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Subhamoy Sen

Associate Professor

Structural Engineering

Journal Article

1 Kuncham, E., & Sen, S. (2024). Fatigue assessment of bridges using interacting filtering approach with sub-structured predictor model based on current health. Structural Health Monitoring, , . https://doi.org/10.1177/14759217241263838 View More
2 Kuncham, E., Hoda, M. A., & Sen, S. (2024). Force estimation in bridge substructure boundary under vehicle loading using interacting filtering approach. International Journal of Advances in Engineering Sciences and Applied Mathematics , , . https://doi.org/10.1007/s12572-023-00367-y View More
3 Hoda, M. A., Kuncham, E., & Sen, S. (2024). Enhanced high-resolution structural crack detection using hybrid interacting Particle-Kalman filter. Structures, 62, 106227. https://doi.org/10.1016/j.istruc.2024.106227 View More
4 Aswal, N., & Sen, S. (2024). Improved force density optimization-based form-finding algorithm mitigating the local instabilities. Structures, 61(1), 106046. https://doi.org/10.1016/j.istruc.2024.106046 View More
5 Vijayalakshmanan, S., Mourya, M., Adeloye, A. J., Soundharajan, B. S., Tummuru, N. R., Pattabiraman, B., Yadav, N., Kasiviswanathan, K., & Sen, S. (2024). Toward improving water-energy-food nexus through dynamic energy management of solar powered automated irrigation system. Heliyon, 10(4), E25359. https://doi.org/10.1016/j.heliyon.2024.e25359 View More
6 Dogra, A. B., Pathak, H., Singh, M. P., & Sen, S. (2024). Early age cracking relevant to mass concrete dam structures during the construction schedule. Construction and Building Materials, 411(1), 134739. https://doi.org/10.1016/j.conbuildmat.2023.134739 View More
7 Bagalkot, N., Siddiqui, M. S., Keprate, A., & Sen, S. (2023). Reliability analysis of 15MW horizontal axis wind turbine rotor blades using fluid-structure interaction simulation and adaptive kriging model. Ocean Engineering, 288(1), 116138. https://doi.org/10.1016/j.oceaneng.2023.116138 View More
8 Kuncham, E., Aswal, N., Sen, S., & Mevel, L. (2023). Bayesian monitoring of substructures under unknown interface assumption. Mechanical Systems and Signal Processing, 193, 110269. https://doi.org/10.1016/j.ymssp.2023.110269 View More
9 Aswal, N., Kumar, S., & Sen, S. (2023). A novel Genetic algorithm based form-finding approach towards the improved design of tensegrity utility bridge. Structures, 58(1), 105401. https://doi.org/10.1016/j.istruc.2023.105401 View More
10 Aswal, N., Kuncham, E., Mevel, L., & Sen, S. (2023). Subdomain Fault Isolation for Linear Parameter Varying Systems through Coupled Marginalized Particle and Kitanidis Filters. IFAC-PapersOnLine, 56(2), 126-131. https://doi.org/10.1016/j.ifacol.2023.10.1557 View More
11 Hoda, M. A., Kuncham, E., & Sen, S. (2022). Response and input time history dataset and numerical models for a miniaturized 3D shear frame under damaged and undamaged conditions. Data in Brief, 45, 108692. https://doi.org/10.1016/j.dib.2022.108692 View More
12 Sharma, S., & Sen, S. (2022). Comparative study on sensitivity of acceleration and strain responses for bridge health monitoring. Journal of Structural Integrity and Maintenance, 7(4), 238-251. https://doi.org/10.1080/24705314.2022.2088167 View More
13 Sharma, S., & Sen, S. (2022). Real-time structural damage assessment using LSTM networks: regression and classification approaches. Neural Computing and Applications, 35(1), 557-572. https://doi.org/10.1007/s00521-022-07773-6 View More
14 Aswal, N., Mevel, L., & Sen, S. (2022). Switching Kalman filter for damage estimation in the presence of sensor faults. Mechanical Systems and Signal Processing, 175(1), 109116. https://doi.org/10.1016/j.ymssp.2022.109116 View More
15 Tandon, K., & Sen, S. (2022). Integration of machine learning and particle filter approaches for forecasting soil moisture. Stochastic Environmental Research and Risk Assessment, 36(12), 4235-4253. https://doi.org/10.1007/s00477-022-02258-3 View More
