{"title":"利用等效静力模型对承受爆炸荷载的结构部件进行概率性能分析","authors":"A. Bhatt, P. Maheshwari, Pradeep Bhargava","doi":"10.1177/20414196221142905","DOIUrl":null,"url":null,"abstract":"This study presents a probabilistic analysis of a single degree of freedom (SDOF) system subjected to drift-controlled distant blast loading employing Monte-Carlo simulation using MATLAB. The simulations are achieved using an equivalent static force (ESF)–based model as the deterministic model. The loading and structural parameters are treated as random variables in the parametric sensitivity analysis. ESF factor and the resistance of the SDOF system are observed as the response parameters. ESF factor is found to be highly sensitive to positive pulse duration, whilst the resistance is found to be more sensitive to both positive pulse duration and the peak blast force. With the log-normal distribution of input parameters, the ESF factor and the resistance of the SDOF system follow the log-normal distribution. The present study suggests that the probabilistic analysis is more conservative than the deterministic analysis. The uncertainty can be incorporated in a deterministic approach for both analysis and design purposes by opting suitable factor of safety (FOS) based on probabilistic analysis.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":"101 35","pages":"65 - 94"},"PeriodicalIF":4.6000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Probabilistic performance analysis of structural elements subjected to blast load using equivalent static force model\",\"authors\":\"A. Bhatt, P. Maheshwari, Pradeep Bhargava\",\"doi\":\"10.1177/20414196221142905\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study presents a probabilistic analysis of a single degree of freedom (SDOF) system subjected to drift-controlled distant blast loading employing Monte-Carlo simulation using MATLAB. The simulations are achieved using an equivalent static force (ESF)–based model as the deterministic model. The loading and structural parameters are treated as random variables in the parametric sensitivity analysis. ESF factor and the resistance of the SDOF system are observed as the response parameters. ESF factor is found to be highly sensitive to positive pulse duration, whilst the resistance is found to be more sensitive to both positive pulse duration and the peak blast force. With the log-normal distribution of input parameters, the ESF factor and the resistance of the SDOF system follow the log-normal distribution. The present study suggests that the probabilistic analysis is more conservative than the deterministic analysis. The uncertainty can be incorporated in a deterministic approach for both analysis and design purposes by opting suitable factor of safety (FOS) based on probabilistic analysis.\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":\"101 35\",\"pages\":\"65 - 94\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/20414196221142905\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/20414196221142905","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
Probabilistic performance analysis of structural elements subjected to blast load using equivalent static force model
This study presents a probabilistic analysis of a single degree of freedom (SDOF) system subjected to drift-controlled distant blast loading employing Monte-Carlo simulation using MATLAB. The simulations are achieved using an equivalent static force (ESF)–based model as the deterministic model. The loading and structural parameters are treated as random variables in the parametric sensitivity analysis. ESF factor and the resistance of the SDOF system are observed as the response parameters. ESF factor is found to be highly sensitive to positive pulse duration, whilst the resistance is found to be more sensitive to both positive pulse duration and the peak blast force. With the log-normal distribution of input parameters, the ESF factor and the resistance of the SDOF system follow the log-normal distribution. The present study suggests that the probabilistic analysis is more conservative than the deterministic analysis. The uncertainty can be incorporated in a deterministic approach for both analysis and design purposes by opting suitable factor of safety (FOS) based on probabilistic analysis.
期刊介绍:
ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications.
The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.