J. G. Howe, Dongchan Lee, J. Chrstos, O. Balling, T. Myers, R. Allen, D. Gorsich, Alexander A. Reid
{"title":"进一步分析潜在的道路/地形表征评级指标","authors":"J. G. Howe, Dongchan Lee, J. Chrstos, O. Balling, T. Myers, R. Allen, D. Gorsich, Alexander A. Reid","doi":"10.4271/2005-01-3562","DOIUrl":null,"url":null,"abstract":"The U.S. Army uses the root mean square and power spectral density of elevation to characterize road/terrain (off-road) roughness for durability. This paper describes research aimed toward improving these metrics. The focus is on taking previously developed metrics and applying them to mathematically generated terrains to determine how each metric discerns the relative roughness of the terrains from a vehicle durability perspective. Multiple terrains for each roughness level were evaluated to determine the variability for each terrain rating metric. One method currently under consideration is running a relatively simple, yet vehicle class specific, model over a given terrain and using predicted vehicle response(s) to classify or characterize the terrain.","PeriodicalId":21404,"journal":{"name":"SAE transactions","volume":"11 1","pages":"228-241"},"PeriodicalIF":0.0000,"publicationDate":"2005-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Further Analysis of Potential Road/Terrain Characterization Rating Metrics\",\"authors\":\"J. G. Howe, Dongchan Lee, J. Chrstos, O. Balling, T. Myers, R. Allen, D. Gorsich, Alexander A. Reid\",\"doi\":\"10.4271/2005-01-3562\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The U.S. Army uses the root mean square and power spectral density of elevation to characterize road/terrain (off-road) roughness for durability. This paper describes research aimed toward improving these metrics. The focus is on taking previously developed metrics and applying them to mathematically generated terrains to determine how each metric discerns the relative roughness of the terrains from a vehicle durability perspective. Multiple terrains for each roughness level were evaluated to determine the variability for each terrain rating metric. One method currently under consideration is running a relatively simple, yet vehicle class specific, model over a given terrain and using predicted vehicle response(s) to classify or characterize the terrain.\",\"PeriodicalId\":21404,\"journal\":{\"name\":\"SAE transactions\",\"volume\":\"11 1\",\"pages\":\"228-241\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SAE transactions\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4271/2005-01-3562\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SAE transactions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4271/2005-01-3562","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Further Analysis of Potential Road/Terrain Characterization Rating Metrics
The U.S. Army uses the root mean square and power spectral density of elevation to characterize road/terrain (off-road) roughness for durability. This paper describes research aimed toward improving these metrics. The focus is on taking previously developed metrics and applying them to mathematically generated terrains to determine how each metric discerns the relative roughness of the terrains from a vehicle durability perspective. Multiple terrains for each roughness level were evaluated to determine the variability for each terrain rating metric. One method currently under consideration is running a relatively simple, yet vehicle class specific, model over a given terrain and using predicted vehicle response(s) to classify or characterize the terrain.