CRASH SENSING AND ALGORITHM DEVELOPMENT FOR FRONTAL AIRBAG SYSTEMS USING CAE METHODS AND MECHANICAL TESTS. IN: CAE METHODS FOR VEHICLE CRASHWORTHINESS AND OCCUPANT SAFETY, AND SAFETY-CRITICAL SYSTEMS
{"title":"CRASH SENSING AND ALGORITHM DEVELOPMENT FOR FRONTAL AIRBAG SYSTEMS USING CAE METHODS AND MECHANICAL TESTS. IN: CAE METHODS FOR VEHICLE CRASHWORTHINESS AND OCCUPANT SAFETY, AND SAFETY-CRITICAL SYSTEMS","authors":"B. Pipkorn","doi":"10.4271/2004-01-1633","DOIUrl":null,"url":null,"abstract":"Mathematical models in combination with mechanical tests were used to develop a frontal crash sensing system and algorithm. The required sensor closure time for the initiation of driver side airbag deployment was estimated by means of multi-body dynamic occupant models. The crash sensing system and algorithm were developed using predictions from a finite element model of the front structure of a passenger vehicle. All models were validated by mechanical tests. Generally good agreement was obtained from the model predictions and results from the mechanical tests.","PeriodicalId":291036,"journal":{"name":"Publication of: Society of Automotive Engineers","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Publication of: Society of Automotive Engineers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4271/2004-01-1633","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Mathematical models in combination with mechanical tests were used to develop a frontal crash sensing system and algorithm. The required sensor closure time for the initiation of driver side airbag deployment was estimated by means of multi-body dynamic occupant models. The crash sensing system and algorithm were developed using predictions from a finite element model of the front structure of a passenger vehicle. All models were validated by mechanical tests. Generally good agreement was obtained from the model predictions and results from the mechanical tests.