PUBLICATIONS

Selected Journal Publications 

• Khajwal, A. B., & Noshadravan, A (2024). Enhancing Post-Hurricane Regional Loss Assessment with Crowdsourcing: A Probabilistic Inference Approach, International Journal of Disaster Risk Reduction, 107, 104456. 

• Martogi, D., Mahgoub, S. A., Noshadravan, A., & Abedi, S. (2023). Estimating mode II fracture energy of rocks using the scratch test and phase field modeling. Acta Geotechnica, 1-17, doi.org/10.1007/s11440-023-02104-y

• Cheng, C. S., Khajwal, A. B., Behzadan, A. H., & Noshadravan, A. (2023). A Probabilistic Crowd–AI Framework for Reducing Uncertainty in Postdisaster Building Damage Assessment. Journal of Engineering Mechanics, 149(9), 04023059.

• Khajwal, A. B., Cheng, C. S., & Noshadravan, A. (2022). Post‐disaster damage classification based on deep multi‐view image fusion. Computer‐Aided Civil and Infrastructure Engineering, doi.org/10.1111/mice.12890

• Cheng, C. S., Behzadan, A. H., & Noshadravan, A. (2022). Uncertainty‐aware convolutional neural network for explainable artificial intelligence‐assisted disaster damage assessment. Structural Control and Health Monitoring, 29(10), e3019, doi.org/10.1002/stc.3019

• 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, doi.org/10.1016/j.ijdrr.2021.102110 

• Cheng, C. S., Behzadan, A. H., & Noshadravan, A. (2021). Deep learning for post‐hurricane aerial damage assessment of buildings. Computer‐Aided Civil and Infrastructure Engineering, doi.org/10.1111/mice.12658 

• 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, doi.org/10.1016/j.petrol.2020.108123 

• V. Dubey, A. Noshadravan (2020). A probabilistic upscaling of microstructural randomness in modeling mesoscale elastic properties of concrete. Computers & Structures, 237, 106272, doi.org/10.1016/j.compstruc.2020.106272 

• 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.

• V. Dubey, M. Mashhadian, S. Abedi, A. Noshadravan (2019), "Multiscale Poromechanical Modeling of Shales Incorporating Microcracks", Rock Mechanics and Rock Engineering, 1-23, doi:10.1007/s00603-019-01833-5  

• M. Mishra, V. Keshavarzzadeh, A. Noshadravan (2019), "Reliability-based lifecycle management for corroding pipelines", Journal of Structural Safety, 76: 1-14, doi: 10.1016/j.strusafe.2018.06.007

• M. Mashhadian, S. Abedi, A. Noshadravan (2018), "Probabilistic multiscale characterization and modeling of organic-rich shale poroelastic properties", Acta Geotechnica, 13(4), 781-800. 

• ​​​​​ML Alcaraz, A Noshadravan, M Zgola, RE Kirchain, EA Olivetti (2018), "Streamlined life cycle assessment: A case study on tablets and integrated circuits", Journal of Cleaner Production", 200, 819-826

• ​A. Noshadravan, T. Reed Miller, J. Gregory (2017), "A life cycle cost analysis of residential buildings including natural hazard risk" (2017), Journal of Construction Engr. & Management​, doi: 10.1061/(ASCE)CO.1943-7862.0001286​​

• ​​A. Noshadravan, G. Gustard, R. Kirchain, E. Olivetti, "Operational strategies for increasing secondary materials in metals production under uncertainty" (2016), journal of sustainable metallurgy, doi:10.1007/s40831-016-0100-6

• J. Gregory, A. Noshadravan, E. Olivetti, R. Kirchain, (2016), "A methodology for robust comparative life cycle assessments incorporating uncertainty" (2016), Environmental Science & Technology, 50 (12), 6397–6405.​ doi:10.1021/acs.est.5b04969

• ​M.J. Abdolhossein Qomi, A. Noshadravan, J. Sobstyl, J. Toole, J. Ferreira, F-J. Ulm and M. Gonzalez (2016), "Data analytics for simplyfying thermal efficiency planning in cities", Journal of The Royal Society Interface, doi: 10.1098/rsif.2015.0971

• ​A. Noshadravan, L. Cheah, R. Roth, F. Freire, L. Dias, J. Gregory (2015), ‘’Stochastic comparative assessment of life-cycle environmental impact for conventional and electric vehicles", International Journal of Life Cycle Assessment, 20(6),854-864. doi:10.1007/s11367-015-0866-y

• ​A. Noshadravan, M. Wildnauer, J. Gregory, R. Kirchain (2013), ''Comparative pavement life-cycle assessment with parameter uncertainty'', Transportation Research Part D: Transport and Environment., 25, 131-38.  doi:10.1016/j.trd.2013.10.002

• ​A. Noshadravan, R. Ghanem (2013), ''A probabilistic mesoscale damage detection in polycrystals using a random matrix approach'', Journal of Intelligent Material Systems and Structures, 24(8), 1007-1017. doi:10.1177/1045389X12473376

• ​A. Noshadravan, R. Ghanem, J. Guilleminot, I. Atodaria, P. Peralta (2013), ''Validation of a probabilistic model for mesoscale elasticity tensor of random polycrystal'',  International Journal for Uncertainty Quantification, 3(1). 73-100. doi:10.1615/Int.J.UncertaintyQuantification.2012003901

• ​​J. Guilleminot, A. Noshadravan, C. Soize, R. Ghanem (2011), ''A probabilistic model for bounded elasticity tensor random fields with application to polycrystalline microstructures'', Computer Methods in Applied Mechanics and Engineering, 200(17), 1637-1648. doi:10.1016/j.cma.2011.01.016​​ 

Database Publications 

• MV-HarveyNET: A labelled image dataset from Hurricane Harvey for damage assessment of residential houses based on multi-view CNN, Khajwal, A. B., Tomotaki, L., Cheng, C. S., & Noshadravan, A. (2022). 

• DoriaNET: A visual dataset from Hurricane Dorian for post-disaster building damage assessment. DesignSafe-CI, Cheng, C. S., Behzadan, A. H., & Noshadravan, A. (2021).