Volume 13: Safety Engineering, Risk, and Reliability Analysis; Research Posters最新文献

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Equivalent Energy Absorption (EEA) - A Methodology for Improved Automotive Crash & Safety Design 等效能量吸收(EEA)——一种改进汽车碰撞与安全设计的方法

Volume 13: Safety Engineering, Risk, and Reliability Analysis; Research Posters Pub Date : 2021-11-01 DOI: 10.1115/imece2021-70137

Peddi Sai Rama Narayana, R. Prakash, S. Gunti, Kanugula Raghu

{"title":"Equivalent Energy Absorption (EEA) - A Methodology for Improved Automotive Crash & Safety Design","authors":"Peddi Sai Rama Narayana, R. Prakash, S. Gunti, Kanugula Raghu","doi":"10.1115/imece2021-70137","DOIUrl":"https://doi.org/10.1115/imece2021-70137","url":null,"abstract":"\u0000 Safety norms across the world are becoming more and more stringent posing new challenges to achieve lightweight vehicle structures. Structures made of Advanced/Ultra high strength steels (AHSS) play a vital role in meeting the vehicle safety targets, by absorbing large amounts of impact energy, as well as by withstanding higher impact loads that occur due to vehicle collisions.\u0000 Safety simulations usually take longer solution times due to their complexity and nonlinear nature. Engineers often encounter with a problem of quick evaluation of safety performance by using different grades of materials to optimize the weight & cost. In this paper, a new methodology - Equivalent Energy Absorption (EEA) has been proposed to do a quick trade-off study on performance vs weight for various thickness and material combinations. A relationship is established between the gauge and grade of a component to derive an equivalent safety performance so that engineers can make quick decisions by conducting minimal number of simulations. a simple rectangular crush box was considered for study to assess the Energy Absorption (EA) with various material and thickness combinations. A Design of Experiments (DOE) study was done using simulations with many numbers of material grades and gauges to construct a 3D Response Surface between gauge, grade & EA parameters to understand the relationship between each of these parameters.\u0000 A case study has been discussed in the paper about application of this methodology on a vehicle to evaluate its safety performance. It has been found that more than 80% evaluation time is reduced by using this methodology.","PeriodicalId":146533,"journal":{"name":"Volume 13: Safety Engineering, Risk, and Reliability Analysis; Research Posters","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131054185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Fatigue Crack Growth Prognosis With the Particle Filter and On-Line Guided Wave Structural Monitoring Data 基于粒子滤波和在线导波结构监测数据的疲劳裂纹扩展预测

Volume 13: Safety Engineering, Risk, and Reliability Analysis; Research Posters Pub Date : 2021-11-01 DOI: 10.1115/imece2021-73504

Jian Chen, S. Yuan, Lei Qiu, Yuanqiang Ren

{"title":"Fatigue Crack Growth Prognosis With the Particle Filter and On-Line Guided Wave Structural Monitoring Data","authors":"Jian Chen, S. Yuan, Lei Qiu, Yuanqiang Ren","doi":"10.1115/imece2021-73504","DOIUrl":"https://doi.org/10.1115/imece2021-73504","url":null,"abstract":"\u0000 Prognostics and health management (PHM) techniques have been widely studied in recent years to increase reliability, availability, safety, and reducing maintenance costs of safe-critical systems, like aircraft and power plants. In these systems, fatigue cracking is still one of the most widespread problems affecting structural safety. However, it is difficult to determine the structure’s fatigue life of an individual system due to uncertainties arising from various sources such as intrinsic material properties, loading, and environmental factors. Even fatigue lives of the same specimens under laboratory tests have large dispersion. To deal with this problem, this paper introduces a fatigue crack growth prognosis method with the particle filter (PF) and on-line guided wave structural health monitoring (SHM) data. The guided wave-based SHM technique is adopted for on-line monitoring the presence and size of the fatigue crack. Besides, the monitored data is sequentially combined for correcting a physical fatigue crack growth model within the PF algorithm. Finally, the data of the fatigue tests of the hole-edge crack is used for demonstrating the proposed method.","PeriodicalId":146533,"journal":{"name":"Volume 13: Safety Engineering, Risk, and Reliability Analysis; Research Posters","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116935993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

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