河北地质大学学报2025，Vol.48Issue(2)：13-20,8.DOI:10.13937/j.cnki.hbdzdxxb.2025.02.002
鲸鱼优化算法在岩体结构面产状分组中的应用
Application of Whale Optimization Algorithm on Orientation Grouping of Structural Planes in Rock masses
摘要
Abstract
The grouping of structural planes is a fundamental task in the investigation,design,and stability analysis of rock mass engineering.The rationality and accuracy of the grouping results directly affect the scientific and safety aspects of engineering design.Traditional clustering algorithms,such as K-means clustering,can achieve the grouping of structural planes to some extent,but their clustering accuracy and computational efficiency are insufficient.To address this,this paper proposes a structural plane orientation grouping method based on the Whale Optimization Algorithm(WOA).This method treats the structural plane grouping problem as an optimization problem,constructing an appropriate objective function and utilizing the WOA algorithm to achieve automatic grouping of structural planes.Through comparative analysis of two engineering cases,it has been verified that the WOA algorithm outperforms the Particle Swarm Optimization(PSO)and Flower Pollination Algorithm(FPA)in terms of convergence speed and achievement rate.This study provides a new method for structural plane orientation grouping,demonstrating excellent prospects for engineering application.关键词
鲸鱼优化算法/结构面产状/产状分组/轮廓系数Key words
Whale Optimization Algorithm/structural surface orientation/orientation grouping/silhouette coefficient分类
建筑与水利引用本文复制引用
王琦,王晓明,刘伟文,邵文娅..鲸鱼优化算法在岩体结构面产状分组中的应用[J].河北地质大学学报,2025,48(2):13-20,8.基金项目
国家自然科学基金项目(41902298) （41902298）
河北省自然科学基金项目(D2019403151) （D2019403151）
河北地质大学国家预研项目(KY2024YB05) （KY2024YB05）
