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Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Ai, Demi / Zhang, Duluan / Zhu, Hongping (2024): Damage localization on reinforced concrete slab structure using electromechanical impedance technique and probability-weighted imaging algorithm. In: Construction and Building Materials, v. 424 (April 2024).

    https://doi.org/10.1016/j.conbuildmat.2024.135824

  2. Ai, Demi / Li, Hedong / Zhu, Hongping (2023): Flexure-critical stress and damage identification in RC beam structure using embedded piezoelectric transducers: 2D modelling and experimental investigations. In: Construction and Building Materials, v. 409 (Dezember 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.134017

  3. Li, Hedong / Ai, Demi / Zhu, Hongping (2023): Thermal Hysteresis Effect and Its Compensation on Electro-Mechanical Impedance Monitoring of Concrete Structure Embedded with Piezoelectric Sensor. In: Buildings, v. 13, n. 10 (10 Oktober 2023).

    https://doi.org/10.3390/buildings13102564

  4. Ai, Demi / Zhang, Rui (2023): Deep learning of electromechanical admittance data augmented by generative adversarial networks for flexural performance evaluation of RC beam structure. In: Engineering Structures, v. 296 (Dezember 2023).

    https://doi.org/10.1016/j.engstruct.2023.116891

  5. Ai, Demi / Mo, Fang / Cheng, Jiabao / Du, Lixun (2023): Deep learning of electromechanical impedance for concrete structural damage identification using 1-D convolutional neural networks. In: Construction and Building Materials, v. 385 (Juli 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.131423

  6. Ai, Demi / Zhu, Hongping (2022): Adhesive curing effect of bonded piezoelectric transducer on electromechanical impedance-based concrete structural damage detection. In: Structural Health Monitoring, v. 22, n. 4 (Dezember 2022).

    https://doi.org/10.1177/14759217221118514

  7. Ai, Demi / Mo, Fang / Han, Yihang / Wen, Junjie (2022): Automated identification of compressive stress and damage in concrete specimen using convolutional neural network learned electromechanical admittance. In: Engineering Structures, v. 259 (Mai 2022).

    https://doi.org/10.1016/j.engstruct.2022.114176

  8. Li, Hedong / Ai, Demi / Zhu, Hongping / Luo, Hui (2021): Compressed sensing–based electromechanical admittance data loss recovery for concrete structural health monitoring. In: Structural Health Monitoring, v. 20, n. 3 (Januar 2021).

    https://doi.org/10.1177/1475921720950640

  9. Ai, Demi / Lin, Chengxing / Luo, Hui / Zhu, Hongping (2019): Temperature effect on electromechanical admittance–based concrete structural health monitoring. In: Structural Health Monitoring, v. 19, n. 3 (Juni 2019).

    https://doi.org/10.1177/1475921719860397

  10. Ai, Demi / Zhu, Hongping / Luo, Hui / Wang, Chao (2018): Mechanical impedance based embedded piezoelectric transducer for reinforced concrete structural impact damage detection: A comparative study. In: Construction and Building Materials, v. 165 (März 2018).

    https://doi.org/10.1016/j.conbuildmat.2018.01.039

  11. Ai, Demi / Zhu, Hongping / Luo, Hui / Yang, Jingwen (2014): An effective electromechanical impedance technique for steel structural health monitoring. In: Construction and Building Materials, v. 73 (Dezember 2014).

    https://doi.org/10.1016/j.conbuildmat.2014.09.029

  12. Ai, Demi / Zhu, Hongping / Luo, Hui (2016): Sensitivity of embedded active PZT sensor for concrete structural impact damage detection. In: Construction and Building Materials, v. 111 (Mai 2016).

    https://doi.org/10.1016/j.conbuildmat.2016.02.094

  13. Ai, Demi / Luo, Hui / Wang, Chao / Zhu, Hongping (2018): Monitoring of the load-induced RC beam structural tension/compression stress and damage using piezoelectric transducers. In: Engineering Structures, v. 154 (Januar 2018).

    https://doi.org/10.1016/j.engstruct.2017.10.046

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