16 Aswal, N., Mevel, L., & Sen, S. (2022). Strain‐based joint damage estimation approach robust to unknown non‐stationary input force. Structural Control and Health Monitoring, 29(10), e2999. https://doi.org/10.1002/stc.2999 View More
17 Sharma, S., & Sen, S. (2021). Structural damage detection in presence of temperature variability using 2D CNN integrated with EMD. Structural Monitoring and Maintenance, 80(4), 379-402. https://doi.org/10.12989/smm.2021.8.4.379 View More
18 Kuncham, E., Sen, S., Kumar, P., & Pathak, H. (2021). An online model-based fatigue life prediction approach using extended Kalman filter. Theoretical and Applied Fracture Mechanics, 117, 103143. https://doi.org/10.1016/j.tafmec.2021.103143 View More
19 Aswal, N., Mevel, L., & Sen, S. (2021). Estimation of local failure in tensegrity using Interacting Particle-Ensemble Kalman Filter. Mechanical Systems and Signal Processing, 160(1), 107824. https://doi.org/10.1016/j.ymssp.2021.107824 View More
20 He, J., hagúnVidrio-Sa, C. T., & Sen, S. (2021). Stationary hydrological frequency analysis coupled with uncertainty assessment under nonstationary scenarios. Journal of Hydrology, 598(1), 125725. https://doi.org/10.1016/j.jhydrol.2020.125725 View More
21 , Q., Aswal, N., Mevel, L., & Sen, S. (2021). Structural health monitoring with non-linear sensor measurements robust to unknown non-stationary input forcing. Mechanical Systems and Signal Processing, 152(1), 107472. https://doi.org/10.1016/j.ymssp.2020.107472 View More
22 Sharma, S., & Sen, S. (2021). Bridge Damage Detection in Presence of Varying Temperature Using Two-Step Neural Network Approach. Journal of Bridge Engineering, 26(6), 04021027. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001708 View More
23 Sharma, S., & Sen, S. (2020). One-dimensional convolutional neural network-based damage detection in structural joints. Journal of Civil Structural Health Monitoring, 10(5), 1057-1072. https://doi.org/10.1007/s13349-020-00434-z View More
24 He, J., Kasiviswanathan, K., Mevel, L., & Sen, S. (2020). Uncertainty quantification using the particle filter for non-stationary hydrological frequency analysis. Journal of Hydrology, 584(1), 124666. https://doi.org/10.1016/j.jhydrol.2020.124666 View More
25 Dumoulin, J., Cérou, F., Crinière, A., Mevel, L., & Sen, S. (2018). Seismic-induced damage detection through parallel force and parameter estimation using an improved interacting Particle-Kalman filter. Mechanical Systems and Signal Processing, 110(1), 231-247. https://doi.org/10.1016/j.ymssp.2018.03.016 View More
26 Bhattacharya, B., & Sen, S. (2018). Non-Gaussian parameter estimation using generalized polynomial chaos expansion with extended Kalman filtering. Structural Safety, 70(1), 104-114. https://doi.org/10.1016/j.strusafe.2017.10.009 View More
27 Sen, S., & Mevel, L. (2018). Correntropy based IPKF filter for parameter estimation in presence of non-stationary noise process. IFAC-PapersOnLine, 51(24), 420-427. https://doi.org/10.1016/j.ifacol.2018.09.611 View More
28 Bhattacharya, B., & Sen, S. (2016). Online structural damage identification technique using constrained dual extended Kalman filter. Structural Control and Health Monitoring, 24(9), . https://doi.org/10.1002/stc.1961 View More
29 Bhattacharya, B., & Sen, S. (2016). Progressive damage identification using dual extended Kalman filter. Acta Mechanica, 227(1), 2099-2109. https://doi.org/10.1007/s00707-016-1590-9 View More
30 Bhattacharya, B., & Sen, S. (2016). A non-iterative structural damage identification methodology using state space eigenstructure assignment. Structure and Infrastructure Engineering, 13(2), 211-222. https://doi.org/10.1080/15732479.2016.1157825 View More
31 Bhattacharya, B., & Sen, S. (2015). Non-iterative eigenstructure assignment technique for finite element model updating. Journal of Civil Structural Health Monitoring, 5(2015), 365-375. https://doi.org/10.1007/s13349-015-0107-x View More

