Data augmentation for improving deep learning models in building inspections or postdisaster evaluation

S Leach, Y Xue, R Sridhar, S Paal, Z Wang… - … of Performance of …, 2021 - ascelibrary.org
Current building evaluations, whether for occupant safety or insurance appraisal, are
conducted primarily via visual inspections performed by certified individuals. These …

Functionality recovery of steel grain bins in rural communities following the August 2020 Iowa derecho

E Troulis, CE Wittich - 3rd International Conference on Natural Hazards …, 2022 - par.nsf.gov
Agriculturally-dominated rural communities are critical to the United States national
economy, however the resilience of these communities has been noted to be considerably …

Empirical Fragility Functions and Numerical Parametric Study for Buckling of Steel Grain Bins under High Wind Loads

A Ruder - 2022 - digitalcommons.unl.edu
While rural infrastructure is critical to the agricultural industry, it has been historically more
susceptible to damage and slower to recover following natural disasters than its urban and …

Analysis of Local News Articles in Digital (Virtual) Reconnaissance of Buildings and Other Structures after Natural Hazards

A Moussavi, CE Wittich - Forensic Engineering 2022 - ascelibrary.org
Digital, or virtual, reconnaissance methods are growing rapidly in post-disaster
assessments; however, there is no standard approach to data collection and the associated …