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Dieser Beitrag beschreibt die herkömmlichen Maßnahmen wie die Kapazitätsbemessung der Tragwerksstruktur, die Isolation des Bauwerks mittels Basisisolatoren, die Dämpfungserhöhung der Struktur mittels Inter-Story-Dämpfern und die Schwingungsreduktion mittels Schwingungstilgern gegen Einwirkungen durch Erdbeben, Wind, Verkehr und Personen auf die Bauwerke. Ergänzend wird die erdbebengerechte Auslegung und Isolation von nichttragenden Bauteilen behandelt. Für die betrachteten Systeme werden die Bewegungsdifferenzialgleichungen unter Berücksichtigung der wesentlichen Nichtlinearitäten angegeben. Die vorgestellten Weiterentwicklungen in den Bereichen der Basisisolatoren, Dämpfern und Schwingungstilgern zeigen, dass das modellbasierte Design mittels Simulation ein sehr effektives, ökonomisches und dank der heutigen Computerleistung auch zeiteffizientes Werkzeug darstellt.
The fourth industrial revolution presents a multitude of challenges for industries, one of which being the increased flexibility required of manufacturing lines as a result of increased consumer demand for individualised products. One solution to tackle this challenge is the digital twin, more specifically the standardised model of a digital twin also known as the asset administration shell. The standardisation of an industry wide communications tool is a critical step in enabling inter-company operations. This paper discusses the current state of asset administration shells, the frameworks used to host them and their problems that need to be addressed. To tackle these issues, we propose an event-based server capable of drastically reducing response times between assets and asset administration shells and a multi-agent system used for the orchestration and deployment of the shells in the field.
On the basis of bivariate data, assumed to be observations of independent copies of a random vector (S,N), we consider testing the hypothesis that the distribution of (S,N) belongs to the parametric class of distributions that arise with the compound Poisson exponential model. Typically, this model is used in stochastic hydrology, with N as the number of raindays, and S as total rainfall amount during a certain time period, or in actuarial science, with N as the number of losses, and S as total loss expenditure during a certain time period. The compound Poisson exponential model is characterized in the way that a specific transform associated with the distribution of (S,N) satisfies a certain differential equation. Mimicking the function part of this equation by substituting the empirical counterparts of the transform we obtain an expression the weighted integral of the square of which is used as test statistic. We deal with two variants of the latter, one of which being invariant under scale transformations of the S-part by fixed positive constants. Critical values are obtained by using a parametric bootstrap procedure. The asymptotic behavior of the tests is discussed. A simulation study demonstrates the performance of the tests in the finite sample case. The procedure is applied to rainfall data and to an actuarial dataset. A multivariate extension is also discussed.
FEM shakedown analysis of structures under random strength with chance constrained programming
(2022)
Direct methods, comprising limit and shakedown analysis, are a branch of computational mechanics. They play a significant role in mechanical and civil engineering design. The concept of direct methods aims to determine the ultimate load carrying capacity of structures beyond the elastic range. In practical problems, the direct methods lead to nonlinear convex optimization problems with a large number of variables and constraints. If strength and loading are random quantities, the shakedown analysis can be formulated as stochastic programming problem. In this paper, a method called chance constrained programming is presented, which is an effective method of stochastic programming to solve shakedown analysis problems under random conditions of strength. In this study, the loading is deterministic, and the strength is a normally or lognormally distributed variable.
Dieser Beitrag stellt einen Bewertungsrahmen für Smart Services vor, der auf dem Konzept vollständiger Finanzpläne (VOFI) basiert. Zunächst wird eine IoT-Architektur für Smart Services eingeführt, die die Grundlage für deren Betrachtung aus Sicht der Unternehmensplanung liefert. Hierauf aufbauend wird ein Bewertungsrahmen für die finanzplanorientierte Wirtschaftlichkeitsbewertung von Smart Services geschaffen, mit dem die relevanten Zahlungsfolgen differenziert erfasst werden. Mithilfe des entwickelten VOFI-Systems wird anschließend aufgezeigt, wie mithilfe einer Risikoanalyse die Unsicherheit von Modellparametern berücksichtigt werden kann.
Purpose
In the determination of the measurement uncertainty, the GUM procedure requires the building of a measurement model that establishes a functional relationship between the measurand and all influencing quantities. Since the effort of modelling as well as quantifying the measurement uncertainties depend on the number of influencing quantities considered, the aim of this study is to determine relevant influencing quantities and to remove irrelevant ones from the dataset.
