工艺与制造英文2021
高斯过程回归模型预测FRP与混凝土粘结强度的性能评估
Performance assessment of gaussian process regression to predict the bond strength of FRP sheets to concrete
Nguyen Thuy Anh, Ly Hai Bang
摘要整理
本研究提出了一种高斯过程回归（GPR）模型用于预测FRP与混凝土的粘结强度。采用单搭接剪切试验数据预测外贴FRP系统与混凝土棱柱的粘结强度。建立了包含150组已发表实验数据的数据库，用于GPR模型的训练和测试阶段，包含6个输入参数：混凝土棱柱宽度、混凝土抗压强度、FRP厚度、FRP宽度、FRP长度和FRP弹性模量。预测问题的输出参数为粘结强度。采用决定系数、均方根误差（RMSE）和平均绝对误差（MAE）三个统计指标，对GPR模型在500次模拟中的性能进行评估。研究结果表明，与实验结果相比，GPR模型为预测FRP与混凝土粘结强度提供了一种高效的替代方法，具有较好的预测精度和泛化能力。该模型可为FRP加固混凝土结构的工程设计提供技术支持。
相关论文
A review of recent developments in natural fibre composites and their mechanical performance
Composites Part A Applied Science and Manufacturing · 2015
Non-invasive electrical and magnetic stimulation of the brain, spinal cord, roots and peripheral nerves: Basic principles and procedures for routine clinical and research application. An updated report from an I.F.C.N. Committee
Clinical Neurophysiology · 2015
Lignocellulosic biomass: a sustainable platform for the production of bio-based chemicals and polymers
Polymer Chemistry · 2015
Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints
CIRP Annals · 2016
Nanoimprint Lithography: Methods and Material Requirements
Advanced Materials · 2007
Nanocomposites: synthesis, structure, properties and new application opportunities
Materials Research · 2009
← 返回论文库整理：复材站编辑部