岳攀,林威伟,吴斌平,王佳俊

• 1:天津大学水利工程仿真与安全国家重点实验室
• 2:雅砻江流域水电开发有限公司

摘要(Abstract)：

为了提高高寒地区心墙堆石坝压实质量评价的精确度、泛化能力和鲁棒性,保证大坝施工质量,在考虑寒区气象参数的基础上,提出基于自适应灰狼优化支持向量机回归算法的压实质量评价模型。首先,在压实质量评价模型建立过程中考虑温度、湿度等气象参数的影响。其次,采用ACGWO对SVR的惩罚因子和核参数进行寻优,以提高支持向量机参数选择效率及泛化能力,进而建立基于ACGWO-SVR的压实质量评价模型;其中,ACGWO采用自适应缩放因子和混沌理论优化灰狼算法,克服了传统灰狼算法收敛速度较慢、易陷入局部最优等问题。最后,以某高寒地区心墙堆石坝工程为例,并与线性回归、BPNN以及SVR方法进行对比分析。结果表明:基于ACGWO-SVR的压实质量评价模型具有更高的精度、更好的泛化能力和鲁棒性,适用于寒区工程质量评价。

关键词(KeyWords)： 压实质量评价;自适应灰狼优化支持向量机回归算法;高寒地区;心墙堆石坝;鲁棒性

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划(2018YFC0406706);; 国家自然基金-雅砻江联合基金(U1965207);; 国家自然科学基金(51779169)

作者(Author): 岳攀,林威伟,吴斌平,王佳俊

DOI: 10.13928/j.cnki.wrahe.2021.11.010

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