ABSTRACT
The analysis of "Survey Participation in the Time of Corona" is replicated by taking a more recent survey into account that was conducted one year later during the same period. The results clearly indicate that the temporary public shutdown in spring 2020 indeed boosted the panellists’ participation at the initial stage of the survey. © 2022Author(s).
ABSTRACT
The singular effect of a public shutdown in spring 2020—as a result of non-pharmaceutical official orders and arrangements in the course of the COVID-19 pandemic—on survey participation is investigated. The analysis is focused on panellists born around 1997 and living in German-speaking cantons of Switzerland. Utilising the techniques and procedures of event history analysis, the paradata of the fieldwork period are analysed in a dynamic micro–macro design. Several competing time-varying effects on the panellists’ survey participation and changes in the pandemic progress are controlled for, in addition to time-constant covariates, such as their education and social origin. Indeed, it becomes obvious that the public shutdown during the first wave of the pandemic improved the target persons’ propensity for survey participation. © 2022Author(s).
ABSTRACT
Aviation is undergoing a transformation, fueled by the Corona pandemic, and methods to evaluate new technologies for more economical and environment-friendly flight in a timelier manner and to enable new aircraft to be designed (almost) exclusively using computers are sought after. The DLR project Victoria brings together disciplinary methods and tools of different fidelity for collaborative multidisciplinary design optimization (MDO) of long-range passenger aircraft configurations, necessitating the use of high-performance computing. Three different approaches are being followed to master complex interactions of disciplines and software aspects: an integrated aero-structural wing optimization based on high-fidelity methods, a multi-fidelity gradient-based approach capable of efficiently dealing with many design parameters and many load cases, and a many-discipline highly-parallel approach, which is a novel approach towards computationally demanding and collaboration intensive MDO. The XRF-1, an Airbus provided research aircraft configuration representing a typical long-range wide-body aircraft, is used as a common test case to demonstrate the different MDO strategies. Parametric disciplinary models are used in terms of overall aircraft design synthesis, loads analysis, flutter, structural analysis and optimization, engine design, and aircraft performance. The different MDO strategies are shown to be effective in dealing with complex, real-world MDO problems in a highly collaborative, cross-institutional design environment, involving many disciplinary groups and experts and a mix of commercial and in-house design and analysis software. © 2021 32nd Congress of the International Council of the Aeronautical Sciences, ICAS 2021. All rights reserved.