Health diagnosis of concrete dams using hybrid FWA with RBF-based surrogate model

• 作 者: Si-qi Dou Jun-jie Li Fei Kang
• 机 构: SchoolofHydraulicEngineering,CollegeofWaterConservancyandHydropowerEngineering
• 出 处: 水科学与水工程:英文版
• 发表日期: 2019年3期
• 关键词: FIREWORKS algorithm(FWA) RADIAL BASIS function (RBF) network Surrogate model INV
• 基金项目: the National Key Research and Development Program of China (Grants No.2016YFC0401600 and 2017YFC0404906),the National Natural Science Foundation of China (Grants No.51769033 and 51779035),the Fundamen

Structural health monitoring is important to ensuring the health and safety of dams.An inverse analysis method based on a novel hybrid fireworks algorithm (FWA) and the radial basis function (RBF) model is proposed to diagnose the health condition of conc