Structural Analysis and Performance-Based Validation of a Composite Wing Spar

Electric-motor powered aircraft possess the ability to operate with efficient energy delivery, but lack the operational range of internal combustion engine powered aircraft. This range limitation requires the use of high aspect ratio, thin-chord wings to minimize aerodynamic drag losses, which results in highly loaded composite spar structures. High aspect ratio wings are required to increase mission durations for a NASA-developed experimental multi-rotor electric powered aircraft denoted as the Scalable Convergent Electric Propulsion Technology and Operations Research (SCEPTOR) or X-57. This paper examines the structural performance of the composite main wing spars to validate spar strength using ply-based laminate finite element methods. Geometric scaling of a main spar test-section was initially proposed for proof-testing but sacrificed stability. Ply-based structures modeling with local structural features was implemented as a risk-reduction methodology. Ply-based modeling was selected to augment the conventional building block approach to reduce risk, and leverage a performance-based approval processes encouraged in Federal Aviation Administration (FAA) design guidance. Therefore, ply-based laminate modeling of the full-scale main spar and forward spar shear-web attachments were subsequently undertaken to determine load path complexity with predicted flight loads. Ply-based modeling included stress concentrations and interlaminate behavior at interface locations that can be obscured in traditional finite element sizing models. Analysis of the wing spar laminate ply-based models compared with bearing test coupon performance was used to reduce future wing assembly proof-testing burden and facilitate performance-based flight hardware safety for the X-57 experimental aircraft

Has the Last Word Been Spoken Concerning Appendicitis?

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Quantitative Analysis of Electrotonic Structure and Membrane Properties of NMDA-Activated Lamprey Spinal Neurons

Parameter optimization methods were used to quantitatively analyze frequency-domain-voltage-clamp data of NMDA-activated lamprey spinal neurons simultaneously over a wide range of membrane potentials. A neuronal cable model was used to explicitly take into account receptors located on the dendritic trees. The driving point membrane admittance was measured from the cell soma in response to a Fourier synthesized point voltage clamp stimulus. The data were fitted to an equivalent cable model consisting of a single lumped soma compartment coupled resistively to a series of equal dendritic compartments. The model contains voltage-dependent NMDA sensitive (INMDA), slow potassium (IK), and leakage (IL) currents. Both the passive cable properties and the voltage dependence of ion channel kinetics were estimated, including the electrotonic structure of the cell, the steady-state gating characteristics, and the time constants for particular voltage- and time-dependent ionic conductances. An alternate kinetic formulation was developed that consisted of steady-state values for the gating parameters and their time constants at half-activation values as well as slopes of these parameters at half-activation. This procedure allowed independent restrictions on the magnitude and slope of both the steady-state gating variable and its associated time constant. Quantitative estimates of the voltage-dependent membrane ion conductances and their kinetic parameters were used to solve the nonlinear equations describing dynamic responses. The model accurately predicts current clamp responses and is consistent with experimentally measured TTX-resistant NMDA-induced patterned activity. In summary, an analysis method is developed that provides a pragmatic approach to quantitatively describe a nonlinear neuronal system

Student perceptions of the learning environment under a quarter system

This study is the first phase of a longitudinal research project to determine the effects of the learning environment of the change at Iowa State University from a quarter to a semester form of academic calendar. Specifically, this study examined whether student perceptions of the quarter system learning environment differed based on grade point average, classification (year in school), college affiliation, and level of involvement in student organizations. Significant differences were noted on each of these variables;Based on grade point average, four of the eight factors, three of the four couplets, and three of the eight individual items resulted in significant differences. Excellent students perceived the quarter system more favorably and indicated a stronger desire to learn, more faculty interaction and a stronger belief that the curriculum was broadening and challenging. Poor students felt more fragmentation and pressure and perceived the semester system more favorably;Classification resulted in significant differences on three factors, two couplets, and five individual items. Graduate and undergraduate students perceived the environment very differently. Seniors perceived the environment differently than freshmen. Graduate students reported a stronger desire to learn, more interaction with the faculty, and a stronger preference for the semester system. Seniors reported more interaction with the faculty and a preference for the quarter system. Freshmen perceived more advantages to the semester system;The only college difference was between Graduate College students when compared to all undergraduates. The results were similar to the classification results;Students involved in two or more organizations expressed greater satisfaction with their decision to attend ISU and with the ISU learning environment than uninvolved students. They also perceived a higher level of student interaction with other students, and less fragmentation in the ISU learning environment;In summary, student perceptions of the ISU learning environment were significantly affected by the variables examined in this study

Failure analysis of a Stirling engine heat pipe

Failure analysis was conducted on a heat pipe from a Stirling Engine test rig which was designed to operate at 1073 K. Premature failure had occurred due to localized overheating at the leading edge of the evaporator fin. It was found that a crack had allowed air to enter the fin and react with the sodium coolant. The origin of the crack was found to be located at the inner surface of the Inconel 600 fin where severe intergranular corrosion had taken place

How Hidden are Hidden Processes? A Primer on Crypticity and Entropy Convergence

We investigate a stationary process's crypticity---a measure of the difference between its hidden state information and its observed information---using the causal states of computational mechanics. Here, we motivate crypticity and cryptic order as physically meaningful quantities that monitor how hidden a hidden process is. This is done by recasting previous results on the convergence of block entropy and block-state entropy in a geometric setting, one that is more intuitive and that leads to a number of new results. For example, we connect crypticity to how an observer synchronizes to a process. We show that the block-causal-state entropy is a convex function of block length. We give a complete analysis of spin chains. We present a classification scheme that surveys stationary processes in terms of their possible cryptic and Markov orders. We illustrate related entropy convergence behaviors using a new form of foliated information diagram. Finally, along the way, we provide a variety of interpretations of crypticity and cryptic order to establish their naturalness and pervasiveness. Hopefully, these will inspire new applications in spatially extended and network dynamical systems.Comment: 18 pages, 18 figures; http://csc.ucdavis.edu/~cmg/compmech/pubs/iacp2.ht