土木工程与建筑学院
通讯地址：江苏科技大学长山校区 土木工程与建筑学院
个人邮箱：peipei@just.edu.cn
邮政编码：212100
办公地点：船建楼
传真：
【个人信息】
土木工程硕导 | 土木水利硕导
同济大学博士 | 新加坡国立大学联合培养博士
智能材料研究 | 结构控制 | 基于可靠性的优化设计
【科研项目】
（1）主持国家自然科学基金青年项目
（2）入选江苏省青年科技人才托举工程
【学术 & 兴趣】
u Web of Science终身VIP
u ScienceDirect深夜访客
u 小红书0.0006百万教育博主
u 知乎深海潜水员
u 诺贝尔文学奖读者
u 学术会议茶歇区品鉴师
【加入我们】
欢迎对研究方向感兴趣的土木工程、土木水利专业本科生联系报考。希望你：
Ø 对科研有好奇心，愿意主动探索
Ø 学习态度踏实，能沉下心做事
课题组将根据你的基础和兴趣，系统培养以下技能：
ü 专业软件与编程（MATLAB/Python、有限元分析等）；
ü 学术英语读写与交流；
ü 论文撰写与科研思维训练。
课题组提供国家级课题参与机会、国内外交流平台及优厚科研奖励。期待与你同行！
有意者请邮件联系（peipei@just.edu.cn），附个人简历。
1. 🧠 智能材料研究
聚焦磁流变材料的本构关系与工程应用，开发智能减振装置与自适应结构，赋予工程结构 “感知—决策—响应” 的闭环能力，推动土木工程向智能化迈进。
2. 🏗️ 结构控制
针对高层建筑、大跨桥梁等复杂结构，开展被动 · 主动 · 半主动振动控制研究，提升结构在强震、强风等极端荷载下的 安全性 与 舒适度。
3. 📐 基于可靠性的优化设计
融合可靠度理论与优化算法，考虑材料、荷载等不确定性因素，开展结构 全寿命周期性能设计 与 韧性提升策略 研究。
1. 江苏科技大学第四届青年教师英文讲课比赛（2025） 特等奖
2. 土木工程与建筑学院第九届教师教学竞赛（2025） 一等奖
Ø Pei P, Zhou T, and Shrestha S. Field-driven microstructure evolution and dynamic properties of magnetorheological elastomers: insights from coarse-grained molecular dynamics [J]. Smart Materials and Structures. 2026, 35(1): 015034.
Ø Pei P, Zhou T, Zhu X, et al. Multi-point Bayesian active learning line sampling for rare event estimation [J]. Reliability Engineering & System Safety, 2025: 112136.
Ø Pei P, Quek S T, Zhou T, et al. Fast parallel active learning for reliability-based design optimization of magnetorheological damper-controlled structures[J]. Structural and Multidisciplinary Optimization, 2025, 68(7): 132.
Ø Pei P, Quek ST, Peng Y. Multi-objective reliability-based design optimization of fuzzy logic control for MR damper-based structures [J]. Structural Control and Health Monitoring, 2023, 2023: 4009397.
Ø Pei P, Zhou T. One-step look-ahead policy for active learning reliability analysis [J]. Reliability Engineering and System Safety, 2023, 236: 109312.
Ø Pei P, Quek ST, Peng Y. Enriched global-local multi‑objective optimization scheme for fuzzy logic controller-driven magnetorheological damper-based structural system [J]. Mechanical Systems and Signal Processing, 2023, 193: 110267.
Ø Pei P, Peng Y, Qiu C. An improved semi-active structural control combining optimized fuzzy controller with inverse modeling technique of MR damper [J]. Structural and Multidisciplinary Optimization, 2022, 65: 272.
Ø Pei P, Peng Y. The squeeze strengthening effect on the rheological and microstructured behaviors of magnetorheological fluids: a molecular dynamics study [J]. Soft Matter, 2021, 17: 184-200.
Ø Pei P, Peng Y. A modified approach to dissipative particle dynamics for simulating magnetorheological suspensions in Couette and Poiseuille flows [J]. International Journal of Applied Mechanics, 2021, 13(8): 2150087.
Ø Pei P, Peng Y, Qiu C. Magnetorheological damper modeling based on a refined constitutive model for MR fluids [J]. Journal of Intelligent Material Systems and Structures, 2021, 33(10): 1271-1291.
Ø Pei P, Peng Y. Constitutive modeling of magnetorheological fluids: a review [J]. Journal of Magnetism and Magnetic Materials, 2022, 550: 169076.
Ø Peng Y, Pei P. Microstructure evolution based particle chain model for shear yield stress of magnetorheological fluids [J]. Journal of Intelligent Material Systems and Structures, 2021, 32(1): 49-64.
Ø Pei P, Zheng S, et al. Overview on the bonding of reinforced concrete under pristine, corrosive and freeze-thaw conditions [J]. Journal of Adhesion Science and Technology, 2019, 33(7): 761-789.
