2000.9－2005.1，清华大学土木工程系，博士学位

1996.9－2000.7，清华大学土木工程系，学士学位

2012/12－现在，清华大学土木工程系防灾减灾工程研究所，教授

2011/07－2011/09，日本神户大学(Kobe University) 都市安全研究中心， Visiting Associate Professor

2010/10－现在，清华大学土木工程系防灾减灾工程研究所，所长

2008/10－2009/09，美国斯坦福大学(Stanford University) John A. Blume 地震研究中心， Visiting Scholar

2007/12－2012/12，清华大学土木工程系防灾减灾工程研究所，副教授

2005/03－2007/12，清华大学土木工程系防灾减灾工程研究所，讲师

研究生课程《钢筋混凝土有限元》

研究生课程《灾害学》

本科生课程《土木工程与防灾减灾》

本科生课程《韧性城市与基础设施》

科研奖励

[1] 2024年，J. M. Ko Award（1/1）

[2] 2023年，日内瓦发明展主席团特别嘉许金奖（“金+”奖） (1/8)

[3] 2022年，北京市科技进步一等奖 (1/15)

[4] 2022年，香港建造业议会创新奖国际一等奖 (1/5)

[5] 2022年，施普林格-自然出版社“中国新发展奖” (1/2)

[6] 2020年，教育部自然科学一等奖 (1/5)

[7] 2019年，腾讯“科学探索奖”

[8] 2018年，茅以升北京青年科技奖

[9] 2018年，国家科技进步一等奖（创新团队，9/14）

[10] 2014-2024年，Elsevier“中国高被引学者(Most Cited Chinese Researchers)-土木和结构工程学科”

[11] 2013年，国家自然科学二等奖 （2/4）

人才奖励

[1] 2020年，教育部“长江学者奖励计划”新冠疫情特设岗位

[2] 2019年，教育部“长江学者奖励计划”（特聘教授）

[3] 2016年，国家“万人计划”科技创新领军人才

[4] 2015年，教育部“长江学者奖励计划”（青年学者）

[5] 2012年，国家自然科学基金优秀青年科学基金

[6] 2011年，霍英东教育基金会第十三届高等院校青年教师基金

[7] 2010年，教育部新世纪优秀人才支持计划

教学奖励

[1] 2017年，“清华大学年度教学优秀奖”

[2] 2012年，清华大学教学成果一等奖(2/5)

[3] 2008年，“清华大学青年教师教学优秀奖”

结构智能设计、城市综合防灾、结构数值模拟

[1] 《工程力学》，主编

[2] Journal of Structural Engineering-ASCE, Associate Editor

[3] Journal of Computing in Civil Engineering-ASCE, Associate Editor

[4] Earthquake Engineering & Structural Dynamics, Advisory Editorial Board Member

[5] Journal of Earthquake Engineering, Editorial Board Member

[6] Japan Architectural Review, Editorial Board Member

[7] International Society for Computing in Civil and Building Engineering, Alternate Member of Board Directors

[8] 中国地震学会，理事

[9] 中国力学学会，理事；中国力学学会结构工程专业委员会，副主任委员

[10] 中国灾害防御协会，理事

[11] 中国土木工程学会桥梁及结构工程分会，理事

[12] 中国土木工程学会混凝土及预应力混凝土分会，理事

[13] 中国建筑学会建筑结构分会，理事

[14] 建筑结构抗倒塌设计规范（CECS 392），主编

科技部重点研发计划

[1] 主持，国家十四五重点研发计划项目，建筑（群）数字孪生模型推演与虚实交互关键技术研究，2023/12-2026/11

[2] 主持，国家十三五重点研发计划课题，城市地震巨灾情景构建技术，2018/12-2021/12

国家自然科学基金委

[1] 主持，国家自然科学基金重点项目，城市密集建筑群地震灾害链效应与抗灾韧性研究，2023/01-2027/12

北京市、住建部等省部级课题

[1] 主持，北京市自然科学基金面上项目，融合智能生成和智能优化的框架-剪力墙结构设计方法研究，2025/01-2027/12

[2] 参加，北京市科学技术委员会，面向建筑结构设计领域大模型的生成式AI智能设计平台研究及示范应用，2023/09-2025/09

[3] 主持，中华人民共和国住房和城乡建设部科学技术计划项目，基于深度对抗学习的智能生成式建筑结构设计方法研究，2023/01-2025/12

[4] 主持，北京市自然科学基金面上项目，面向“韧性防灾”的地震与连续倒塌综合防御钢框架研究，2018/01-2020/12

专著

[1] Lu XZ, Guan H, Earthquake Disaster Simulation of Civil Infrastructures: From Tall Buildings to Urban Areas (2nd Edition), Singapore: Springer, 2021. ISBN 978-981-15-9531-8. DOI: 10.1007/978-981-15-9532-5.

