基于模糊理论的沥青路面热风加热多参数优化

为了优化就地热再生热风加热参数，提高热风加热沥青路面的加热效果，基于有限元方法，建立了热风加热装置加热沥青路面的模型，模拟计算了热风加热沥青路面的过程，通过试验验证了仿真模型及参数设置的正确性。采用正交试验设计方法研究了热风温度、热风速度、出风孔离地高度对加热效果的影响。提出了基于模糊理论的热风加热效果评价方法，引入综合模糊评价指标代替沥青路面温度场、对流换热系数和加热过程中的能量利用率等单一评价指标对沥青路面加热效果进行评价，采用独立性权系数法确定了各指标的权重系数，仿真分析验证了综合模糊指标评价方法的有效性。结果表明：在加热装置的设计参数范围内，热风温度对沥青路面表面温度及分布均匀性影响最大，热风速度对换热系数影响最大，出风孔离地高度对能量利用率影响最大。以沥青路面温度场、对流换热系数和能量利用率等单一指标为优化目标获得的最佳加热参数组合，仅能保证各自指标最优，但其他指标较差；以综合模糊评价指标E_CFI为优化目标得到的最佳热风加热参数组合，可以同时获得较好的沥青路面温度场、对流换热系数和能量利用率。研究方法和结论为沥青路面热风加热参数的选择和加热效果的评价提供了一种有效可行的途径。

Multi-parameter Optimization of Hot Air Heating for Asphalt Pavement Based on Fuzzy Theory

To optimize the parameters of hot air in hot in-place recycling and improve the effect of hot air heating asphalt pavement, a heat transfer model for heating asphalt pavement using a hot air heating device was established based on the finite element method to simulate the hot air heating process of asphalt pavement. The accuracy of the simulation model and parameter setting were verified experimentally. The influence of air outlet hot air temperature, air outlet hot air velocity, and height between the outlet orifice plate and the asphalt pavement surface on the heating effect were studied using an orthogonal experiment design. A multi-parameter optimization method of hot air heating based on fuzzy theory was proposed to evaluate the hot air heating effect. The comprehensive fuzzy index was introduced to replace the single evaluation index of asphalt pavement, such as the temperature field, convective heat transfer coefficient, and energy utilization rate in the heating process of asphalt pavement, and the weight coefficient of every single index is determined by the independent weight coefficient method. The simulation results were compared to verify the effectiveness of the proposed method. The results show that in the range of design parameters, the air outlet hot air temperature has the most significant influence on the temperature and distribution uniformity of the asphalt pavement surface. The air outlet hot air velocity has the most significant influence on the convective heat transfer coefficient, and the height of the outlet orifice plate above the ground has the most significant influence on the energy utilization rate. The optimized combinations obtained by targeting single indicators such as the asphalt pavement temperature field, convective heat transfer coefficient, and energy utilization rate, only reached the best values under their respective optimization indicators, but other indicators were poor. Taking the comprehensive fuzzy evaluation index E_CFI as the optimization objective, the optimal combination of hot air heating parameters is obtained, which can achieve a better temperature field, flow field, and energy utilization rate simultaneously. This method provides an effective and feasible method for selecting hot air heating parameters and evaluating the heating effect of asphalt pavements.