{"title":"PileBetaGR: An R-based integrative tool for predicting the geometric reliability index of piles using load-displacement curves","authors":"Xing Zheng Wu","doi":"10.1016/j.softx.2025.102123","DOIUrl":null,"url":null,"abstract":"<div><div>The PileBetaGR package is a web application designed to enable accessible and reproducible computation of the geometric reliability index for piles using site-specific load-displacement curves. The application compiles a series of functions for analyzing load-displacement data: (i) a power law regression is used to fit each load-displacement curve, yielding a set of regression parameters for the site; (ii) a normal copula model is established to fit the joint distribution of these regression variables, allowing a geometric reliability index to be computed; (iii) the critical environmental contour is determined based on the joint probability density function and the limit state function. The PileBetaGR enables users to construct three- and four-dimensional environmental contours by treating the dead and live load as random variables and to understand the roles various correlation coefficients, marginal distributions, and loading ratios play in the reliability index evaluation. A web application that facilitates the use of the package even for those with no background in R programming is offered via Shiny apps.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"30 ","pages":"Article 102123"},"PeriodicalIF":2.4000,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711025000901","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
摘要
PileBetaGR 软件包是一个网络应用程序,旨在利用特定场地的荷载-位移曲线,以可访问和可重复的方式计算桩的几何可靠性指数。该应用程序编译了一系列分析荷载-位移数据的功能:(i) 使用幂律回归法拟合每条荷载-位移曲线,从而得出场地的一组回归参数;(ii) 建立正态共线模型以拟合这些回归变量的联合分布,从而计算出几何可靠性指数;(iii) 根据联合概率密度函数和极限状态函数确定临界环境等值线。PileBetaGR 使用户能够通过将死荷载和活荷载视为随机变量来构建三维和四维环境等值线,并了解各种相关系数、边际分布和荷载比在可靠性指数评估中的作用。通过 Shiny 应用程序,即使没有 R 编程背景的人也能方便地使用该软件包。
PileBetaGR: An R-based integrative tool for predicting the geometric reliability index of piles using load-displacement curves
The PileBetaGR package is a web application designed to enable accessible and reproducible computation of the geometric reliability index for piles using site-specific load-displacement curves. The application compiles a series of functions for analyzing load-displacement data: (i) a power law regression is used to fit each load-displacement curve, yielding a set of regression parameters for the site; (ii) a normal copula model is established to fit the joint distribution of these regression variables, allowing a geometric reliability index to be computed; (iii) the critical environmental contour is determined based on the joint probability density function and the limit state function. The PileBetaGR enables users to construct three- and four-dimensional environmental contours by treating the dead and live load as random variables and to understand the roles various correlation coefficients, marginal distributions, and loading ratios play in the reliability index evaluation. A web application that facilitates the use of the package even for those with no background in R programming is offered via Shiny apps.
期刊介绍:
SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.