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Articles 1 - 5 of 5
Full-Text Articles in Geological Engineering
Energy Dissipation In A Sand Damper Under Cyclic Loading, Ehab Sabi
Energy Dissipation In A Sand Damper Under Cyclic Loading, Ehab Sabi
Civil and Environmental Engineering Theses and Dissertations
Various seismic and wind engineering designs and retrofit strategies have been in development to meet structures' proper and safe operation during earthquake and wind excitation. One such method is the addition of fluid and particle dampers, such as sand dampers, in an effort to reduce excessive and dangerous displacements of structures. The present study implements the discrete element method (DEM) to assess the performance of a pressurized sand damper (PSD) and characterize the dissipated energy under cyclic loading. The idea of a PSD is to exploit the increase in shearing resistance of sand under external pressure and the associated ability …
Developing Iot-Based Geophysical Micro-Observatories Utilizing Cloud Computing, Joshua Sylvester
Developing Iot-Based Geophysical Micro-Observatories Utilizing Cloud Computing, Joshua Sylvester
Computer Science and Engineering Theses and Dissertations
Instrumentation for collecting geophysical data, specifically heat flow, in lake and marine environments has been in existence for over fifty years. Despite this, the costs associated with data collection and the technological limitations of existing instrumentation can be preventative when conducting geophysical studies. Furthermore, the success rate of such studies is limited by the lack of real time data transmission capabilities when instruments are deployed for extended periods of time. As a solution to this problem we have created cost-effective and lightweight IoT-driven instrumentation and combined it with cloud computing technology facilitating real time data transmission to the cloud. Furthermore, …
Characterization Of Landslide Processes From Radar Remote Sensing And Hydromechanical Modeling, Yuankun Xu
Characterization Of Landslide Processes From Radar Remote Sensing And Hydromechanical Modeling, Yuankun Xu
Earth Sciences Theses and Dissertations
Landsides are a natural geomorphic process yet a dangerous hazard which annually causes thousands of casualties and billions of property loss in a global scale. Understanding landslide motion kinematics from early initiation to final deposition is critical for monitoring, assessing, and forecasting landslide movement in order to mitigate their hazards. Landslides occur under diverse environmental settings and appear in variable types; however, all types of landslides can be mechanically attributed to shearing failure at the basal surface due to stress regime shift contributed by internal and/or external forcing. Typical internal factors include soil/rock weathering, whereas typical external triggering forces encompass …
Automated Interactive 3d Geospatial Data Assimilation, Formatting And Visualization System For Development Of Subsurface Conceptual Site Models, Aaron Cattley, Gavin Hudgeons, Bruce Lee
Automated Interactive 3d Geospatial Data Assimilation, Formatting And Visualization System For Development Of Subsurface Conceptual Site Models, Aaron Cattley, Gavin Hudgeons, Bruce Lee
SMU Data Science Review
The natural evolution of the collection and storage of sub- surface data in Texas has resulted in the current state where data for certain resources, such as water resources, have not been assimilated with state oil and gas and injection data in a meaningful way that allows for rapid understanding and data analysis for a physical land site. The consequences that result due to data from different spheres not being in sync are often duplication of work being performed but not in a consistent manner. However, the reality is that the infrastructure and impacts of these sectors are deeply intertwined. …
Framework For Evaluation Of Flash Flood Models In Wildfire-Prone Areas, Brian Cunningham, David Benepe, Bryan Cikatz, Evangelos Giakoumakis
Framework For Evaluation Of Flash Flood Models In Wildfire-Prone Areas, Brian Cunningham, David Benepe, Bryan Cikatz, Evangelos Giakoumakis
SMU Data Science Review
Abstract. In this paper, we present an innovative framework for evaluating the increased risk of flash flooding in areas that have been subjected to wildfires. Wildfires cause large-scale damage to an area’s soil and vegetation thus increasing both the likelihood and severity of flash flooding. Utilizing remote sensing to analyze aerial imagery of areas that have been affected by wildfires, we can investigate how much a landscape has changed and how that may adversely affect downstream areas in the event of a flash flooding event. There are currently no established frameworks from which downstream local officials can quickly assess the …