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An Active Research Group at the Intersection of AI & SHM

Publications

  1. Mosalam, K.M., R.N. White and G. Ayala, “Response of Infilled Frames Using Pseudo-Dynamic Experimentation,” Earthquake Engineering & Structural Dynamics, 1998, Vol. 27, No. 6, 589-608, https://doi.org/10.1002/(SICI)1096-9845(199806)27:6<589::AID-EQE744>3.0.CO;2-K
  2. Arici, Y. and K.M. Mosalam, “System Identification of Instrumented Bridge Systems,” Earthquake Engineering & Structural Dynamics, 2003, Vol. 32, No. 7, 999-1020, https://doi.org/10.1002/eqe.259
  3. Arici, Y. and K.M. Mosalam, “Modal Identification of Bridge Systems Using State-Space Methods,” Journal of Structural Control & Health Monitoring, 2005, Vol. 12, No. 3-4, 381-404, https://doi.org/10.1002/stc.76
  4. Arici, Y. and K.M. Mosalam, “Statistical Significance of Modal Parameters of Bridge Systems Identified from Strong Motion Data,” Earthquake Engineering & Structural Dynamics, 2005, Vol. 34, No. 10, 1323-1341, https://doi.org/10.1002/eqe.482
  5. Pan, P., H. Tomofuji, T. Wang, M. Nakashima, M. Ohsaki and K.M. Mosalam, “Development of Peer-to-Peer (P2P) Internet Online Hybrid Test System,” Earthquake Engineering & Structural Dynamics, 2006, Vol. 35, No. 7, 867-890, https://doi.org/10.1002/eqe.561
  6. Elkhoraibi, T. and K.M. Mosalam, “Towards Error-Free Hybrid Simulation Using Mixed Variables,” Earthquake Engineering & Structural Dynamics, 2007, Vol. 36, No. 11, 1497-1522, https://doi.org/10.1002/eqe.691
  7. Mosalam, K.M. and Y. Arici, “Health Monitoring of a Bridge System Using Strong Motion Data,” Smart Structures & Systems, 2009, Vol. 5, No. 4, 427-442, https://doi.org/10.12989/sss.2009.5.4.427
  8. Mosalam, K.M, S. Takhirov and A. Hashemi, “Seismic Evaluation of 1940s Asymmetric Wood-Frame Building Using Conventional Measurements and High-Definition Laser Scanning,” Earthquake Engineering & Structural Dynamics, 2009, Vol. 38, No. 10, 1175-1197, https://doi.org/10.1002/eqe.888
  9. Mosalam, K.M. and S. Günay, “Seismic Performance of Energy Efficient Structural Insulated Panels,” Wood Design Focus, 2012, Vol. 22, No. 1, 12-18, http://wdf.forestprod.org/
  10. Yang, Y., K.M. Mosalam, G.F. Jin and H. Liu, “Research on Damage Evaluation of Highway Bridge Structure in California Using Improved Direct Stiffness Method,” Engineering Mechanics, 2012, Vol. 29, No. 1, 114-120 (in Chinese), http://en.cnki.com.cn/Article_en/CJFDTotal-GCLX201201019.htm
  11. Yang, Y., H. Liu, K.M. Mosalam and X. Huang, “An Improved Direct Stiffness Calculation Method for Damage Detection of Beam Structures,” Structural Control & Health Monitoring, 2013, Vol. 20, No. 5, 835-851, https://doi.org/10.1002/stc.1503
  12. Mosalam, K.M., S.M. Takhirov and S. Park, “Applications of Laser Scanning to Structures in Laboratory Tests and Field Surveys,” Structural Control and Health Monitoring, 2014, Vol. 21, No. 1, 115-134, https://doi.org/10.1002/stc.1565
  13. Mosalam, K.M. and S. Günay, “Seismic Performance Evaluation of High Voltage Disconnect Switches Using Real-time Hybrid Simulation: I. System Development and Validation,” Earthquake Engineering & Structural Dynamics, 2014, Vol. 43, No. 8, 1205-1222, https://doi.org/10.1002/eqe.2395
  14. Günay, M.S. and K.M. Mosalam, “Seismic Performance Evaluation of High Voltage Disconnect Switches Using Real-time Hybrid Simulation: II. Parametric Study,” Earthquake Engineering & Structural Dynamics, 2014, Vol. 43, No. 8, 1223-1237, https://doi.org/10.1002/eqe.2394