教材

[1] 陆新征, 蒋庆, 缪志伟, 潘鹏, 建筑抗震弹塑性分析（第二版）, 中国建筑工业出版社, 2015.

[2] 江见鲸, 陆新征, 混凝土结构有限元分析（第二版）, 北京: 清华大学出版社, 2013.

学术刊物

[1] Fei YF, Qin SZ, Liao WJ, Guan H, Lu XZ*, Graph neural network-assisted evolutionary algorithm for rapid optimization design of shear-wall structures, Advanced Engineering Informatics, 2025, 65, Part A: 103129. DOI: 10.1016/j.aei.2025.103129

[2] Qin SZ, Liao WJ, Huang YL, Zhang SL, Gu Y, Han J, Lu XZ*, Intelligent design for component size generation in reinforced concrete frame structures using heterogeneous graph neural networks, Automation in Construction, 2025, 171: 105967. DOI: 10.1016/j.autcon.2025.105967

[3] Gu Y, Huang YL, Liao WJ, Lu XZ*, Intelligent design of shear wall layout based on diffusion models, Computer-Aided Civil and Infrastructure Engineering, 2024, 39(23):3610-3625. DOI: 10.1111/mice.13236

[4] Qin SZ, Guan H, Liao WJ, Gu Y, Zheng Z, Xue HJ, Lu XZ*, Intelligent design and optimization system for shear wall structures based on large language models and generative artificial intelligence, Journal of Building Engineering, 2024, 95: 109996. DOI: 10.1016/j.jobe.2024.109996

[5] Fei YF, Liao WJ, Zhao PJ, Lu XZ*, Guan H, Hybrid surrogate model combining physics and data for seismic drift estimation of shear-wall structures, Earthquake Engineering & Structural Dynamics, 2024, 53(10): 3093-3112. DOI: 10.1002/eqe.4151

[6] Zhao PJ, Liao WJ, Huang YL, Lu XZ*, Beam layout design of shear wall structures based on graph neural networks, Automation in Construction, 2024, 158: 105223. DOI: 10.1016/j.autcon.2023.105223

[7] Liao WJ, Lu XZ*, Fei YF, Gu Y, Huang YL, Generative AI design for building structures, Automation in Construction, 2024, 157: 105187. DOI: 10.1016/j.autcon.2023.105187

[8] Fei YF, Liao WJ, Lu XZ*, Taciroglu E, Guan H, Semi-supervised learning method incorporating structural optimization for shear-wall structure design using small and long-tailed datasets, Journal of Building Engineering, 2023, 79: 107873. DOI: 10.1016/j.jobe.2023.107873

[9] Xu YJ, Lu XZ*, Fei YF, Huang YL, Hysteretic behavior simulation based on pyramid neural network: Principle, network architecture, case study and explanation, Advances in Structural Engineering, 2023, 26(13):2359-2374. DOI:10.1177/13694332231184322

[10] Zhao PJ, Fei YF, Huang YL, Feng YT, Liao WJ, Lu XZ*, Design-condition-informed shear wall layout design based on graph neural networks, Advanced Engineering Informatics, 2023, 58: 102190. DOI: 10.1016/j.aei.2023.102190

[11] Jin XL, Liao WJ, Tian Y, Xie LL, Lu XZ*, Numerical simulation and seismic performance analysis of sacrificial-energy dissipation beam-column joint, Engineering Structures, 2023, 296: 116979. DOI: 10.1016/j.engstruct.2023.116979

[12] Liao WJ, Wang XY, Fei YF, Huang YL, Xie LL, Lu XZ*, Base-isolation design of shear wall structures using physics-rule-co-guided self-supervised generative adversarial networks, Earthquake Engineering & Structural Dynamics, 2023, 52(11): 3281-3303. DOI:10.1002/eqe.3862

[13] Tian Y, Huang YL, Qu Z, Fei YF, Lu XZ*, High-performance uniform damping model for response history analysis in OpenSees, Journal of Earthquake Engineering, 2023, 27(11): 3136-3152. DOI: 10.1080/13632469.2022.2124557

