M. L. Verstraete, L. R. Ceballos, C. Hente, B. Roccia, C. Gebhardt
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引用次数: 0
Abstract
Reliable aerodynamic and aeroelastic simulations of advanced aeronautical/mechanical systems require us to predict flow-induced forces as accurately as possible. Nowadays, computational fluid dynamic techniques are quite popular, but at an overwhelming computational cost. Consequently, methods like the unsteady vortex-lattice method (UVLM) became the workhorses for many simulation environments. Then, numerous UVLM-based codes using diverse numerical schemes, enhanced by several add-ons and implemented following different programming paradigms, were available in the literature. However, there is no set of benchmark cases intended for the systematic verification of those codes relying on the UVLM. Therefore, we provide six fully reproducible benchmark cases that can be used for such an end. We also describe two in-house UVLM-based codes that are well suited for aerodynamic simulations and for being encapsulated as an aerodynamic engine within partitioned aeroelastic simulation schemes. Because both codes follow radically different implementation philosophies, these represent excellent candidates to undergo the series of benchmark cases proposed. The work is completed by providing a valuable dataset and comparison criteria to measure to what extent two or more codes are in agreement. Along this path, for very first time, we use a comparison strategy to contrast free-wake methods based on the Hausdorff distance.
期刊介绍:
This Journal is devoted to the dissemination of original archival research papers describing new theoretical developments, novel applications, and case studies regarding advances in aerospace computing, information, and networks and communication systems that address aerospace-specific issues. Issues related to signal processing, electromagnetics, antenna theory, and the basic networking hardware transmission technologies of a network are not within the scope of this journal. Topics include aerospace systems and software engineering; verification and validation of embedded systems; the field known as ‘big data,’ data analytics, machine learning, and knowledge management for aerospace systems; human-automation interaction and systems health management for aerospace systems. Applications of autonomous systems, systems engineering principles, and safety and mission assurance are of particular interest. The Journal also features Technical Notes that discuss particular technical innovations or applications in the topics described above. Papers are also sought that rigorously review the results of recent research developments. In addition to original research papers and reviews, the journal publishes articles that review books, conferences, social media, and new educational modes applicable to the scope of the Journal.