  15. Lee, H., S. Günay and K.M. Mosalam, “Comparison of the Seismic Response of Reinforced Auger Pressure Grout and Concrete Columns,” Engineering Structures, 2015, Vol. 87, 139-152, https://doi.org/10.1016/j.engstruct.2015.01.010
  16. Günay, M.S. and K.M. Mosalam, “Enhancement of Real-time Hybrid Simulation on a Shaking Table Configuration with an Advanced Control Method,” Earthquake Engineering & Structural Dynamics, 2015, Vol. 44, No. 5, 657-675, https://doi.org/10.1002/eqe.2477
  17. Drazin, P.L., S. Govindjee and K.M. Mosalam, “Hybrid Simulation Theory for Continuous Beams,” ASCE, Journal of Engineering Mechanics, 2015, Vol. 141, No. 7, Paper 04015005, http://ascelibrary.org/doi/10.1061/%28ASCE%29EM.1943-7889.0000909
  18. Moustafa, M. and K.M. Mosalam, “Seismic Response of Bent Caps in As-built and Retrofitted Reinforced Concrete Box-Girder Bridges,” Engineering Structures, 2015, Vol. 98, 59-73, https://doi.org/10.1016/j.engstruct.2015.04.028
  19. Günay, S., K.M. Mosalam and S. Takhirov, “Real-Time Hybrid Simulation in a Shaking Table Configuration for Parametric Studies of High-Voltage Equipment and IEEE693 Development,” Nuclear Engineering & Design, 2015, Vol. 295, 901-909. https://doi.org/10.1016/j.nucengdes.2015.05.020
  20. Yang, Y., K.M. Mosalam, G. Liu, H. Liu and X. Wang, “Damage Detection Using Improved Direct Stiffness Calculations –A Case Study,” International Journal of Structural Stability & Dynamics, 2016, Vol. 16, No. 1, Paper 1640002, https://doi.org/10.1142/S0219455416400022
  21. Moustafa, M. and K.M. Mosalam, “Substructured Dynamic Testing of Substation Disconnect Switches,” Earthquake Spectra, 2016, Vol. 32, No. 1, 567-589, https://doi.org/10.1193/031314EQS037M
  22. Liang, X., K.M. Mosalam and S. Günay, “Direct Integration Algorithms for Efficient Nonlinear Seismic Response of Reinforced Concrete Highway Bridges,” ASCE, Journal of Bridge Engineering, 2016, Vol. 21, No. 7, Paper 04016041, https://doi.org/10.1061/(ASCE)BE.1943-5592.0000895
  23. Moustafa, M.A. and K.M. Mosalam, “Structural Performance of Porcelain and Polymer Post Insulators in High Voltage Electrical Switches,” ASCE, Journal of Performance of Constructed Facilities, 2016, Vol. 30, No. 5, Paper 04016002, https://doi.org/10.1061/(ASCE)CF.1943-5509.0000848
  24. Mosalam, K.M., S. Günay and S. Takhirov, “Response Evaluation of Interconnected Electrical Substation Equipment Using Real-Time Hybrid Simulation on Multiple Shaking Tables,” Earthquake Engineering & Structural Dynamics, 2016, Vol. 45, No. 14, 2389-2404, https://doi.org/10.1002/eqe.2767
  25. Bakhaty, A.A., S. Govindjee and K.M. Mosalam, “Theoretical Evaluation of Hybrid Simulation Applied to Continuous Plate Structures,” ASCE, Journal of Engineering Mechanics, 2016, Vol. 142, No. 12, Paper 04016093, https://doi.org/10.1061/(ASCE)EM.1943-7889.0001157
  26. Muin, S. and K.M. Mosalam, “Cumulative Absolute Velocity as a Local Damage Indicator of Instrumented Structures,” Earthquake Spectra, 2017, Vol. 33, No. 2, 641-664, https://doi.org/10.1193/090416EQS142M
  27. Mead, A.R. and K.M. Mosalam, “Ubiquitous Luminance Sensing Using the Raspberry Pi and Camera Module System,” Lighting Research & Technology, 2017, Vol. 49, No. 7, 904-921, https://doi.org/10.1177/1477153516649229
  28. Alibrandi, U. and K.M. Mosalam, “Response Spectrum Code-Conforming PEER PBEE using Stochastic Dynamic Analysis and Information Theory,” KSCE Journal of Civil Engineering, 2018, Vol. 22, No. 3, 1002-1015,
    https://doi.org/10.1007/s12205-018-0013-y
  29. Alibrandi, U. and K.M. Mosalam, “Kernel Density Maximum Entropy Method with Generalized Moments for Evaluating Probability Distributions, Including Tails, from a Small Sample of Data,” International Journal for Numerical Methods in Engineering, 2018, Vol. 113, No. 13, 1904-1092, https://doi.org/10.1002/nme.5725
