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教授 博士生导师 硕士生导师
教师拼音名称：Kong Fan
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入职时间：2021-12-22
所在单位：建筑工程系
学历：博士研究生毕业
办公地点：土木楼405
性别：男
学位：博士学位
在职信息：在职
毕业院校：同济大学
学科：防灾减灾工程及防护工程结构工程
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- [1] Fan Kong，Yijian Xu,Xu Hong,Lunhai Zhi,Hongyou Cao，An Analytical Approach for Response Power Spectral Density Determination of Linear Systems Using Stochastic Harmonic Function:Probabilistic Engineering Mechanics(UnderReview
- [2] Yijian Xu，Xu Hong,Zhixiang Hu,Zhaodong Ding，Fan Kong，Analytical non-stationary response of fractional linear systems endowed with arbitrary rational order fractional derivative elements and subject to evolutionary stochastic excitation:Mechanical Systems and Signal Processing(Accepted
- [3] Ding Wang，Ke Chen,Jun Xu,Shan Xu，Fan Kong，Efficient simulation method of fully nonstationary stochastic vector processes via generalized harmonic wavelet:Mechanical Systems and Signal Processing,2024,222):111801.
- [4] R Han，F Kong，Y Peng，Approximate analytical solution of non-zero-mean nonstationary response of MDOF hysteretic systems subject to pulse-like stochastic ground motions:Mechanical Systems and Signal Processing,2024,221):111742.
- [5] Y Xu，D David,X Hong,X Sun，F Kong，Non-stationary response determination of nonlinear systems endowed with fractional derivative elements subjected to evolutionary stochastic excitation:Engineering Structures,2024,319):118844.
- [6] Xu Hong，Yupeng Song,Fan Kong,Michael Beer，The Typhoon Wind Hazard Assessment Considering the Correlation among the Key Random Variables Using the Copula Method:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A,2024,9(2):04023013.
- [7] Yongbo Peng，Chengrui Luo,Canxing Qiu,Fan Kong，Stochastic simulation of velocity pulses of near-fault ground motions based on multivariate copula modeling:Probabilistic Engineering Mechanics,2024,72):103434.
- [8] X Hong，J Wang,L Zhi,F Kong，A Stochastic Tropical Cyclone Intensity Model for Wind Hazard Assessment Using the Geographically Weighted Summary Statistic Method:Journal of Structural Engineering,2024,150(2):04023224.
- [9] P Zhang，F Kong，H Lu，Strength Prediction of Smart Cementitious Materials Using a Neural Network Optimized by Particle Swarm Algorithm:Buildings,2024,14(7):2033.
- [10] 孔凡，许伊键,郭文杰，洪旭，随机Bagley-Torvik方程的非平稳解析解:振动工程学报,2024,网络首发