Design/methodology/approach
In this work, it was investigated whether the effort of modelling for the determination of measurement uncertainty can be reduced by the use of feature selection (FS) methods. For this purpose, 9 different FS methods were tested on 16 artificial test datasets, whose properties (number of data points, number of features, complexity, features with low influence and redundant features) were varied via a design of experiments.
Findings
Based on a success metric, the stability, universality and complexity of the method, two FS methods could be identified that reliably identify relevant and irrelevant influencing quantities for a measurement model.
Originality/value
For the first time, FS methods were applied to datasets with properties of classical measurement processes. The simulation-based results serve as a basis for further research in the field of FS for measurement models. The identified algorithms will be applied to real measurement processes in the future.
trust me
(2022)
"trust me" ist eine schwarz-weiß Fotoserie, präsentiert als Diashow mit unterlegtem Soundtrack. Es geht um das Vertrauen zwischen Model, Fotografin und Betrachter:innen. Die Darsteller sind ausschließlich homosexuelle Männer und begeben sich in intime Situationen und Posen. Die Fotos sind überwiegend Aktaufnahmen und nehmen eine pornografische Richtung an. Die Fragestellung zu Beginn war, wie weit vertrauen die unerfahrenen Models der Fotografin und was sind diese bereit, von sich zu zeigen. Die offene Kommunikation über die Richtung des Projekts war die essenzielle Basis für die Fotoshootings. Während des Fotografierens lag der Fokus auf möglichst verschiedenen Blickwinkeln, Kulissen, Ausleuchtungen und Motiven. Zusätzlich war der sensible Umgang mit den Männern eine Vertrauensprobe."trust me" lässt auf diversen Ebenen tief blicken und zeigt, wie loslassen aussieht.
Das wahre Gewicht des Smartphones : eine informative Erfahrung zu den ökologischen Auswirkungen
(2022)
Das Smartphone gehört zu den innovativsten Geräten unserer Zeit und befindet sich in einem ständigen Wandel, der nach immer mehr Leistung, größeren Displays und besseren Kameras strebt. Mit neuen Modellen, die jährlich auf den Markt kommen und den Milliarden Smartphones, die verkauft werden, entsteht aber nicht nur ein großer Markt voller Angebote, sondern gleichzeitig große Probleme für unsere Umwelt und letztlich auch für uns. Die Smartphone-Industrie schadet massiv unserem Ökosystem.
Das Ziel der Arbeit ist die Aufklärung über die Auswirkungen der Smartphone-Industrie. Dafür wurden Visualisierung zu Daten und Prozessen gestaltet, die viele Aspekte des Lebenszyklus des Smartphones mit einbeziehen. Die Betrachter:innen sollen so informativ aufgeklärt werden, ihren eigenen Konsum zu dem Thema überdenken und ein Bewusstsein für ihren Elektronikverbrauch entwickeln.
The European Union's aim to become climate neutral by 2050 necessitates ambitious efforts to reduce carbon emissions. Large reductions can be attained particularly in energy intensive sectors like iron and steel. In order to prevent the relocation of such industries outside the EU in the course of tightening environmental regulations, the establishment of a climate club jointly with other large emitters and alternatively the unilateral implementation of an international cross-border carbon tax mechanism are proposed. This article focuses on the latter option choosing the steel sector as an example. In particular, we investigate the financial conditions under which a European cross border mechanism is capable to protect hydrogen-based steel production routes employed in Europe against more polluting competition from abroad. By using a floor price model, we assess the competitiveness of different steel production routes in selected countries. We evaluate the climate friendliness of steel production on the basis of specific GHG emissions. In addition, we utilize an input-output price model. It enables us to assess impacts of rising cost of steel production on commodities using steel as intermediates. Our results raise concerns that a cross-border tax mechanism will not suffice to bring about competitiveness of hydrogen-based steel production in Europe because the cost tends to remain higher than the cost of steel production in e.g. China. Steel is a classic example for a good used mainly as intermediate for other products. Therefore, a cross-border tax mechanism for steel will increase the price of products produced in the EU that require steel as an input. This can in turn adversely affect competitiveness of these sectors. Hence, the effects of higher steel costs on European exports should be borne in mind and could require the cross-border adjustment mechanism to also subsidize exports.