Conference Paper

1 Reddy, Y. P., Bharti, N., & Sen, S. (2023, August). Mode Specific Damping Estimation—An Inverse Damping Modelling Technique. Indian Structural Steel Conference, . https://doi.org/10.1007/978-981-19-9394-7_22 View More
2 Tandon, K., & Sen, S. (2022, December). A decomposition based Long short term memory model (LSTM) for reservoir inflow forecasting. 67th Congress of the Indian Society of Theoretical and Applied Mechanics (ISTAM), . http://203.110.246.133/resources/2022/proceedings/Full_paper/PA0212.pdf View More
3 Hoda, M. A., Kuncham, E., & Sen, S. (2022, December). Detection of edge crack in beam like structure modeled as rotational spring by using Bayesian filtering. 67th Congress of the Indian Society of Theoretical and Applied Mechanics (ISTAM), . https://istam.iitkgp.ac.in/resources/2022/proceedings/Full_paper/PA0198.pdf View More
4 Aswal, N., Mevel, L., & Sen, S. (2022, November). Damage detection in tensegrity under varying temperature using interacting Particle-Ensemble Kalman Filter. International Symposium on Nondestructive Testing in Civil Engineering, Aug 2022, Zurich, Switzerland. https://inria.hal.science/hal-03874406/ View More
5 Reddy, Y. P., & Sen, S. (2022, September). Temperature Robust Health Bench-Marking and Monitoring of an Heritage Suspension Bridge Using Coupled IWCM and TBSI Method. Recent Advances in Materials Processing and Characterization, . https://doi.org/10.1007/978-981-19-5347-7_30 View More
6 Aswal, N., Kuncham, E., Mevel, L., & Sen, S. (2021, July). Robust interacting particle-Kalman filter based structural damage estimation using dynamic strain measurements under non-stationary excitation-an experimental study. 10th International Conference on Structural Health Monitoring of Intelligent Infrastructure, . https://inria.hal.science/hal-03277241/document View More
7 Aswal, N., Mevel, L., & Sen, S. (2021, January). Damage Detection in Tensegrity Using Interacting Particle-Ensemble Kalman Filter.. European Workshop on Structural Health Monitoring., . https://doi.org/10.1007/978-3-030-64908-1_68 View More
8 Aswal, N., & Sen, S. (2019, August). Design and health monitoring of tensegrity structures: An overview. Reliability, Safety and Hazard Assessment for Risk-Based Technologies: Proceedings of ICRESH 2019, . https://doi.org/10.1007/978-981-13-9008-1_43 View More
9 Sharma, S., & Sen, S. (2019, January). PLATE DAMAGE DETECTION UNDER VARYING TEMPERATURE USING DUAL NEURAL NETWORK. Structural Engineering Congress 2019, . https://scholar.google.com/scholar?oi=bibs&cluster=6842880568624863203&btnI=1&hl=en View More
10 Sharma, S., & Sen, S. (2018, January). Damage detection in presence of varying temperature through residual error modelling approach with dual neural network. EWSHM 2018, Manchester, UK. https://www.ndt.net/article/ewshm2018/papers/0201-Smriti.pdf View More
11 Dumoulin, J., Cérou, F., Crinière, A., Mevel, L., & Sen, S. (2017, September). Seismic induced damage detection through parallel estimation of force and parameter using improved interacting Particle-Kalman filter. 11th International Workshop on Structural Health Monitoring, San Francisco, United States. . https://inria.hal.science/hal-01590713/ View More
12 Dumoulin, J., Cérou, F., Crinière, A., Mevel, L., & Sen, S. (2017, April). Estimation of time varying system parameters from ambient response using improved Particle-Kalman filter with correlated noise. EGU General Assembly Conference Abstracts, Vienna, Austria. https://ui.adsabs.harvard.edu/abs/2017EGUGA..1915527S/abstract View More
13 Bhattacharya, B., & Sen, S. (2015, January). Adaptive nonlinear Kalman filtering technique for parameter identification: an application to Bouc-Wen model. ASCE EMI Conference on Mechanics for Civil Engineers Against Natural Hazards, Hong Kong. https://www.researchgate.net/publication/272420729_Adaptive_nonlinear_Kalman_filtering_technique_for_parameter_identification_an_application_to_Bouc-Wen_model View More
14 Bhattacharya, B., & Sen, S. (2014, December). Non-iterative eigenstructure assignment based finite element model updating of a Mindlin–Reissner plate in Duncan form of state space using ambient vibration respnose. International Conference on Theoretical, Applied, Computational and Experimental Mechanics, . https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=e89593c5b3b135b5dbd7d3fd29242c4754b41a24 View More
15 , B., Bhattacharya, B., & Sen, S. (2014, December). Identification of Bouc-Wen model parameters using Extended Kalman filter with adaptive process and measurement covariance matrices. International Conference on Theoretical, Applied, Computational and Experimental Mechanics, . http://www.facweb.iitkgp.ac.in/~baidurya/publications/ictacem%202014%20397_Fullpaper.pdf View More
16 Bhattacharya, B., & Sen, S. (2013, January). Eigen structure assignment based finite element model updating. International Conference on Computer Aided Engineering (CAE-2013), . https://www.researchgate.net/profile/Subhamoy-Sen/publication/295646681_Eigen_structure_assignment_based_finite_element_model_updating/links/56cc31b808aee3cee543600a/Eigen-structure-assignment-based-finite-element-model-updating.pdf View More

Book Chapter

1 Bhattacharya, B., Aswal, N., & Sen, S. (2022). Joint and Dual Estimation of States and Parameters with Extended and Unscented Kalman Filters. , Recent Developments in Structural Health Monitoring and Assessment–Opportunities and Challenges: Bridges, Buildings and Other Infrastructures (223-252). https://doi.org/10.1142/9789811243011_0008 View More
2 Sharma, S., & Sen, S. (2020). Damage Detection in Presence of Varying Temperature Using Mode Shape and a Two-Step Neural Network. Saha, S.K., Mukherjee, M., Recent Advances in Computational Mechanics and Simulations (285-299). https://doi.org/10.1007/978-981-15-8138-0_23 View More