[14] Tian Y, Lu XZ*, Huang DR, Wang T, SCI effects under complex terrains: shaking table tests and numerical simulation, Journal of Earthquake Engineering, 2023, 27(5): 1237-1260. DOI: 10.1080/13632469.2022.2074921

[15] Gu DL, Kareem A, Lu XZ*, Cheng QL, A computational framework for the simulation of wind effects on buildings in a cityscape, Journal of Wind Engineering and Industrial Aerodynamics, 2023, 234:105347. DOI: 10.1016/j.jweia.2023.105347

[16] Sun CJ, Gu DL, Lu XZ*, Three-dimensional structural displacement measurement using monocular vision and deep learning based pose estimation, Mechanical Systems and Signal Processing, 2023, 190: 110141. DOI: 10.1016/j.ymssp.2023.110141

[17] Zhao PJ, Liao WJ, Huang YL, Lu XZ*, Intelligent design of shear wall layout based on graph neural networks, Advanced Engineering Informatics, 2023, 55, 101886, DOI: 10.1016/j.aei.2023.101886

[18] Liao WJ, Fei YF, Ghahari F, Zhang WY, Chen PY, Kurtulus A, Yen CH, Cheng QL, Lu XZ*, Taciroglu E, Influence of accelerometer type on uncertainties in recorded ground motions and seismic damage assessment, Bulletin of Earthquake Engineering, 2022, 20: 4419-4439. DOI: 10.1007/s10518-022-01461-5

[19] Xu YJ, Lu XZ*, Fei YF, Huang YL, Iterative self-transfer learning: A general methodology for response time-history prediction based on small dataset, Journal of Computational Design and Engineering, 2022, 9(5): 2089–2102. DOI:10.1093/jcde/qwac098

[20] Zhao PJ, Liao WJ, Huang YL, Lu XZ*, Intelligent beam layout design for frame structure based on graph neural networks, Journal of Building Engineering, 2023, 63, Part A: 105499. DOI: 10.1016/j.jobe.2022.105499

[21] Zhao PJ, Liao WJ, Huang YL, Lu XZ*, Intelligent design of shear wall layout based on attention-enhanced generative adversarial network, Engineering Structures, 2023, 274, 115170. DOI: 10.1016/j.engstruct.2022.115170

[22] Fei YF, Liao WJ, Huang YL, Lu XZ*, Knowledge-enhanced generative adversarial networks for schematic design of framed tube structures, Automation in Construction, 2022, 144: 104619. DOI: 10.1016/j.autcon.2022.104619

[23] Tian Y, Sun CJ, Lu XZ*, Huang YL, Quantitative analysis of site-city interaction effects on regional seismic damage of buildings. Journal of Earthquake Engineering. 2022, 26(8): 4365-4385. DOI: 10.1080/13632469.2020.1828199

[24] Xu YJ, Lu XZ*, Tian Y, Huang YL, Real-Time seismic damage prediction and comparison of various ground motion intensity measures based on machine learning. Journal of Earthquake Engineering. 2022, 26(8): 4259-4279. DOI: 10.1080/13632469.2020.1826371

[25] Zhao PJ, Liao WJ, Xue HJ, Lu XZ*, Intelligent design method for beam and slab of shear wall structure based on deep learning, Journal of Building Engineering, 2022, 57: 104838. DOI: 10.1016/j.jobe.2022.104838

[26] Lu XZ*, Liao WJ, Zhang Y, Huang YL, Intelligent structural design of shear wall residence using physics-enhanced generative adversarial networks, Earthquake Engineering & Structural Dynamics, 2022, 51(7): 1657-1676. DOI: 10.1002/eqe.3632

[27] Xu YJ, Lu XZ*, Cetiner B, Taciroglu E. Real-time regional seismic damage assessment framework based on long short-term memory neural network. Computer-Aided Civil and Infrastructure Engineering, 2021. 36(4): 504-521. DOI: 10.1111/mice.12628

[28] Lu XZ*, Yang ZB, Xu Z, Xiong C, Scenario simulation of indoor post-earthquake fire rescue based on building information model and virtual reality. Advances in Engineering Software, 2020, 143, 102792. DOI: 10.1016/j.advengsoft.2020.102792

[29] Xiong C, Li QS, Lu XZ*, Automated regional seismic damage assessment of buildings using an unmanned aerial vehicle and a convolutional neural network, Automation in Construction, 2020, 109, 102994. DOI: 10.1016/j.autcon.2019.102994.

