Subhamoy Sen
Associate Professor
Structural Engineering
Journal Article
| 1 | 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, 116138. https://doi.org/10.1016/j.oceaneng.2023.116138 | View More |
| 2 | 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 |
| 3 | 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, 105401. https://doi.org/10.1016/j.istruc.2023.105401 | View More |
| 4 | 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 |
| 5 | 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 |
| 6 | 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 |
| 7 | 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 |
| 8 | 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 |
| 9 | Aswal, N., Sen, S., & Mevel, L. (2022). Switching Kalman filter for damage estimation in the presence of sensor faults. Mechanical Systems and Signal Processing, 175, 109116. https://doi.org/10.1016/j.ymssp.2022.109116 | View More |
| 10 | 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 |
| 11 | 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 |
| 12 | Kuncham, E., & Sen, S. (2022). 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 |
| 13 | 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 |
| 14 | Aswal, N., Sen, S., & Mevel, L. (2021). Estimation of local failure in tensegrity using Interacting Particle-Ensemble Kalman Filter. Mechanical Systems and Signal Processing, 160, 107824. https://doi.org/10.1016/j.ymssp.2021.107824 | View More |
| 15 | Sen, S. (2021). Stationary hydrological frequency analysis coupled with uncertainty assessment under nonstationary scenarios. Journal of Hydrology, 598, v. https://doi.org/10.1016/j.jhydrol.2020.125725 | View More |
| 16 | Zhang, 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, 107472. https://doi.org/10.1016/j.ymssp.2020.107472 | View More |
| 17 | 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 |
| 18 | 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 |
| 19 | He, J., Kasiviswanathan, K., & Sen, S. (2020). Uncertainty quantification using the particle filter for non-stationary hydrological frequency analysis. Journal of Hydrology, 584, 124666. https://doi.org/10.1016/j.jhydrol.2020.124666 | View More |
| 20 | 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, 231-247. https://doi.org/10.1016/j.ymssp.2018.03.016 | View More |
| 21 | 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 |
| 22 | Bhattacharya, B., & Sen, S. (2018). Non-Gaussian parameter estimation using generalized polynomial chaos expansion with extended Kalman filtering. Structural Safety, 70, 104-114. https://doi.org/10.1016/j.strusafe.2017.10.009 | View More |
| 23 | 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 |
| 24 | Bhattacharya, B., & Sen, S. (2016). Progressive damage identification using dual extended Kalman filter. Acta Mechanica, 227, 2099-2109. https://doi.org/10.1007/s00707-016-1590-9 | View More |
| 25 | 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 |
| 26 | Bhattacharya, B., & Sen, S. (2015). Non-iterative eigenstructure assignment technique for finite element model updating. Journal of Civil Structural Health Monitoring, 5, 365-375. https://doi.org/10.1007/s13349-015-0107-x | View More |
Conference Paper
| 1 | 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 | 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 | Kuncham, E., & Sen, S. (2022, December). SM6 Fracture and Crack Detection of edge crack modeled as rotational spring by using Bayesian filtering in beam like structure. 67th Congress of the Indian Society of Theoretical and Applied Mechanics (ISTAM), . https://istam.iitkgp.ac.in/resources/2022/proceedings/Abstract/PA0198.pdf | View More |
| 5 | Kuncham, E., & Sen, S. (2022, December). Subdomain boundary forces estimation of bridge structure under vehicle loading using interacting Ensemble-Particle filtering. 67th Congress of the Indian Society of Theoretical and Applied Mechanics (ISTAM), . https://istam.iitkgp.ac.in/resources/2022/proceedings/Full_paper/PA0213.pdf | View More |
| 6 | 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 |
| 7 | 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 |
| 8 | 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 |
| 9 | 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 |
| 10 | 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 |
| 11 | 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 |
| 12 | 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 |
| 13 | 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 |
| 14 | 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 |
| 15 | 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 |
| 16 | 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 |
| 17 | , 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 |
| 18 | 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 |