骆欢,副教授,博导。
一、主要研究方向
钢筋混凝土结构非线性地震分析、数据驱动计算、人工智能和机器学习、风险量化、优化计算
二、教育背景
2017/09-2020/12,Texas A&M University,College Station,土木工程,博士
2014/09-2017/07,中国地震局工程力学研究所,结构工程,硕士
2010/09-2014/07,黄河科技学院,土木工程,学士
三、工作履历
2022/01-至今,三峡大学,土木与建筑学院,副教授
2022/01-至今,三峡大学,土木与建筑学院、三峡数学研究中心,副教授
四、近五年主持或承担主要科研项目
1.国家自然科学基金青年项目,52208485,塑性力学引导支持向量机的智能钢筋混凝土框架非线性地震响应预测 2022/01-2024/12
五、代表性论文
[1] Luo, H., & Paal, S. G. (2023). A novel outlier-insensitive local support vector machine for robust data-driven forecasting in engineering. Engineering with Computers, Springer, 1-19.
[2] Luo, H., & Paal, S. G. (2023). A data‐free, support vector machine‐based physics‐driven estimator for dynamic response computation. Computer‐Aided Civil and Infrastructure Engineering, Wiley,38(1), 26-48.
[3] Luo, H., & Paal, S. G. (2022). Data-driven seismic response prediction of structural components. Earthquake Spectra, 38(2), 1382-1416.
[4] Luo, H., & Paal, S. G. (2022). Artificial intelligence-enhanced seismic response prediction of reinforced concrete frames. Advanced Engineering Informatics, 52, 101568.
[5] Luo, H., & Paal, S. G. (2021). Reducing the effect of sample bias for small data sets with double‐weighted support vector transfer regression. Computer‐Aided Civil and Infrastructure Engineering, Wiley, 36(3), 248-263.