selected publications
Academic Articles18
  • Cheng, C., Behzadan, A. H., & Noshadravan, A. (2021). Deep learning for post‐hurricane aerial damage assessment of buildings. Computer-Aided Civil and Infrastructure Engineering. 36(6), 695-710.
  • Dubey, V., Abedi, S., & Noshadravan, A. (2021). A multiscale modeling of damage accumulation and permeability variation in shale rocks under mechanical loading. Journal of Petroleum Science and Engineering. 198, 108123-108123.
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  • Khajwal, A. B., & Noshadravan, A. (2021). An uncertainty-aware framework for reliable disaster damage assessment via crowdsourcing. International Journal of Disaster Risk Reduction. 55, 102110-102110.
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  • Khajwal, A. B., & Noshadravan, A. (2020). Probabilistic Hurricane Wind-Induced Loss Model for Risk Assessment on a Regional Scale. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 6(2), 04020020-04020020.
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  • Dubey, V., & Noshadravan, A. (2020). A probabilistic upscaling of microstructural randomness in modeling mesoscale elastic properties of concrete. Computers & Structures. 106272-106272.
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Conference Papers9
  • Martogi, D., Vaibhav, A., Noshadravan, A., & Abedi, S. (2020). Approximation of Rock Fracture Toughness using Scratch Test and Phase-Field Modeling Approach. Day 4 Thu, October 29, 2020, SPE Annual Technical Conference and Exhibition.
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  • Mashhadian, M., Abedi, S., & Noshadravan, A. (2018). A probabilistic multiscale approach for modeling poromechanical properties of shales. 52nd U.S. Rock Mechanics/Geomechanics Symposium.
  • Dubey, V., Abedi, S., & Noshadravan, A. (2018). Multiscale modelling of microcrack-induced mechanical properties in shales. 52nd U.S. Rock Mechanics/Geomechanics Symposium.
  • Gregory, J., Noshadravan, A., Swei, O., Xu, X., & Kirchain, R. (2017). Cool pavement LCA tool: Inputs and recommendations for integration. Pavement Life-Cycle Assessment - Proceedings of the Pavement Life-cycle Assessment Symposium, 2017. 79-88.
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  • Noshadravan, A., & Ghanem, R. (2013). A probabilistic mesoscale damage detection in polycrystals using a random matrix approach. Journal of Intelligent Material Systems and Structures. 24(8), 1007-1017.
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chaired theses and dissertations
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Texas A&M University; Civil Engineering; 3136 TAMU, DLEB 702C
College Station, TX 77843-3136