【摘要】 针对木拱桥设计中参数确定困难、仿真建模复杂以及参数设计依赖工匠经验的问题，提出了一种数据-知识混合驱动的木拱桥设计参数两阶段预测模型，该模型融合了SSA-XGBoost模型与专家知识增强的级联前向BP神经网络.首先，收集闽浙两地130余座木拱桥的实测数据，统计并分析其设计参数的分布规律及影响因素；其次，构建基于SSA-XGBoost的木拱桥矢跨比预测模型，利用麻雀搜索算法(SSA)优化超参数，提升模型在复杂回归任务中的预测性能，从而实现对木拱桥矢跨比的准确预测；最后，建立融合专家知识的级联前向BP神经网络，通过专家知识优化损失函数以提高木拱桥各节苗根径范围的预测精度.研究结果表明，该方法在实测数据集上取得了最佳预测精度，与实际木拱桥设计值吻合良好，预测结果与实际设计值误差率不超过8.2%.本文方法可辅助非遗传承人结合传统建造技艺判断木拱桥结构参数的合理性，为中国木拱桥的参数化设计与材料选用提供理论支持与技术手段，具有工程应用价值.更多还原

【Abstract】 Addressing the inherent challenges in determining design parameters, the complexity of simulation modeling, and the over-reliance on craftsmanship experience in the design and construction of timber arch bridges, this study proposes a data-knowledge hybrid-driven two-stage prediction model for parameter estimation.The proposed framework integrates the SSA-XGBoost model with an expert knowledge-enhanced cascade forward BP neural network.Field-measured data from more than 130 timber arch bridges in the Fujian and Zhejiang provinces were collected and subjected to statistical analysis to identify distribution characteristics and key influencing factors of design parameters.In the first stage, an SSA-XGBoost model is developed to predict the rise-span ratio, where the Sparrow Search Algorithm(SSA) is employed to optimize hyperparameters, thereby enhancing prediction performance in complex regression contexts.In the second stage, a cascade forward BP neural network incorporating domain expert knowledge is constructed, with a modified loss function embedding empirical rules to improve prediction accuracy for root diameter ranges.Experimental evaluations on real-measured datasets reveal that the proposed approach delivers superior predictive performance, with predicted values exhibiting high agreement with actual design parameters(error rate<8.2%).The findings demonstrate that this methodology not only facilitates the assessment of structural parameter rationality by intangible cultural heritage inheritors but also supports the preservation of traditional craftsmanship.Furthermore, it offers robust theoretical and technical guidance for the parameterized design and material selection of Chinese timber arch bridges, underscoring its significant engineering applicability.更多还原