Ø 裴培, 彭勇波. 基于分子动力学的磁流变液微观结构演化模拟与动态聚合分析[J]. 材料导报, 2021, 35(12): 12001-12007.
Ø 郑山锁, 裴培, 等. 钢筋混凝土粘结滑移研究综述[J]. 材料导报, 2018, 32(12): 4182-4191.
Ø Pei P, Quek ST, Peng Y. Two-stage enriched multi-objective optimization scheme for fuzzy logic controller-driven structural systems with magnetorheological dampers. The 4th International Conference on Vulnerability and Risk Analysis and Management (ICVRAM 2024) the 8th International Symposium on Uncertainty Modelling and Analysis (ISUMA 2024), April 25-28, 2024, Shanghai, China.
Ø Pei P, Peng Y. Molecular dynamics simulation based squeeze strengthening effect analysis of magnetorheological fluids [C]// The 24th Annual Conference of HKSTAM 2020 and the 16th Shanghai–Hong Kong Forum on Mechanics and Its Application, December, 2020.
Ø Pei P, Peng Y. A Modified Dissipative Particle model for Microstructural investigation of Magnetorheological (MR) Fluids in Couette and Poiseuille Flows [C]// 中国力学学会第二届全国力学博士生学术论坛, 2021年10月，杭州.
1. 江苏科技大学第四届青年教师英文讲课比赛（2025） 特等奖
2. 土木工程与建筑学院第九届教师教学竞赛（2025） 一等奖
Ø Pei P, Zhou T, and Shrestha S. Field-driven microstructure evolution and dynamic properties of magnetorheological elastomers: insights from coarse-grained molecular dynamics [J]. Smart Materials and Structures. 2026, 35(1): 015034.
Ø Pei P, Zhou T, Zhu X, et al. Multi-point Bayesian active learning line sampling for rare event estimation [J]. Reliability Engineering & System Safety, 2025: 112136.
Ø Pei P, Quek S T, Zhou T, et al. Fast parallel active learning for reliability-based design optimization of magnetorheological damper-controlled structures[J]. Structural and Multidisciplinary Optimization, 2025, 68(7): 132.
Ø Pei P, Quek ST, Peng Y. Multi-objective reliability-based design optimization of fuzzy logic control for MR damper-based structures [J]. Structural Control and Health Monitoring, 2023, 2023: 4009397.
Ø Pei P, Zhou T. One-step look-ahead policy for active learning reliability analysis [J]. Reliability Engineering and System Safety, 2023, 236: 109312.
Ø Pei P, Quek ST, Peng Y. Enriched global-local multi‑objective optimization scheme for fuzzy logic controller-driven magnetorheological damper-based structural system [J]. Mechanical Systems and Signal Processing, 2023, 193: 110267.
Ø Pei P, Peng Y, Qiu C. An improved semi-active structural control combining optimized fuzzy controller with inverse modeling technique of MR damper [J]. Structural and Multidisciplinary Optimization, 2022, 65: 272.
Ø Pei P, Peng Y. The squeeze strengthening effect on the rheological and microstructured behaviors of magnetorheological fluids: a molecular dynamics study [J]. Soft Matter, 2021, 17: 184-200.
Ø Pei P, Peng Y. A modified approach to dissipative particle dynamics for simulating magnetorheological suspensions in Couette and Poiseuille flows [J]. International Journal of Applied Mechanics, 2021, 13(8): 2150087.
Ø Pei P, Peng Y, Qiu C. Magnetorheological damper modeling based on a refined constitutive model for MR fluids [J]. Journal of Intelligent Material Systems and Structures, 2021, 33(10): 1271-1291.
Ø Pei P, Peng Y. Constitutive modeling of magnetorheological fluids: a review [J]. Journal of Magnetism and Magnetic Materials, 2022, 550: 169076.
Ø Peng Y, Pei P. Microstructure evolution based particle chain model for shear yield stress of magnetorheological fluids [J]. Journal of Intelligent Material Systems and Structures, 2021, 32(1): 49-64.
Ø Pei P, Zheng S, et al. Overview on the bonding of reinforced concrete under pristine, corrosive and freeze-thaw conditions [J]. Journal of Adhesion Science and Technology, 2019, 33(7): 761-789.
Ø 裴培, 彭勇波. 基于分子动力学的磁流变液微观结构演化模拟与动态聚合分析[J]. 材料导报, 2021, 35(12): 12001-12007.
Ø 郑山锁, 裴培, 等. 钢筋混凝土粘结滑移研究综述[J]. 材料导报, 2018, 32(12): 4182-4191.
Ø Pei P, Quek ST, Peng Y. Two-stage enriched multi-objective optimization scheme for fuzzy logic controller-driven structural systems with magnetorheological dampers. The 4th International Conference on Vulnerability and Risk Analysis and Management (ICVRAM 2024) the 8th International Symposium on Uncertainty Modelling and Analysis (ISUMA 2024), April 25-28, 2024, Shanghai, China.
