Author: Bryam Astudillo
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Symposium on Surge/Wave Loads on Buildings
On July 30, 2025, Professor Barbara Simpson presented “To what extent do waves interact with structures” at the Symposium on Surge/Wave Loads on Buildings at Oregon State University. The event brought together researchers to exchange knowledge on numerical and physical modeling of surge and wave impacts, with a focus on overland flow from hurricanes and…
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Akiri Seki presented at Stanford University SEM Summer Seminar
Last week at Stanford University, Akiri Seki spoke in the SEM Summer Student Seminar Series. His presentation, “How can we get the experimental data for fluid‑structure interaction (FSI) problems?”, highlighted key challenges and methods for acquiring experimental data in FSI research. Great job representing the lab, Akiri! 👏
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📢 New Data Paper is available!
We’re excited to share a newly published data paper in the Japan Architectural Review, featuring research conducted as part of the US-Japan Collaborative Research: Frame-Spine System with Force-Limiting Connections for Low-Damage Seismic Resilient Buildings. Funded by NSF (Award No. CMMI 1926326). This data paper presents results from E-Defense shake-table tests of a full-scale steel moment-resisting…
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Congratulations to Yun and Morgan for advancing to PhD candidacy!
We’re thrilled to celebrate our lab members, Yun Ni and Morgan McBain, for successfully passing their General Qualifying Exam! Their dedication and hard work truly paid off — well done!
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Showcasing Innovation in Structural Design at the Stanford Engineering Centennial
Our group had the opportunity to participate in the Stanford Engineering Centennial Showcase, where we presented our research on Mass Timber Rocking Walls with Buckling-Restrained Boundary Elements (BRBs)—a system targeting sustainable and seismic structural performance. At the event, we showed a scaled physical model subjected to a ground motion record, illustrating the dynamic rocking motion…
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Simpson Lab Awarded 2025 Stanford Doerr School of Sustainability Discovery Grant
The Simpson Lab, along with collaborators, has been awarded a 2025 Discovery Grant from the Stanford Doerr School of Sustainability. This interdisciplinary grant supports research aimed at advancing sustainability solutions for people and the planet. Postdoctoral researcher Shayan Razi contributed to the proposal development and will support the project through research on infrastructure resilience and…
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Conference Presentation at Wind Energy Science Conference 2025
Akiri Seki, Yun Ni, Bret Bosma, Barbara Simpson, Bryson Robertson, Ted Brekken, Bryony DuPont, Andreas Schellenberg, and Pedro Lomonaco will present their paper, “Hydro-real time hybrid simulation framework for floating offshore wind turbines subjected to simultaneous aero- and hydro-dynamics”, at the Wind Energy Science Conference 2025 in Nantes, France from 24-27 June 2025.
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Guest Speaker: Dr. Matsui from Hokkaido University
We were pleased to host Dr. Matsui, Associate Professor at Hokkaido University, Japan, as a guest speaker during our group meeting on April 4, 2025. Dr. Matsui shared insights from his ongoing research on steel structures, sparking engaging discussions and an exchange of ideas.
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Akiri Seki delivered a Guest Talk at Climate Innovation Hub Tokyo
Akiri Seki was invited as a guest speaker at the Climate Innovation Hub Tokyo. He presented (in Japanese) on the role of Hybrid Real-Time Hybrid Simulation (Hydro-RTHS) in supporting the development of Floating Offshore Wind Turbines (FOWTs), highlighting the advanced simulation techniques used in our lab to advance renewable energy infrastructure.
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New Dataset Published on DesignSafe
A new dataset from our collaborative project has been published on DesignSafe:PRJ-2840 | Collaborative Research: Frame-Spine System with Force-Limiting Connections for Low-Damage Seismic Resilient Buildings. https://doi.org/10.17603/ds2-e159-v458. Ph.D. student Bryam Astudillo contributed to this project as part of his research on advanced structural systems for enhanced performance seismic design. The dataset includes experimental results and supporting…