李金珂
  • 单位:土木工程学院   智能建造系
  • 职称:讲师

研究领域

1.       基于智能手机公众参与群智的地震应急结构监测与震害快速评定研究

2.       计算机视觉在结构健康监测领域的应用研究

3.       基于大规模多尺度光纤传感器的核电站安全壳和桥梁的监测与评定研究


论文与著作

[1]    Li J., He Z., Zhao X. A data-driven building's seismic response estimation method using a deep convolutional neural network[J]. IEEE Access. 2021,9: 50061-50077. (SCI检索号:000637517900001,影响因子:3.367JCR-Q1)

[2]    Xie B., Li J., Zhao X. Accuracy and sensibility analysis of strain measurement based on microimages captured by smartphone with a microscope[J]. Structural Control and Health Monitoring. 2021,28(3). (SCI检索号:000602905500001,影响因子:4.819JCR-Q1)

[3]    Li J., Xie B., Zhao X. Measuring the interstory drift of buildings by a smartphone using a feature point matching algorithm[J]. Structural Control and Health Monitoring. 2020,27(4). (SCI检索号:000518633800017,影响因子:4.819JCR-Q1)

[4]    Li J., Xie B., Zhao X. A method of interstory drift monitoring using a smartphone and a laser device[J]. Sensors. 2020,20(6). (SCI检索号:000529139700235,影响因子:3.576JCR-Q1)

[5]    Xie B., Li J., Zhao X. Strain measurement based on speeded-up robust feature algorithm applied to microimages from a smartphone-based microscope[J]. Sensors. 2020,20(10). (SCI检索号:000539323700059,影响因子:3.576JCR-Q1)

[6]    Li J., Zhao X. Research on quick seismic structural monitoring and damage evaluation technique using smartphone[C]. Sendai, Japan: 17th World Conference on Earthquake Engineering, 17WCEE, 2020, 6b-0004. (国际会议论文)

[7]    Xie B., Li J., Zhao X. Research on damage detection of a 3D steel frame model using smartphones[J]. Sensors. 2019,19(3). (SCI检索号:000459941200308,影响因子:3.576JCR-Q1)

[8]    Zhao X, Li J, Han R, et al. GroundEye: A mobile crowdsourcing structure seismic response monitoring system based on smartphone[C]. Denver, CO, United states: Health Monitoring of Structural and Biological Systems XIII, SPIE 2019, vol. 10972, p. 361–7. (国际会议论文,EI检索号:20193007238784)

[9]    Xie B, Zhao X, Li J, et al. Research on 2D digital image correlation measurement based on smartphones[C]. Denver, CO, United states: Health Monitoring of Structural and Biological Systems XIII, Volume: 10972, SPIE, 2019. (EI检索号:20193007238795)

[10]  Li J., Liao K, Kong X, Li S, Zhang X, Zhao X, et al. Nuclear Power Plant Prestressed Concrete Containment Vessel Structure Monitoring during Integrated Leakage Rate Testing Using Fiber Bragg Grating Sensors[J]. APPLIED SCIENCES-BASEL. 2017,7: 419. SCI检索号:000404447600108,影响因子:2.679JCR-Q2)

[11]  Liao K, Li J, Kong X, et al. Nuclear power plant prestressed concrete containment vessel structure monitoring during integrated leakage rate test using three kinds of fiber optic sensors[C]. Portland, OR, United states: Health Monitoring of Structural and Biological Systems, SPIE, 2017. (EI检索号:20172503801416)

[12]  Liao K, Li J, Kong X, et al. Nuclear power plant PCCV structure monitoring based on BOTDA and its data processing using Kalman filter[C]. Stanford, CA, United states: 11th International Workshop on Structural Health Monitoring, 2017. (EI检索号:20174404343470)