[30] Lu XZ*, Zhang L, Lin KQ, Li Y, Improvement to composite frame systems for seismic and progressive collapse resistance, Engineering Structures, 2019, 186: 227-242. DOI: 10.1016/j.engstruct.2019.02.006

[31] Lin KQ, Lu XZ*, Li Y, Guan H, Experimental study of a novel multi-hazard resistant prefabricated concrete frame structure, Soil Dynamics and Earthquake Engineering, 2019, 119: 390-407. DOI: 10.1016/j.soildyn.2018.04.011

[32] Xu Z, Lu XZ*, Zeng X, Xu YJ, Li Y, Seismic loss assessment for buildings with various-LOD BIM data, Advanced Engineering Informatics, 2019, 39: 112-126. DOI: 10.1016/j.aei.2018.12.003

[33] Lu XZ*, Lin KQ, Li CF, Li Y, New analytical calculation models for compressive arch action in reinforced concrete structures, Engineering Structures, 2018, 168: 721-735. DOI: 10.1016/j.engstruct.2018.04.097.

[34] Lu XZ*, Tian Y, Guan H, Xiong C, Parametric sensitivity study on regional seismic damage prediction of reinforced masonry buildings based on time-history analysis, Bulletin of Earthquake Engineering, 2017, 15(11): 4791-4820. DOI: 10.1007/s10518-017-0168-9.

[35] Lu XZ*, Xie LL, Yu C, Lu X, Development and application of a simplified model for the design of a super-tall mega-braced frame-core tube building. Engineering Structures, 2016, 110: 116-126. DOI: 10.1016/j.engstruct.2015.11.039

[36] Lu XZ*, Xie LL, Guan H, Huang YL, Lu X, A shear wall element for nonlinear seismic analysis of super-tall buildings using OpenSees. Finite Elements in Analysis & Design, 2015, 98: 14-25. DOI: 10.1016/j.finel.2015.01.006

[37] Lu XZ*, Han B, Hori M, Xiong C, Xu Z, A coarse-grained parallel approach for seismic damage simulations of urban areas based on refined models and GPU/CPU cooperative computing. Advances in Engineering Software, 2014, 70: 90-103. DOI: 10.1016/j.advengsoft.2014.01.010

[38] Xu LJ, Lu XZ*, Guan H, Zhang YS. Finite-element and simplified models for collision simulation between over-height trucks and bridge superstructures. Journal of Bridge Engineering, ASCE. 2013, 18(11): 1140–1151. DOI:10.1061/(ASCE)BE.1943-5592.0000472

[39] Lu X, Lu XZ*, Guan H, Ye LP, Collapse simulation of reinforced concrete high-rise building induced by extreme earthquakes. Earthquake Engineering & Structural Dynamics, 2013, 42(5): 705-723. DOI:10.1002/eqe.2240

[40] Lu X, Lu XZ*, Zhang WK, Ye LP, Collapse simulation of a super high-rise building subjected to extremely strong earthquakes. Science China-Technological Sciences, 2011. 54(10): p. 2549-2560.

[41] Lu XZ, Teng JG, Ye LP, Jiang JJ, Bond-slip models for FRP sheets/plates bonded to concrete. Engineering Structures, 2005. 27(6): p. 920-937.

[42] Lu XZ, Ye LP, Teng JG, Jiang JJ, Meso-scale finite element model for FRP sheets/plates bonded to concrete. Engineering Structures, 2005. 27(4): p. 564-575.

发明专利

[1] 陆新征, 费一凡, 廖文杰, 基于文本-图像多模态融合扩散模型的建筑结构设计方法，2024/10/29

[2] 陆新征, 赵鹏举, 廖文杰，基于图节点分类图神经网络的剪力墙设计方法和装置，2023/10/31

[3] 陆新征, 廖文杰, 赵鹏举, 费一凡, 基于图像嵌入图神经网络模型的建筑结构布置方法，2023/09/12

[4] 陆新征, 赵鹏举, 廖文杰, 费一凡, 生成式建筑结构设计方案的再优化设计方法和装置，2023/03/24

[5] 陆新征, 廖文杰, 郑哲, 基于对抗生成网络的剪力墙结构布置方法和装置，2021/09/14