{"title":"基于锥形穿透试验的地震诱发砂土液化危险性分类方案","authors":"Zhaoyan Li , Sheng Zhang , Xiaoming Yuan , Mingyu Geng","doi":"10.1016/j.softx.2025.102389","DOIUrl":null,"url":null,"abstract":"<div><div>Earthquake-induced sand liquefaction poses a serious threat to the stability of engineering structures. Accurate assessment of liquefaction hazards is critical for disaster management and seismic-resistant design. Addressing the limitations of traditional methods under complex geological conditions, this study proposes an automated evaluation approach based on Cone Penetration Testing (CPT) data. A dedicated program integrating multi-parameter computation and a graphical user interface (GUI) was developed using the Tkinter library. It incorporates an improved model for calculating critical cone tip resistance and a layer-based cumulative liquefaction index algorithm. This system automates the entire process from data input to hazard classification. Case studies demonstrate the program’s efficiency in handling multi-site and multi-layer datasets, providing engineers with intuitive and reliable liquefaction risk evaluations. The program significantly enhances the digitalization of seismic disaster risk mitigation.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"32 ","pages":"Article 102389"},"PeriodicalIF":2.4000,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Program for earthquake-induced sand liquefaction hazard classification based on cone penetration testing\",\"authors\":\"Zhaoyan Li , Sheng Zhang , Xiaoming Yuan , Mingyu Geng\",\"doi\":\"10.1016/j.softx.2025.102389\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Earthquake-induced sand liquefaction poses a serious threat to the stability of engineering structures. Accurate assessment of liquefaction hazards is critical for disaster management and seismic-resistant design. Addressing the limitations of traditional methods under complex geological conditions, this study proposes an automated evaluation approach based on Cone Penetration Testing (CPT) data. A dedicated program integrating multi-parameter computation and a graphical user interface (GUI) was developed using the Tkinter library. It incorporates an improved model for calculating critical cone tip resistance and a layer-based cumulative liquefaction index algorithm. This system automates the entire process from data input to hazard classification. Case studies demonstrate the program’s efficiency in handling multi-site and multi-layer datasets, providing engineers with intuitive and reliable liquefaction risk evaluations. The program significantly enhances the digitalization of seismic disaster risk mitigation.</div></div>\",\"PeriodicalId\":21905,\"journal\":{\"name\":\"SoftwareX\",\"volume\":\"32 \",\"pages\":\"Article 102389\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-10-04\",\"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/S2352711025003553\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711025003553","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}
Program for earthquake-induced sand liquefaction hazard classification based on cone penetration testing
Earthquake-induced sand liquefaction poses a serious threat to the stability of engineering structures. Accurate assessment of liquefaction hazards is critical for disaster management and seismic-resistant design. Addressing the limitations of traditional methods under complex geological conditions, this study proposes an automated evaluation approach based on Cone Penetration Testing (CPT) data. A dedicated program integrating multi-parameter computation and a graphical user interface (GUI) was developed using the Tkinter library. It incorporates an improved model for calculating critical cone tip resistance and a layer-based cumulative liquefaction index algorithm. This system automates the entire process from data input to hazard classification. Case studies demonstrate the program’s efficiency in handling multi-site and multi-layer datasets, providing engineers with intuitive and reliable liquefaction risk evaluations. The program significantly enhances the digitalization of seismic disaster risk mitigation.
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.