[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-127577-en":3,"doc-seo-127577-105":31,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},127577,687207020761,"Patrick","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",8,"Research & Report","Computational Analysis Of Water Braking Phenomena For High-Speed Sled And Its Machine Learning Framework","High-speed testing at Holloman High-Speed Test Track (HHSTT) uses water braking to stop vehicles by exploiting water’s higher density and momentum exchange with the track vehicle. A computational fluid dynamics study models the braking interaction by discretizing the volume around a track sled brake and accelerating water and air to emulate brake engagement. Three-dimensional multi-phase finite-volume simulations apply governing gas and liquid equations and adjust air and water inflow velocities to represent operational speeds. The work addresses numerical convergence issues from mesh, initial/boundary conditions, and fluid compressibility, then analyzes inflow effects. Improved prediction supports sled design changes, velocity-time profile forecasts, higher confidence in braking mechanisms, and reduced risk in infrastructure recovery by clarifying how water behavior drives damage and drag.","University of Texas at El Paso  \nScholarWorks@UTEP  \nOpen Access Theses & Dissertations  \n2023-05-01  \nComputational Analysis Of Water Braking Phenomena For High-Speed Sled And Its Machine Learning Framework  \nJose A. Terrazas  \nUniversity of Texas at El Paso  \nFollow this and additional works at: [https://scholarworks.utep.edu/open_etd](https://scholarworks.utep.edu/open_etd)  \n Part of the Mechanical Engineering Commons, and the Systems Science Commons  \nRecommended Citation  \nTerrazas, Jose A., \"Computational Analysis Of Water Braking Phenomena For High-Speed Sled And Its Machine Learning Framework\" (2023) . Open Access Theses & Dissertations. 3859.  \n[https://scholarworks.utep.edu/open_etd/3859](https://scholarworks.utep.edu/open_etd/3859)  \nThis is brought to you for free and open access by ScholarWorks@UTEP. It has been accepted for inclusion in Open Access Theses & Dissertations by an authorized administrator of ScholarWorks@UTEP. For more information, please contact [lweber@utep.edu](lweber@utep.edu).  \nCOMPUTATIONAL ANALYSIS OF WATER BRAKING PHENOMENA FOR HIGH-SPEED  \nSLED AND ITS MACHINE LEARNING FRAMEWORK  \nJOSE ARMANDO TERRAZAS  \nDoctoral Program in Mechanical Engineering  \nAPPROVED:  \n\n| Vinod Kumar, Ph.D., Chair |\n| --- |\n| Robert Edmonds, Ph.D., Co-Chair |\n| V.M. Krushnarao Kotteda, Ph.D. |\n| Jorge Munoz, Ph.D. |\n| Art Bronson, Ph.D. |\n\nOscar Mondragon, Ph.D.  \nStephen L. Crites, Jr., Ph.D. Dean of the Graduate School  \nCopyright ©  \nby  \nJose Armando Terrazas  \n2023  \nDedication  \nI dedicate this work to my mom, brother, sister, cousins, family, and friends that helped me along the way, for their constant support and encouragement.  \nI would also like to dedicate this work to all my mentors since middle school, high school, and college that saw potential in me and set me on this path.  \nFinally, to my graduate advisors and mentors that encouraged me to complete this work and helped me develop intellectually.  \nCOMPUTATIONAL ANALYSIS OF WATER BRAKING PHENOMENA FOR HIGH-SPEED  \nSLED AND ITS MACHINE LEARNING FRAMEWORK  \nby  \nJOSE ARMANDO TERRAZAS, MSSE  \nDISSERTATION  \nPresented to the Faculty of the Graduate School of  \nThe University of Texas at El Paso  \nin Partial Fulfillment  \nof the Requirements  \nfor the Degree of  \nDOCTOR OF PHILOSOPHY  \nDepartment of Aerospace and Mechanical Engineering  \nTHE UNIVERSITY OF TEXAS AT EL PASO  \nMay 2023  \nAcknowledgements  \nThe work in this thesis was supported by the U.S. Air Force through the Summer Faculty Fellow Program, Air Force Office of Scientific Research (AFOSR) . We would like to acknowledge the U.S. Department of Defense (AFOSR Grant Number \\# FA9550-19-1-0304, FA9550-17-1-0253, FA9550-12-1-0242, FA9550-17-1-0393, SFFP, AFTC, HAFB/HSTT, AFRL, HPCMP), Department of Energy (DE-FE0026220, DE-FE0002407, NETL, Sandia, ORNL, NREL), Systems Plus, and several other individuals at these agencies for partially supporting our research financially or through mentorship. We would also like to thank NSF ((HRD-1139929, XSEDE Award Number ACI-1053575), TACC, DOE, DOD HPCMP, University of Texas STAR program, UTEP (Research Cloud, Department of Mechanical Engineering, Graduate School & College of Engineering) for generously providing financial support or computational resources. Without their generous support it would have been almost impossible to reach the milestones.  \nI would also like to thank Dr. Kumar, Dr. Munoz, Dr. Kotteda, Dr. Edmonds, and Dr. Gudimetla for their constant patience, support, and mentorship throughout my study, this work would not have been possible without them.  \nAbstract  \nSpecializing in high-speed testing, Holloman High-Speed Test Track (HHSTT) uses a process called ‘water braking’ as a method to bring vehicles at the test track to a stop. This method takes advantage of the higher density of water, compared to air, to increase braking capability through momentum exchange. By studying water braking using Computational Fluid Dynamics (CFD), forces actin","cbCaiiZaKw2Nj1Ik","https://ap.wps.com/l/cbCaiiZaKw2Nj1Ik","pdf",7219471,2,1,142,"English","en",105,"# Abstract\n## Background and motivation\n## CFD modeling approach\n## Simulation setup and parameter variation\n## Numerical challenges and resolution\n## Outcomes and engineering implications","[{\"question\":\"What is the purpose of water braking at HHSTT?\",\"answer\":\"It brings test-track vehicles to a stop by using water’s higher density to increase braking capability through momentum exchange.\"},{\"question\":\"How does the study model the water braking process?\",\"answer\":\"It uses 3D multi-phase computational fluid dynamics with governing equations for gas and liquid phases and the finite volume method, centered on a discretized region around the sled brake.\"},{\"question\":\"Which factors are varied to simulate different operational speeds?\",\"answer\":\"Air and water inflow velocities are adjusted to represent HHSTT sled tests at various speeds.\"}]","Computational Analysis Of Water Braking Phenomena For High-Speed Sled And Its Machine Learning Framework | 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