) the proposed method allows for quantifying the uncertainty associated with site similarity characterization, and (iv) spatial correlation of geo-material parameters can be considered. Besides, the link between similarity and engineering characteristics of sites is revealed by a case study about the bearing capacity analysis of the shallow buried footing foundation.</p></div>","PeriodicalId":500,"journal":{"name":"Bulletin of Engineering Geology and the Environment","volume":"83 12","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of Engineering Geology and the Environment","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10064-024-03990-6","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
This study aims at developing a site similarity characterization method suitable for the site-specific data scenario. The site-specific data is generally multivariate, unique, sparse, incomplete, corrupted, and has temporal and spatial variability, briefly denoted as MUSIC-X. Considering the strong power of Bayesian theory in handling uncertainty, the Bayesian inference framework is employed to build the site-specific multivariate distribution model to characterize the site. Then, by combining the site-specific multivariate distribution model and the image structural similarity (SSIM) theory, a site similarity characterization method under site-specific data scenario is proposed. This proposed method was demonstrated by a real site-specific data in Onsøy site in Norway. The results show that (i) the proposed method can obtain the monotonic site similarity indicator with a range of [0, 1], (ii) site similarity can be assessed from three statistical perspectives, namely mean, standard deviation, and correlation, (iii) the proposed method allows for quantifying the uncertainty associated with site similarity characterization, and (iv) spatial correlation of geo-material parameters can be considered. Besides, the link between similarity and engineering characteristics of sites is revealed by a case study about the bearing capacity analysis of the shallow buried footing foundation.
期刊介绍:
Engineering geology is defined in the statutes of the IAEG as the science devoted to the investigation, study and solution of engineering and environmental problems which may arise as the result of the interaction between geology and the works or activities of man, as well as of the prediction of and development of measures for the prevention or remediation of geological hazards. Engineering geology embraces:
• the applications/implications of the geomorphology, structural geology, and hydrogeological conditions of geological formations;
• the characterisation of the mineralogical, physico-geomechanical, chemical and hydraulic properties of all earth materials involved in construction, resource recovery and environmental change;
• the assessment of the mechanical and hydrological behaviour of soil and rock masses;
• the prediction of changes to the above properties with time;
• the determination of the parameters to be considered in the stability analysis of engineering works and earth masses.