  30. Gao, Y. and K.M. Mosalam, “Deep Transfer Learning for Image‐Based Structural Damage Recognition,” Computer-Aided Civil & Infrastructure Engineering, 2018, Vol. 33, 748-768, https://doi.org/10.1111/mice.12363
  31. Mosalam, K.M., S. Muin and Y. Gao, “New Directions in Structural Health Monitoring,” NED University Journal of Research, Special Issue on First South Asia Conference on Earthquake Engineering (SACEE’19), 2019, Vol. 2, 77-112, https://doi.org/10.35453/NEDJR-STMECH-2019-0006
  32. Gao, Y., B. Kong and K.M. Mosalam, “Deep Leaf‐Bootstrapping Generative Adversarial Network for Structural Image Data Augmentation,” Computer‐Aided Civil & Infrastructure Engineering, 2019, Vol. 34, No. 9, 755-773, https://doi.org/10.1111/mice.12458
  33. He, M., W. Gu, Y. Kong, L. Zhang, C.J. Spanos and K.M. Mosalam, “CausalBG: Causal Recurrent Neural Network for the Blood Glucose Inference with IoT Platform,” IEEE Internet of Things Journal, 2020, Vol. 7, No. 1, 598-610, https://ieeexplore.ieee.org/document/8864027
  34. Giordano, N., K.M. Mosalam and S. Gunay, “Probabilistic Performance-Based Seismic Assessment of an Existing Masonry Building,” Earthquake Spectra, 2020, Vol. 36, No. 1, https://doi.org/10.1177/8755293019878191
  35. Gong, C., W. Ding and K.M. Mosalam, “Performance-based Design of Joint Waterproofing of Segmental Tunnel Linings using Hybrid Computational/Experimental Procedures,” Tunnelling & Underground Space Technology, 2020, Vol. 96, Paper 103172, https://doi.org/10.1016/j.tust.2019.103172
  36. Gao, Y. and K.M. Mosalam, “PEER Hub ImageNet: A Large-Scale Multiattribute Benchmark Data Set of Structural Images,” ASCE, Journal of Structural Engineering, 2020, Vol. 146, No. 10, Paper 04020198, https://doi.org/10.1061/(ASCE)ST.1943-541X.0002745
  37. Mansouri, I. and E.M. Güneyisi and K.M. Mosalam, “Improved Shear Strength Model for Exterior Reinforced Concrete Beam-Column Joints Using Gene Expression Programming,” Engineering Structures, 2021, Vol. 228, Paper 111563, https://doi.org/10.1016/j.engstruct.2020.111563
  38. Vassiliou, M.F., M. Broccardo, C. Cengiz, M. Dietz, L. Dihoru, S. Günay, K.M. Mosalam, G. Mylonakis, A. Sextos and B. Stojadinovic, “Shake Table Testing of a Rocking Podium: Results of a Blind Prediction Contest,” Earthquake Engineering & Structural Dynamics, 2021, Vol. 50, No. 4, 1043-1062, https://doi.org/10.1002/eqe.3386
  39. Muin, S. and K.M. Mosalam, “Human-Machine Collaboration Framework for Structural Health Monitoring and Resiliency,” Engineering Structures, 2021, Vol. 235, Paper 112084,  https://doi.org/10.1016/j.engstruct.2021.112084
  40. Kijewski-Correa, T., D. Roueche, K.M. Mosalam, D.O. Prevatt and I. Robertson, “StEER: A Community-Centered Approach to Assessing the Performance of the Built Environment After Natural Hazard Events,” Frontiers in Built Environment, 2021, Vol. 7, Paper 636197, https://www.frontiersin.org/articles/10.3389/fbuil.2021.636197/full
  41. Gao, Y., P. Zhai and K.M. Mosalam, “Balanced Semi-Supervised Generative Adversarial Network for Damage Assessment from Low-Data Imbalanced-Class Regime,” Computer‐Aided Civil & Infrastructure Engineering, Vol. 36, No. 9, 2021, Available Online, https://doi.org/10.1111/mice.12741
  42. Wang, Z., Y. Zhang, K.M. Mosalam, Y. Gao and S.-L. Huang, “Deep Semantic Segmentation for Visual Understanding on Construction Sites,” Computer‐Aided Civil & Infrastructure Engineering, Vol. 36, No. 11, 2021, Available Online, https://doi.org/10.1111/mice.12701