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High fidelity modeling and simulation of SFS interaction: Energy dissipation by design
Published in Rolando P. Orense, Nawawi Chouw, Michael J. Pender, Soil-Foundation-Structure Interaction, 2010
Interplay of Earthquake, Soil, Foundation and Structure dynamics in time domain plays a major role in catastrophic failures and great successes. High fidelity modeling and simulation offers an unprecedented opportunity to improve design. The ability to model and simulate flow of seismic energy in the SFS system with high fidelity, makes it possible to design energy dissipation in most economical way, in soil, Directing, in space and time, seismic energy flow in the SFS system will lead to increase in safety and economy. The main purpose of this brief paper was to overview modeling and simulations issues and show illustrative examples of directing energy flow for SFS systems.
The Future of Training and Assessing Non-Technical Skills
Published in Matthew J. W. Thomas, Training and Assessing Non-Technical Skills, 2017
One of these technologies with considerable potential is that of virtual reality training environments. Virtual reality has been used for a considerable time in the training of technical skills, including skills as diverse as welding and laparoscopic surgery. However, with recent technological advancements, it is now possible to create virtual reality immersive worlds whereby remote individuals can interact in a virtual space. This provides opportunities to create high-fidelity simulation environments without the expensive investment in simulation hardware.
Computer Simulator-Based Load Analysis
Published in Yu Ding, Data Science for Wind Energy, 2019
Running computer simulators is to reduce cost by not conducting too many physical experiments, either too expensive, or too time consuming, or unrealistic. But running computer simulators incurs its own cost, in the form of computational expense. Depending on the fidelity of a computer simulator, the time to run one simulation replication ranges from a couple of minutes (low-fidelity ones) to hours or even days (high-fidelity ones).
Sequential approximate optimization with adaptive parallel infill strategy assisted by inaccurate Pareto front
Published in Optimization Methods and Software, 2022
Wenjie Wang, Pengyu Wang, Jiawei Yang, Fei Xiao, Weihua Zhang, Zeping Wu
Over recent decades, with the development of numerical calculation theory and supercomputing capability, high-fidelity discipline simulation models are widely employed in modern engineering design problems. The high-fidelity discipline simulation models (e.g. finite element analysis model, computational fluid dynamics model) have the capacity to capture the complex physics of real-world phenomena with high accuracy, which means enhancements in the quality and the reliability of the design results. Nonetheless, using high-fidelity discipline simulation models in engineering design problems also incurs tremendous computational costs, especially in engineering optimization design problems with expensive discipline simulation models. Hence, conventional optimization algorithms such as genetic algorithm method, particle swarm optimization method, etc. can hardly solve engineering design problems with high-fidelity discipline simulation models caused by unacceptable computational budgets.
Direct Numerical Simulation and Wall-Resolved Large Eddy Simulation in Nuclear Thermal Hydraulics
Published in Nuclear Technology, 2020
Iztok Tiselj, Cedric Flageul, Jure Oder
Direct numerical simulations (DNSs) and wall-resolved large eddy simulations (LESs), often denoted with common-name high-fidelity simulations, represent an important research tool in fluid dynamics and heat and mass transfer. These tools complement the experimental work and industrial computational fluid dynamics (CFD) methods based on Reynolds Averaged Navier-Stokes (RANS) models of turbulence. Data obtained with carefully performed high-fidelity simulations can have the same status as accurate measurements. These data are relevant for certain rather simple geometries at low and moderate Reynolds numbers and can elucidate the details of the flow structures that cannot be reproduced with less accurate RANS models, especially for flows with strong separations of the boundary layers and reattachments. Two examples of such flows presented in this critical review are flow over backward-facing step (BFS) and the flow through the pebble bed reactor. And while the BFS flow can be accurately assessed with experiments, pebble beds are very challenging for experimental observations. In such cases, high-fidelity methods are thus the best option to obtain accurately resolved data without the introduction of significant modeling uncertainties or experimental distortions.
Digital engineering: expanding the advantage
Published in Journal of Marine Engineering & Technology, 2022
Additionally, demands for computing, data storage, and networking will increase as M&S activities become more prevalent across the ship lifecycle. These infrastructure requirements will be driven by the models, simulations, and simulators required by new platforms. For example, high fidelity, complex simulations require increased speeds in computing to include parallel processing and high-performance computing assets.