姜言
硕士生导师
副教授
***
xnjtjiangyan@163.com
土木工程学院
个人简介

1988年,副教授,工学博士,博士后,中国可再生能源协会会员,主要从事桥梁智能监测与评估、山区桥梁防灾减灾、桥梁与结构风工程研究。主持国家自然科学基金、重庆市自然科学基金、中央高校项目以及横向课题等4项。在国际和国内权威期刊上共发表论文近30篇(一作/通讯21篇,中科院1区论文14篇、2区论文9篇、ESI高被引3篇)。其中,SCI论文26篇、EI论文3篇;授权发明专利5项、软件著作权1项。担任国际SCI期刊Buildings客座主编、国际SCI期刊Frontiers in Built Environment编辑;担任第十二届全国随机振动理论与应用学术会议暨第九届全国随机动力学学术会议组委会成员与分会场主席;担任10多本国内与国际权威期刊的审稿人(包括《Energy Conversion and Management》、《Mechanical Systems and Signal Processing》、《Journal of Wind Engineering and Industrial Aerodynamics》、《Engineering structures》、《Journal of Sound and Vibration》、《Energy》、《Applied energy》、《Energy reports》、《Wind and structures》等)。

教育背景

2008.09至2012.06   重庆交通大学    学士   专业:桥梁工程

2013.09至2014.09   西南交通大学    硕士   专业:桥梁与隧道工程

2014.09至2019.06   西南交通大学    博士   专业:桥梁与隧道工程

2017.01至2018.02   美国Texas Tech University  联合培养博士(国家留学基金委资助)

工作经历:

2019.07至2022.06            西南大学工程技术学院         讲师

2022.07至2025.02                     西南大学工程技术学院         副教授

2025.02至今                     重庆交通大学国家重点实验室         副教授

代表性论文   

[1]       Jiang, Y, Huang G*. Short-term wind speed prediction: Hybrid of ensemble empirical mode decomposition, feature selection and error correction. Energy Conversion and Management 144 (2017): 340-350. (中科院1区、Top期刊)

[2]       Jiang, Y, Huang G*, Peng X, Li Y, Yang, Q. A novel wind speed prediction method: Hybrid of correlation-aided DWT, LSSVM and GARCH. Journal of Wind Engineering and Industrial Aerodynamics, 174 (2018), 28-38. (中科院2区)

[3]       Jiang Y, Huang G*, Yang Q, Zhang C, Yan Z. A novel probabilistic wind speed prediction approach using real time refined variational model decomposition and conditional kernel density estimation. Energy Conversion and Management, 185 (2019): 758-773 (中科院1区、Top期刊)

[4]       Huang G, Jiang Y, Peng L*, Solari G, Liao H, Li M. Characteristics of Intense Wind in Mountain Area Based on Field Measurement : Focusing on thunderstorm winds. Journal of Wind Engineering and Industrial Aerodynamics 2019, 190, 166-182. (中科院2区)

[5]       Jiang, Y., Zhao, N., Peng, L., Liu, S. A new hybrid framework for probabilistic wind speed prediction using deep feature selection and multi-error modification. Energy Conversion and Management, 199 (2019), 119881. (中科院1区,Top期刊)

[6]       Jiang, Y., Zhao, N., Peng, L., Zhao, L., Liu, M. Simulation of stationary wind field based on adaptive interpolation-enhanced scheme. Journal of Wind Engineering and Industrial Aerodynamics, 195 (2019), 104001. (中科院1区)

[7]       Jiang, Y., Liu, S., Peng, L., Zhao, N. A novel wind speed prediction method based on robust local mean decomposition, group method of data handling and conditional kernel density estimation. Energy Conversion and Management, 200 (2019), 112099. (中科院1区,Top期刊)

[8]       Jiang, Y., Liu, S., Zhao, N., Xin, J., Wu, B. Short-term wind speed prediction using time varying filter-based empirical mode decomposition and group method of data handling-based hybrid model. Energy Conversion and Management, 220 (2020), 113076. (中科院1区,Top期刊)

[9]       Jiang, Y., Zhao, N., Peng, L., Xin, J., Liu, S. Fast simulation of fully non-stationary wind fields using a new matrix factorization assisted interpolation method. Mechanical Systems and Signal Processing, 2022, 172, 108973. (中科院1区,Top期刊)

[10]    Jiang Y., Hui, Y., Wang, Y., Peng, L., Huang, G., Liu, S. A novel eigenvalue-based iterative simulation method for multi-dimensional homogeneous non-Gaussian stochastic vector fields. Structural safety, 2023, 100, 102290. (中科院1区,Top期刊)

