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DTSTART;TZID=Europe/Paris:20260720T170000
DTEND;TZID=Europe/Paris:20260720T183000
DTSTAMP:20260717T153707Z
CREATED:20260716T083800Z
LAST-MODIFIED:20260717T153707Z
UID:2278-1784566800-1784572200@ceec-coe.eu
SUMMARY:CEEC at WCCM - ECCOMAS 2026
DESCRIPTION:Join us in Munich for the 17th World Congress on Computational Mechanics 10th European Congress on Computational Methods in Applied Sciences and Engineering (WCCM – ECCOMAS 2026 ) for a talk called\, “Adjoint Methods Using POD State Reconstructions on Modern HPC Architectures.” \nPart of the mini-symposium MS349B Topology\, Shape And Parameter Optimisation For Time-Dependent Systems II\, the talk given by our own Harrison Nobis  discusses the potential for placing checkpointing with Proper Orthogonal Decomposition to make adjoint sensitivity analysis  in CFD more efficient and better suited to modern heterogeneous architectures. \nAccessing the full time history of the state\, either through direct storage or checkpointing and recomputation\, can make adjoint sensitivity analysis of dynamical systems prohibitively costly over long time integration periods. This is particularly relevant in large scale Computational Fluid Dynamics (CFD) applications consisting of time averaged objective functions that may require long integration periods to converge. In this work we investigate integrating the adjoint system through a truncated reconstruction of the forward state based on a Proper Orthogonal Decomposition (POD). The forward and adjoint computations are performed using the GPU based spectral element solver Neko\, meanwhile the POD computation is performed in-situ using the data processing toolbox pySEMTools. The POD algorithm is both parallel in space and streaming in time\, enabling the use in large scale CFD applications. While similar methodologies have been explored in the past\, a salient feature of the proposed method relates to modern HPC architectures consisting of both CPUs and GPUs. Performing the CFD simulation on the GPUs allows the otherwise idle CPUs to be leveraged in performing the POD computation\, again\, reducing the overall cost. The proposed methodology is compared to the conventional method of checkpointing both in terms of cost reduction and errors incurred at various levels of POD truncation.
URL:https://ceec-coe.eu/event/ceec-at-wccm-eccomas-2026/
CATEGORIES:Conference,mini-symposium,Paper Talk
ATTACH;FMTTYPE=image/gif:https://ceec-coe.eu/wp-content/uploads/2026/07/WCCM-–-ECCOMAS--e1784302588842.gif
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BEGIN:VEVENT
DTSTART;TZID=Asia/Tokyo:20260611T081000
DTEND;TZID=Asia/Tokyo:20260611T083000
DTSTAMP:20260518T084142Z
CREATED:20260518T084142Z
LAST-MODIFIED:20260518T084142Z
UID:2121-1781165400-1781166600@ceec-coe.eu
SUMMARY:Calibration of Analytical Suction Bucket Installation Models Using Grain-Scale LBM-DEM Simulations
DESCRIPTION:If you’re at the 45th International Conference on Ocean\, Offshore & Arctic Engineering (OMAE2026) in Tokyo this June\, don’t miss the presentation from our own Samual Kemmler on “Calibration of Analytical Suction Bucket Installation Models Using Grain-Scale LBM-DEM Simulations.” \nSuction bucket foundations offer significant advantages for offshore wind applications\, enabling fast and cost-efficient installation. However\, installation failures due to piping erosion remain a critical challenge\, particularly in loose or highly permeable seabeds. Understanding the interplay between seepage flow\, soil properties\, and foundation geometry during suction installation is essential for improving design guidelines and installation strategies.\nIn this contribution\, fully-resolved numerical simulations are provided\, that allow a detailed\, grain-scale view of the suction installation process. A coupled Lattice Boltzmann-Discrete Element Method (LBM-DEM) framework is employed\, in which fluid flow is resolved at a scale significantly finer than the particle size. This allows to capture pore-scale flow effects\, particle rearrangements\, and evolving soil resistance during installation\, offering a higher level of detail compared to unresolved or continuum methods.\nThe modeling approach is used to explore how soil characteristics and installation parameters influence the development of piping erosion and the resulting installation performance. By systematically varying key parameters\, conditions are identified that promote either stable penetration or the onset of piping erosion\, highlighting the critical role of seepage near the skirt tip. Beyond identifying failure envelopes\, the simulations provide micromechanical insight into how local forces\, flow paths\, and soil resistance evolve as erosion initiates and progresses. These insights enable the critical examination of common assumptions regarding resistance distribution inside and outside the bucket during suction-driven installation.\nAdditionally\, the fully resolved simulation data can serve as a reference for calibrating and improving continuum-based models\, bridging the gap between particle-scale mechanisms and engineering-scale predictive tools. The results illustrate how fully resolved LBM-DEM modeling can complement experimental and field studies\, providing a powerful tool for developing more robust suction bucket installation strategies in challenging seabed conditions.
URL:https://ceec-coe.eu/event/calibration-of-analytical-suction-bucket-installation-models-using-grain-scale-lbm-dem-simulations/
CATEGORIES:Conference,Paper Talk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260128T120000
DTEND;TZID=Europe/Paris:20260128T123000
DTSTAMP:20260126T131312Z
CREATED:20260126T131141Z
LAST-MODIFIED:20260126T131312Z
UID:1978-1769601600-1769603400@ceec-coe.eu
SUMMARY:A Matrix-Free Algebraic hp-Multigrid Method for Computational Fluid Dynamics Applications
DESCRIPTION:After the talk on preconditioners in Osaka\, Japan at SCA/HPCAsia2026 \, stick with Niclas Jannson for his next talk on “A Matrix-Free Algebraic hp-Multigrid Method for Computational Fluid Dynamics Application.\, a best paper finalist. “
URL:https://ceec-coe.eu/event/a-matrix-free-algebraic-hp-multigrid-method-for-computational-fluid-dynamics-applications/
CATEGORIES:Conference,Paper Talk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260128T113000
DTEND;TZID=Europe/Paris:20260128T120000
DTSTAMP:20260126T125309Z
CREATED:20260126T125309Z
LAST-MODIFIED:20260126T125309Z
UID:1976-1769599800-1769601600@ceec-coe.eu
SUMMARY:Task-decomposed Overlapped Preconditioner for Sustained Strong Scalability on Accelerated Exascale Systems
DESCRIPTION:Join Niclas Jannson in Osaka\, Japan at SCA/HPCAsia2026 for his talk on “Task-decomposed Overlapped Preconditioner for Sustained Strong Scalability on Accelerated Exascale Systems.”
URL:https://ceec-coe.eu/event/task-decomposed-overlapped-preconditioner-for-sustained-strong-scalability-on-accelerated-exascale-systems/
CATEGORIES:Conference,Paper Talk
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