农业工程学报
農業工程學報
농업공정학보
2013年
16期
83-91
,共9页
车辆%有限元分析%疲劳损伤%寿命预测%雨流计数法
車輛%有限元分析%疲勞損傷%壽命預測%雨流計數法
차량%유한원분석%피로손상%수명예측%우류계수법
vehicles%finite element method%fatigue damage%life prediction%rain flow counting method
为提高车辆结构疲劳耐久性、完善车辆结构设计方法,该文对车辆控制臂进行了的疲劳损伤分析与寿命预测研究。通过有限元分析法,建立控制臂有限元分析模型,分析其结构应力,确定疲劳损坏热点。实测获得试验场条件下控制臂的应变载荷,进行频谱分析与低通滤波等数据处理,利用雨流计数法,编制控制臂载荷谱。利用局部应力应变法与Miner准则,考虑结构应力集中修正,完成控制臂的疲劳损伤分析与寿命预估。结果表明,控制臂损伤热点主要分布在与转向节连接的过渡处,控制臂载荷信号频域能量主要集中在15 Hz以内,与车体结构的实际频率分布相符,控制臂的疲劳损伤分布与实际路况条件的受力状况相符,得出控制臂试验场预期寿命为3.96万h。研究结果可为车辆疲劳耐久研究提供重要参考。
為提高車輛結構疲勞耐久性、完善車輛結構設計方法,該文對車輛控製臂進行瞭的疲勞損傷分析與壽命預測研究。通過有限元分析法,建立控製臂有限元分析模型,分析其結構應力,確定疲勞損壞熱點。實測穫得試驗場條件下控製臂的應變載荷,進行頻譜分析與低通濾波等數據處理,利用雨流計數法,編製控製臂載荷譜。利用跼部應力應變法與Miner準則,攷慮結構應力集中脩正,完成控製臂的疲勞損傷分析與壽命預估。結果錶明,控製臂損傷熱點主要分佈在與轉嚮節連接的過渡處,控製臂載荷信號頻域能量主要集中在15 Hz以內,與車體結構的實際頻率分佈相符,控製臂的疲勞損傷分佈與實際路況條件的受力狀況相符,得齣控製臂試驗場預期壽命為3.96萬h。研究結果可為車輛疲勞耐久研究提供重要參攷。
위제고차량결구피로내구성、완선차량결구설계방법,해문대차량공제비진행료적피로손상분석여수명예측연구。통과유한원분석법,건립공제비유한원분석모형,분석기결구응력,학정피로손배열점。실측획득시험장조건하공제비적응변재하,진행빈보분석여저통려파등수거처리,이용우류계수법,편제공제비재하보。이용국부응력응변법여Miner준칙,고필결구응력집중수정,완성공제비적피로손상분석여수명예고。결과표명,공제비손상열점주요분포재여전향절련접적과도처,공제비재하신호빈역능량주요집중재15 Hz이내,여차체결구적실제빈솔분포상부,공제비적피로손상분포여실제로황조건적수력상황상부,득출공제비시험장예기수명위3.96만h。연구결과가위차량피로내구연구제공중요삼고。
In order to improve the vehicle structure fatigue durability, and to perfect vehicle structure design method, In this paper, fatigue damage analysis and life prediction on the vehicle control arm were done by three parts, namely, finite element modeling and analysis, load spectrum testing and establishment, fatigue damage analysis and life prediction. A fatigue life prediction method of vehicle control arm was put forward. Firstly, the finite element analysis model of the vehicle control arm was built in ANSYS software, and its construction stress was calculated and analyzed under the action of lateral and longitudinal forces respectively. Two hot points on the control arm were determined, which could bring about fatigue damage. The location of each hot point is respectively at the transition of the control arm connected to the steering knuckle and to the subframe. Both locations were identified as load testing points of P1 and P2 that strain gauges were pasted. Secondly, the strain load of the control arm was measured under the condition of the proving ground, nine kinds of roads were chosen in the proving ground and the vehicle speed was different on the each road. During the process of the experiment, the test was done repeatedly six times by three skilled drivers. After doing the data processing such as frequency spectrum analysis and low passing filtering, filter frequency were respectively 40 Hz and 15 Hz from the two channels of points P1 and P2, and the pure signal of vehicle control arm was acquired. Then, using rain flow counting method, the load spectrum of the control arm was worked out, and load distribution histogram on the testing points were obtained, and the average value of the load was accordance with the normal distribution, the load amplitude was accordance with the Weibull distribution by using probability map method. Finally, on this basis, according to local stress-strain method and Miner standard, and stress concentration correction factor, the fatigue damage analysis and life prediction were completed for the control arm. That is, some values on the testing points of the control arm were obtained including the total damage, hour life and cycle life, etc. Structural fatigue damage distribution characteristics of the control arm were analyzed. The fatigue notch factor of the control arm two testing points were calculated respectively, and the values were 1.36 and 1.14. The main conclusions were as follows, the load signal frequency domain energy mainly concentrated within 15 Hz, which conformed to the actual frequency distribution of the vehicle body. The larger fatigue damage of the control arm were occurred mainly on vehicle sharp turns under stone road conditions, and the fatigue damage distribution of the control arm was consistent with the stress state under the actual vehicle proving ground road conditions. The final result showed that the prediction life of control arm was 39600 hours by using the ncode glyphworks 8.0 software. The paper provided an important method that combined the finite element analysis with the actual vehicle loading conditions for fatigue endurance study on the vehicle and other parts.