Aviation authorities require, from aircraft seat manufacturers, specific performance metrics that maximize the occupants’ chances of survival in the case of an emergency landing and allow for the safe evacuation of the aircraft cabin. Therefore, aircraft seats must comply with specific requirements with respect to their structural integrity and potential occupant injuries, which are certified through the conduction of costly, full-scale tests. To reduce certification costs, computer-aided methods such as finite element analysis can simulate and predict the responses of different seat configuration concepts and potentially save time and development costs. This work presents one of the major steps of an aircraft seat development, which is the design and study of preliminary design concepts, whose structural and biomechanical response will determine whether the concept seat model is approved for the next steps of development. More specifically, a three-occupant aircraft seat configuration is studied for crash landing load cases and is subjected to modification iterations from a baseline design to a composite one for its structural performance, its weight reduction and the reduction of forces transmitted to the passengers.
Tis the study and construction of covering arrays, relying on maximal period sequences and other tools from finite fields. A covering array of strength t, denoted CA(N; t, k, v), is an N × k array with entries from an alphabet A of size v, with the property that in the N × t subarray defined by any t columns, each of the v t vectors in A t appears at least once as a row. Covering arrays generalize orthogonal arrays, which are classic combinatorial objects that have been studied extensively. Constructing covering arrays with a small rowto-column ratio is important in the design of statistical experiments, however it is also a challenging mathematical problem.Linear feedback shift register (LFSR) sequences are sequences of elements from a finite field that satisfy a linear recurrence relation. It is well-known that these are periodic; LFSR sequences that attain the maximum possible period are maximal (period) sequences, often abbreviated to m-sequences in the literature. Arrays constructed from cyclic shifts of maximal sequences possess strong combinatorial properties and have been previously used to construct orthogonal and covering arrays [62], although only one of the known constructions is for covering arrays that are not orthogonal arrays [75]. In this thesis we present several new such constructions.The cornerstone of our results is a study of the combinatorial properties of arrays constructed from maximal sequences, where we make fundamental connections with concepts from diverse areas of discrete mathematics, such as orthogonal arrays, error-correcting codes, divisibility of polynomials and structures of finite geometry.One aspect of our work involves concatenating arrays corresponding to different maximal sequences and finding subarrays that are covering arrays. We express this as an optimization problem, to which we give an algorithmic solution based on backtracking, an underlying finite field theory and connections to other combinatorial objects. The results of our experiments include 37 new covering arrays of strength 4 and one of strength 5.For integers v ≥ 2, we introduce cyclic trace arrays modulo v, a variation of arrays from maximal sequences that we study using finite field characters -homomorphisms from the finite field to the unit circle of complex numbers. In particular, we use well-known bounds on character sums to derive conditions subject to which cyclic trace arrays modulo v are covering arrays, and we present new infinite families of covering arrays of strengths 3 and 4, as well as one of arbitrary strength which appears to be the second such family in the known literature [25]. We also express the number of times that different vectors appear in the rows of a cyclic trace array modulo v as the solution of a linear program. iv To my parents, Maro and Nikos vi F, I would like to thank Daniel Panario. Having him as my advisor was a privilege; the guidance, opportunities and friendship that he offered will always be deeply appreciated. I am also most grateful for having met and worked with Lu...
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.