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Suparno Mukhopadhyay ORCID

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

  1. Ghosh, Dhiraj / Mukhopadhyay, Suparno (2024): Fisher Information–Based Optimal Sensor Locations for Structural Identification of Nonclassically Damped Systems. In: Journal of Engineering Mechanics (ASCE), v. 150, n. 10 (Oktober 2024).

    https://doi.org/10.1061/jenmdt.emeng-7732

  2. Latha, Lakshmi / Ray-Chaudhuri, Samit / Mukhopadhyay, Suparno / Bajpai, Kunwar K. (2022): Seismic Performance Enhancement of Unreinforced Brick Masonry Buildings by Retrofitting with Reinforced Concrete Bands: Full Scale Experiments. In: Journal of Structural Engineering (ASCE), v. 148, n. 12 (Dezember 2022).

    https://doi.org/10.1061/(asce)st.1943-541x.0003460

  3. Ghosh, Dhiraj / Mukhopadhyay, Suparno (2022): Fisher information‐based optimal sensor locations for output‐only structural identification under base excitation. In: Structural Control and Health Monitoring, v. 29, n. 10 (13 September 2022).

    https://doi.org/10.1002/stc.3021

  4. Balsamo, Luciana / Mukhopadhyay, Suparno / Betti, Raimondo (2015): A statistical framework with stiffness proportional damage sensitive features for structural health monitoring. In: Smart Structures and Systems, v. 15, n. 3 (März 2015).

    https://doi.org/10.12989/sss.2015.15.3.699

  5. Bernagozzi, Giacomo / Mukhopadhyay, Suparno / Betti, Raimondo / Landi, Luca / Diotallevi, Pier Paolo (2022): Proportional flexibility-based damage detection for buildings in unknown mass scenarios: The case of severely truncated modal spaces. In: Engineering Structures, v. 259 (Mai 2022).

    https://doi.org/10.1016/j.engstruct.2022.114145

  6. Mukhopadhyay, Suparno / Luş, Hilmi / Betti, Raimondo (2016): Probabilistic Structural Health Assessment with Identified Physical Parameters from Incomplete Measurements. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 2, n. 3 (September 2016).

    https://doi.org/10.1061/ajrua6.0000838

  7. Mukhopadhyay, Suparno / Das, Sandip / Gupta, Vinay K. (2019): Wavelet-based generation of accelerogram-consistent, spectrum-compatible motions: New algorithms and short-period overestimation. In: Soil Dynamics and Earthquake Engineering, v. 121 (Juni 2019).

    https://doi.org/10.1016/j.soildyn.2019.02.001

  8. Mukhopadhyay, Suparno / Gupta, Vinay K. (2013): Directivity pulses in near-fault ground motions—I: Identification, extraction and modeling. In: Soil Dynamics and Earthquake Engineering, v. 50 (Juli 2013).

    https://doi.org/10.1016/j.soildyn.2013.02.017

  9. Mukhopadhyay, Suparno / Gupta, Vinay K. (2013): Directivity pulses in near-fault ground motions—II: Estimation of pulse parameters. In: Soil Dynamics and Earthquake Engineering, v. 50 (Juli 2013).

    https://doi.org/10.1016/j.soildyn.2013.02.019

  10. Mukhopadhyay, Suparno / Luş, Hilmi / Betti, Raimondo (2015): Structural identification with incomplete instrumentation and global identifiability requirements under base excitation. In: Structural Control and Health Monitoring, v. 22, n. 7 (Juli 2015).

    https://doi.org/10.1002/stc.1732

  11. Nayek, Rajdip / Mukhopadhyay, Suparno / Narasimhan, Sriram (2018): Mass normalized mode shape identification of bridge structures using a single actuator-sensor pair. In: Structural Control and Health Monitoring, v. 25, n. 11 (November 2018).

    https://doi.org/10.1002/stc.2244

  12. Mukhopadhyay, Suparno / Luş, Hilmi / Betti, Raimondo (2016): Structural identification with incomplete output-only data and independence of measured information for shear-type systems. In: Earthquake Engineering and Structural Dynamics, v. 45, n. 2 (Februar 2016).

    https://doi.org/10.1002/eqe.2627

  13. Bernagozzi, Giacomo / Mukhopadhyay, Suparno / Betti, Raimondo / Landi, Luca / Diotallevi, Pier Paolo (2018): Output-only damage detection in buildings using proportional modal flexibility-based deflections in unknown mass scenarios. In: Engineering Structures, v. 167 (Juli 2018).

    https://doi.org/10.1016/j.engstruct.2018.04.036

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