报告人简介：工学博士，北京工业大学建筑工程学院研究员（博士生导师），国家“海外高层次青年人才引进计划”入选者，德国洪堡学者。曾先后在中南大学、清华大学、日本神奈川大学和德国多特蒙德工业大学学习与从事研究工作，具备多元化的学术背景与广阔的国际化科研视野。主要研究方向为信息不完备及更新条件下的工程结构可靠度评估，长期致力于结构可靠性设计、不确定性量化、贝叶斯更新等相关领域的方法研究，在理论方法构建与分析方面做了大量的工作。目前担任多家知名SCI期刊青年编委，同时长期担任多家权威SCI期刊审稿专家。承担或完成的国家项目：主持国家自然科学基金海外优秀青年基金，德国洪堡博士后基金项目。代表性成果内容简介：在《Structural Safety》《Reliability Engineering & System Safety》《Computer Methods in Applied Mechanics and Engineering》等国际顶级SCI期刊发表学术近30篇，出版英文专著章节1章。相关论文获国际会议APSSRA2020学生论文奖、国际会议IEMForum2020优秀论文奖、国际会议ISRERM2022最佳论文奖。

研究方向：结构可靠度分析与设计; 结构模型更新与数字孪生; 结构抗震减灾与性能优化

报告简介：Load and Resistance Factor Design (LRFD) provides a rational framework for reliability-based limit state design and has been widely adopted in many countries, including the United States, Europe, Canada, and Japan. The First-Order Reliability Method (FORM) is commonly used to determine load and resistance factors; however, it requires the identification of design points and involves complex double-iterative computations, making it cumbersome for practical engineering applications. This study proposes a simple and accurate approach for determining load and resistance factors using the three-moment transformation. The proposed method eliminates the need for derivative-based iterations and does not rely on the full probabilistic distributions of random variables. Furthermore, it achieves sufficient accuracy across a wide range of target reliability indices. Hence, the method offers an efficient and convenient alternative for practical LRFD applications. Numerical examples are provided to demonstrate the proposed method’s accuracy and computational efficiency, with FORM serving as a benchmark for comparison.