[11]    Zhou, S., Jiang, Y.(通讯作者), Li, X., Wu, Q. VIBRATION-BASED DAMAGE IDENTIFICATION OF REINFORCED CONCRETE ARCH BRIDGES USING KALMAN–ARMA–GARCH MODEL. International Journal of Robotics and Automation, 2021, 36. (中科院4区)

[12]    Zhao, N., Jiang, Y.(通讯作者), Peng, L., Chen, X. Fast simulation of nonstationary wind velocity fields by proper orthogonal decomposition interpolation. Journal of Wind Engineering and Industrial Aerodynamics, 219 (2021), 104798. (中科院1区)

[13]    Xin, J., Jiang, Y.(通讯作者), Zhou, J., Peng, L., Liu, S., Tang, Q. Bridge deformation prediction based on SHM data using improved VMD and conditional KDE. Engineering Structures, 2022, 261, 114285. (中科院2区,Top)

[14]    Tang, Q., Xin, J., Jiang, Y.(通讯作者), Zhou, J., Li, S., Fu, L. Fast identification of random loads using the transmissibility of power spectral density and improved adaptive multiplicative regularization. Journal of Sound and Vibration, 2022, 117033. (中科院2区,Top)

[15]    Tang, Q., Xin, J., Jiang, Y.(通讯作者), Zhou, J., Li, S., Chen, Z. Novel identification technique of moving loads using the random response power spectral density and deep transfer learning. Measurement, 2022, 195, 111120. (中科院2区, ESI高被引)

[16]    Chen, X., Jiang, Y.(通讯作者), Zhao, N., Jia, S., Wang, X., Tan, S. Simulation of stationary and nonstationary wind velocity field along a long-span bridge using a numerical truncation method. Journal of Wind Engineering and Industrial Aerodynamics, 2022, 231, 105206. (中科院1区)

[17]    Liu, M., Peng, L., Huang, G., Yang, Q., Jiang, Y. Simulation of stationary non-Gaussian multivariate wind pressures using moment-based piecewise Hermite polynomial model. Journal of Wind Engineering and Industrial Aerodynamics, 2020, 196, 104041. (中科院2区)

[18]    Liu, S., Jiang, Y., Li, M., Xin, J., Peng, L. Long period ground motion simulation and its application to the seismic design of high-rise buildings. Soil Dynamics and Earthquake Engineering, 2021, 143, 106619. (中科院2区)

[19]    Wu, F., Liu, M., Huang, G., Peng, L., Guo, Z., Jiang, Y. Simulation of stationary non-Gaussian multivariate wind pressures based on moment-based piecewise Johnson transformation model. Probabilistic Engineering Mechanics, 2022, 68, 103225. (中科院2区)

[20]    Li, B., Peng, L., Jiang, Y., Wu, F., Hui, Y., Luo, Y. Simulation of stationary non-Gaussian stochastic vector processes using an eigenvalue-based iterative translation approximation method. Mechanical Systems and Signal Processing, 2022, 175, 109128. (中科院1区, Top期刊)

[21]    Liu, S., Luo, Y., Peng, L., Jiang, Y., Meng, E., Li, B. Wind pressure field reconstruction based on unbiased conditional kernel density estimation. Journal of Wind Engineering and Industrial Aerodynamics, 2022, 223, 104947. (中科院1区)

[22]    Meng, E., Yu, Y., Jiang, Y., Liu, S., Su, Y. Study on Restoring Force Model of RACFST Frame Infilled with RHB Masonry Wall. International Journal of Steel Structures, 2022, 22(2), 597-609. (中科院4区)

[23]    黄国庆, 范宇航, 姜言(通讯作者). (2022). 基于改进T-B谱方法的高层建筑风致疲劳损伤分析. 振动与冲击, 41(5), 243-250. (EI)

[24]    姜言, 黄国庆, 彭新艳, 李永乐. (2016). 基于 GARCH 的短时风速预测方法.西南交通大学学报, 51(4), 663-669. (EI)

[25]    吴凤波, 姜言(通讯作者), 彭留留, 吴波, 罗颖. (2022). 基于矩的传递函数模型的“不兼容”非高斯风压过程模拟研究. 振动与冲击. (EI)

2023年招收土木工程专业(桥梁工程、结构工程、防灾减灾及防护工程等方向)硕士研究生1名。

良好的数学、力学和英语基础,吃苦耐劳的精神,较强的团队合作意识。

联系方式

Email: xnjtjiangyan@163.com


 

研究方向

桥梁智能监测与评估、山区桥梁防灾减灾、桥梁与结构风工程