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Visalakshi Talakokula ORCID

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

  1. Gomasa, Ramesh / Talakokula, Visalakshi / Jyosyula, Sri Kalyana Rama / Bansal, Tushar (2024): Integrating electro-mechanical impedance data with machine learning for damage detection and classification of blended concrete systems. In: Construction and Building Materials, v. 445 (September 2024).

    https://doi.org/10.1016/j.conbuildmat.2024.137725

  2. Morwal, Tarun / Bansal, Tushar / Azam, Ammar / Talakokula, Visalakshi / Jothi Saravanan, T. (2024): Exploring chloride-induced corrosion in reinforced concrete structures through embedded piezo sensor technology: an experimental and numerical study. In: Smart Materials and Structures, v. 33, n. 3 (2 Februar 2024).

    https://doi.org/10.1088/1361-665x/ad287a

  3. Gomasa, Ramesh / Talakokula, Visalakshi / Jyosyula, Sri Kalyana Rama / Bansal, Tushar (2023): A review on health monitoring of concrete structures using embedded piezoelectric sensor. In: Construction and Building Materials, v. 405 (November 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.133179

  4. Bansal, Tushar / Talakokula, Visalakshi / Saravanan, T. Jothi (2023): Comparative study of machine learning methods to predict compressive strength of high-performance concrete and model validation on experimental data. In: Asian Journal of Civil Engineering, v. 25, n. 2 (Oktober 2023).

    https://doi.org/10.1007/s42107-023-00836-6

  5. Yao, Yan / Wang, Ling / Li, Juan / De Belie, Nele / Shi, Xinyu / van den Heede, Philip / Zhang, Cheng / Liu, Zhiyuan / Talakokula, Visalakshi / Jin, Zuquan / Xiong, Chuansheng / Lu, Jingzhou / Kamali-Bernard, Siham / Bansal, Tushar / Li, Bin / Wang, Zhendi / Huang, Yu (2023): Recommendation of RILEM TC 281-CCC: Test method to determine the effect of uniaxial compression load and uniaxial tension load on concrete carbonation depth. In: Materials and Structures, v. 56, n. 7 (10 August 2023).

    https://doi.org/10.1617/s11527-023-02203-y

  6. Yao, Yan / Wang, Ling / Li, Juan / De Belie, Nele / Shi, Xinyu / van den Heede, Philip / Zhang, Cheng / Liu, Zhiyuan / Talakokula, Visalakshi / Jin, Zuquan / Xiong, Chuansheng / Lu, Jingzhou / Kamali-Bernard, Siham / Bansal, Tushar / Li, Bin / Wang, Zhendi / Huang, Yu (2023): Report of RILEM TC 281-CCC: effect of loading on the carbonation performance of concrete with supplementary cementitious materials — an interlaboratory comparison of different test methods and related observations. In: Materials and Structures, v. 56, n. 6 (19 Juni 2023).

    https://doi.org/10.1617/s11527-023-02190-0

  7. Bansal, Tushar / Talakokula, Visalakshi / Sathujoda, Prabhakar (2022): Durability aspects of blended concrete systems subjected to combined mechanical and environmental loading using piezo sensor. In: Construction and Building Materials, v. 348 (September 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.128613

  8. Dhandapani, Yuvaraj / Joseph, Shiju / Bishnoi, Shashank / Kunther, Wolfgang / Kanavaris, Fragkoulis / Kim, Taehwan / Irassar, Edgardo / Castel, Arnaud / Zunino, Franco / Machner, Alisa / Talakokula, Visalakshi / Thienel, Karl-Christian / Wilson, William / Elsen, Jan / Martirena, Fernando / Santhanam, Manu (2022): Durability performance of binary and ternary blended cementitious systems with calcined clay: a RILEM TC 282 CCL review. In: Materials and Structures, v. 55, n. 5 (Juni 2022).

    https://doi.org/10.1617/s11527-022-01974-0

  9. Bansal, Tushar / Talakokula, Visalakshi / Sathujoda, Prabhakar (2021): A Machine Learning Approach for Predicting the Electro-mechanical Impedance Data of Blended Rc Structures Subjected to Chloride Laden Environment. In: Smart Materials and Structures, v. 31, n. 1 (23 November 2021).

    https://doi.org/10.1088/1361-665x/ac3d6f

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