海洋测绘2025，Vol.45Issue(5)：42-47,6.DOI:10.3969/j.issn.1671-3044.2025.05.009
基于DBN-GA-Adam混合算法的锤击能量动态优化研究
Research on dynamic optimization of impact energy based on DBN-GA-Adam hybrid algorithm
摘要
Abstract
To overcome the theoretical constraints of conventional GRLWEAP software in dynamic hammer energy optimization and its adaptability to sudden geological parameter changes,this study introduces a hybrid algorithmic model.This model integrates a Dynamic Bayesian Network(DBN),a Genetic Algorithm(GA),and Adaptive Moment Estimation(Adam).A dynamic soil resistance function was formulated within a multi-physics coupled framework,utilizing DBN for real-time parameter correction to quantify the impact of stratigraphic uncertainty on hammer energy.Moreover,the integration of GA's global search and Adam's adaptive learning mechanisms systematically addressed the nonlinear optimization challenges between hammer energy and geological responses.Engineering validation at the Huizhou Offshore Wind Farm demonstrates the model's superior performance,achieving high consistency(R=0.9999,p＜0.01)and reducing the average relative error by two orders of magnitude compared to GRLWEAP(from 0.481％to 0.004％).This research provides a high-precision decision-making tool for pile driving under complex geological conditions and establishes a methodological paradigm for dynamic optimization studies,advancing intelligent construction in marine engineering.关键词
工程地质/桩基施工/DBN-GA-Adam算法/动态参数修正/锤击能量优化/多物理场耦合Key words
engineering geology/pile foundation construction/DBN-GA-Adam algorithm/dynamic parameter correction/impact energy optimization/multi-physics field coupling分类
天文与地球科学引用本文复制引用
陈建均,杨泽..基于DBN-GA-Adam混合算法的锤击能量动态优化研究[J].海洋测绘,2025,45(5):42-47,6.基金项目
广东省重点领域研发计划项目(2021B0101230004). （2021B0101230004）
