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Resilient Infrastructure: Mathematical Modeling, Assessment, and Smart Sensing

Author

Listed:
  • Zhongkai Huang

    (Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education, Tongji University, Shanghai 200092, China
    Department of Geotechnical Engineering, College of Civil Engineering, Tongji University, Shanghai 200092, China)

  • Dongming Zhang

    (Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education, Tongji University, Shanghai 200092, China
    Department of Geotechnical Engineering, College of Civil Engineering, Tongji University, Shanghai 200092, China)

  • Xingtao Lin

    (College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518061, China)

  • Dianchun Du

    (School of Civil Engineering, Southeast University, No.2, Southeast University Road, Jiangning District, Nanjing 211189, China)

  • Jinzhang Zhang

    (Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education, Tongji University, Shanghai 200092, China
    Department of Geotechnical Engineering, College of Civil Engineering, Tongji University, Shanghai 200092, China)

Abstract

As big cities become more dense, there is a growing demand for infrastructures, i [...]

Suggested Citation

  • Zhongkai Huang & Dongming Zhang & Xingtao Lin & Dianchun Du & Jinzhang Zhang, 2023. "Resilient Infrastructure: Mathematical Modeling, Assessment, and Smart Sensing," Mathematics, MDPI, vol. 11(23), pages 1-2, November.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:23:p:4816-:d:1290252
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