Ø Pei P, Peng Y. Molecular dynamics simulation based squeeze strengthening effect analysis of magnetorheological fluids [C]// The 24th Annual Conference of HKSTAM 2020 and the 16th Shanghai–Hong Kong Forum on Mechanics and Its Application, December, 2020.
Ø Pei P, Peng Y. A Modified Dissipative Particle model for Microstructural investigation of Magnetorheological (MR) Fluids in Couette and Poiseuille Flows [C]// 中国力学学会第二届全国力学博士生学术论坛, 2021年10月，杭州.
1. 江苏科技大学第四届青年教师英文讲课比赛（2025） 特等奖
2. 土木工程与建筑学院第九届教师教学竞赛（2025） 一等奖
Ø Pei P, Zhou T, and Shrestha S. Field-driven microstructure evolution and dynamic properties of magnetorheological elastomers: insights from coarse-grained molecular dynamics [J]. Smart Materials and Structures. 2026, 35(1): 015034.
Ø Pei P, Zhou T, Zhu X, et al. Multi-point Bayesian active learning line sampling for rare event estimation [J]. Reliability Engineering & System Safety, 2025: 112136.
Ø Pei P, Quek S T, Zhou T, et al. Fast parallel active learning for reliability-based design optimization of magnetorheological damper-controlled structures[J]. Structural and Multidisciplinary Optimization, 2025, 68(7): 132.
Ø Pei P, Quek ST, Peng Y. Multi-objective reliability-based design optimization of fuzzy logic control for MR damper-based structures [J]. Structural Control and Health Monitoring, 2023, 2023: 4009397.
Ø Pei P, Zhou T. One-step look-ahead policy for active learning reliability analysis [J]. Reliability Engineering and System Safety, 2023, 236: 109312.
Ø Pei P, Quek ST, Peng Y. Enriched global-local multi‑objective optimization scheme for fuzzy logic controller-driven magnetorheological damper-based structural system [J]. Mechanical Systems and Signal Processing, 2023, 193: 110267.
Ø Pei P, Peng Y, Qiu C. An improved semi-active structural control combining optimized fuzzy controller with inverse modeling technique of MR damper [J]. Structural and Multidisciplinary Optimization, 2022, 65: 272.
Ø Pei P, Peng Y. The squeeze strengthening effect on the rheological and microstructured behaviors of magnetorheological fluids: a molecular dynamics study [J]. Soft Matter, 2021, 17: 184-200.
Ø Pei P, Peng Y. A modified approach to dissipative particle dynamics for simulating magnetorheological suspensions in Couette and Poiseuille flows [J]. International Journal of Applied Mechanics, 2021, 13(8): 2150087.
Ø Pei P, Peng Y, Qiu C. Magnetorheological damper modeling based on a refined constitutive model for MR fluids [J]. Journal of Intelligent Material Systems and Structures, 2021, 33(10): 1271-1291.
Ø Pei P, Peng Y. Constitutive modeling of magnetorheological fluids: a review [J]. Journal of Magnetism and Magnetic Materials, 2022, 550: 169076.
Ø Peng Y, Pei P. Microstructure evolution based particle chain model for shear yield stress of magnetorheological fluids [J]. Journal of Intelligent Material Systems and Structures, 2021, 32(1): 49-64.
Ø Pei P, Zheng S, et al. Overview on the bonding of reinforced concrete under pristine, corrosive and freeze-thaw conditions [J]. Journal of Adhesion Science and Technology, 2019, 33(7): 761-789.
Ø 裴培, 彭勇波. 基于分子动力学的磁流变液微观结构演化模拟与动态聚合分析[J]. 材料导报, 2021, 35(12): 12001-12007.
Ø 郑山锁, 裴培, 等. 钢筋混凝土粘结滑移研究综述[J]. 材料导报, 2018, 32(12): 4182-4191.
Ø Pei P, Quek ST, Peng Y. Two-stage enriched multi-objective optimization scheme for fuzzy logic controller-driven structural systems with magnetorheological dampers. The 4th International Conference on Vulnerability and Risk Analysis and Management (ICVRAM 2024) the 8th International Symposium on Uncertainty Modelling and Analysis (ISUMA 2024), April 25-28, 2024, Shanghai, China.
Ø Pei P, Peng Y. Molecular dynamics simulation based squeeze strengthening effect analysis of magnetorheological fluids [C]// The 24th Annual Conference of HKSTAM 2020 and the 16th Shanghai–Hong Kong Forum on Mechanics and Its Application, December, 2020.
Ø Pei P, Peng Y. A Modified Dissipative Particle model for Microstructural investigation of Magnetorheological (MR) Fluids in Couette and Poiseuille Flows [C]// 中国力学学会第二届全国力学博士生学术论坛, 2021年10月，杭州.
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邮编：212100
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