[Usecase] TODAY - DesignSafe Webinar: 2022 DATASET AWARD WINNER: Prototype-Scale Physical Model of Wave Attenuation Through a Mangrove Forest of Moderate Cross-Shore Thickness: Data Curation and Opportunities for Reuse

Natalie Henriques natalie at tacc.utexas.edu
Wed Sep 21 08:45:04 CDT 2022


This is a reminder that you have registered to attend today's webinar at 10:30AM Pacific/ 12:30PM Central/ 1:30 PM Eastern Time.

The information to access the webinar can be found here:
https://www.designsafe-ci.org/learning-center/training/webinars/ds/2022/prototype-scale-physical-model-wave-attenuation/95499399029/

2022 DATASET AWARD WINNER - PROTOTYPE-SCALE PHYSICAL MODEL OF WAVE ATTENUATION THROUGH A MANGROVE FOREST OF MODERATE CROSS-SHORE THICKNESS: DATA CURATION AND OPPORTUNITIES FOR REUSE
SEPTEMBER 21, 2022 | 12:30PM - 1:30PM CT
About the Webinar
Natural and nature-based infrastructure systems (e.g., emergent vegetation, wetlands) are rapidly gaining interest as hazard mitigation and coastal infrastructure protection alternatives to conventional shoreline hardening techniques. These systems provide additional ecological and social functions through habitat creation, carbon sequestration, and enhanced recreation and tourism. Mangrove systems common to tropical and subtropical coastlines offer one source of nature-based shoreline protection; however, the engineering performance and associated uncertainty of these systems must be quantified to enable widespread implantation and acceptance.
This project investigated the potential of a Rhizophora mangle (red mangrove) forest of modest cross-shore thickness to attenuate wave heights and reduce loads on sheltered structures through a prototype-scale physical model. Two forest densities and a baseline case were considered, and transient, regular, and irregular were waves generated over the 18 m mangrove forest test section. Water surface elevations seaward, throughout, and leeward of the mangrove forest were measured, as well as pressures on a test wall positioned behind the forest test section. A LiDAR-based methodology was developed to quantify the projected area per unit height of the forest for prediction of wave-height decay and determination of empirical drag coefficients. Drag coefficients were Reynolds-dependent and ranged 0.4 - 3.8. Results of previous reduced-scale studies agreed with calculated drag coefficients when the Reynolds number was rescaled considering Froude similitude, showing the importance of prototype-scale experiments in interpreting results of reduced-scale tests.
This talk will describe the motivation and overview of the prototype-scale experiment, major findings of this study, data archival process, opportunities for data reuse, and planned hybrid (green/gray) tests in 2023.
Presenters
Tori Tomiczek is an Associate Professor at the U.S. Naval Academy. She earned her B.S. at the University of Florida and PhD at the University of Notre Dame. She completed a post-doctoral fellowship at Oregon State University before joining the Ocean Engineering faculty at USNA in 2017. She has participated in field reconnaissance surveys evaluating damage and recovery and has enjoyed working on physical model experiments at USNA, OSU, and Kyoto University. She is interested in better understanding wave-induced forces on coastal structures to inform design guidance and finding sustainable, resilient solutions that mitigate damage due to coastal hazards.
Kiernan Kelty earned his B.Sc. in Agricultural Engineering at Purdue University and M.Sc. in Civil Engineering at Oregon State University (OSU). While at OSU, Kiernan created a full-scale physical model of a mangrove forest to evaluate its performance for Natural and Nature-Based Feature (NNBF) design. Kiernan is an Eco-Engineer at cbec eco engineering and develops hydraulic models of both riverine and deltaic systems. He enjoys implementing NNBF designs into proposed design alternatives for these projects.



Natalie Henriques, PMP
Project Manager
Texas Advanced Computing Center (TACC)
The University of Texas at Austin
Email: natalie at tacc.utexas.edu<UrlBlockedError.aspx>

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