首页|基于通用生成函数法的CFRP防撞梁碰撞可靠性设计优化

基于通用生成函数法的CFRP防撞梁碰撞可靠性设计优化

扫码查看
为满足汽车耐撞性与轻量化的要求,对碳纤维增强复合材料(CFRP)防撞梁进行可靠性优化设计(RBDO)。以CFRP防撞梁关键控制点横坐标、厚度以及铺层角度为设计变量,以碰撞力峰值为约束条件,以比吸能最大为目标构建优化模型。采用拉丁超立方法与克里金(Kriging)代理模型法相结合拟合出目标及约束函数的Kriging近似模型,采用通用生成函数(UGF)-直接映射法来进行碰撞可靠性优化设计。结果表明:在随机变量非止态、功能函数高度非线性的情况下,传统矩方法无法保证收敛,蒙特卡罗法精度最高但计算成本过大,使用UGF进行可靠性分析优化时收敛稳定,在保证精度的同时效率较高;引入非均匀聚类技术的UGF法效率进一步提高,采用UGF法得到的优化结果相较于初始目标值优化幅度达21。6%,达到预期效果。
Crash Reliability-Based Design Optimization of CFRP Anti-Collision Beam Based on Universal Generating Function
In order to meet the requirements of automotive crashworthiness and lightweight,the reliability optimization design of CFRP anti-collision beam was conducted.With the abscissa,thickness and ply angle of the key control points of the CFRP anti-collision beam as the design variables,and the peak impact force as the constraint conditions,an optimization model was built to maximize the specific energy absorption of the anti-collision beam.The Kriging approximation model of the objective function and the constraint function was obtained by fitting the data with the Latin superelevation method.The UGF-direct mapping method was used for the crash reliability optimization design.The results show that when the random variables are not normal and the function is highly nonlinear,the traditional moment method cannot ensure convergence,the Monte Carlo method has the highest accuracy,but the calculation cost is too high.The reliability analysis and optimization using UGF can ensure stable convergence,and the efficiency is also very high while ensure accuracy.At the same time,the UGF method combined with the non-uniform clustering technology further improves the efficiency.Compared with the initial target value,the optimization magnitude obtained by UGF method reaches 21.6%,reaching the expected effect.

CFRPUniversal generating functionCrashworthinessReliability-based design optimizationNon-uniform clusteringKriging

刘展鹏、周金宇

展开 >

盐城工学院,盐城 224000

金陵科技学院,南京 211169

碳纤维增强复合材料 通用生成函数法 耐撞性 可靠性设计优化 非均匀聚类 Kriging模型

国家自然科学基金面上项目江苏省自然科学基金盐城工学院研究生实践创新计划

52075232BK20201112SJCX21_XY001

2024

汽车技术
中国汽车工程学会 长春汽车研究所

汽车技术

CSTPCD北大核心
影响因子:0.522
ISSN:1000-3703
年,卷(期):2024.(1)
  • 17