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    Bewertung der Ökologie, Wirtschaftlichkeit und sozialen Effekte von ressourceneffizienzsteigernden Maßnahmen auf Quartiersebene – von der volkswirtschaftlichen zur akteursspezifischen Perspektive (NaMaRes): Schlussbericht des Forschungsvorhabens 

    Volk, Rebekka; Naber, Elias; Schultmann, Frank; Lützkendorf, Thomas; Mörmann, Kai; norra, stefan; Boehnke, Denise; Krehl, Alice; Schuhmann, Rainer; Ehbrecht, Anke; Beck, Thomas; Tomaschewski, Philipp; Hackenbruch, Julia; Rosenberg, Sybille; Hacker, Norbert (2023)
    The NaMaRes project developed tools and recommendations to support sustainable and resource-efficient urban planning at the neighborhood level. The considered resources include water, materials, land, and ecosystem services. ...
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    Biegefestigkeit von Trägern aus kreissektorförmigen Lamellen 

    Windeck, Lukas (2022)
    Laminated Segment Timber (LST) consists of mutually glued trapezoidal lamellas made of Spruce. Due to the optimization of process parameters the wood yield can be increased to an average of 85 %. LST and layered LST are ...
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    Probabilistic Parametric Curves for Sequence Modeling 

    Hug, Ronny (2022)
    This work proposes a probabilistic extension to Bézier curves as a basis for effectively modeling stochastic processes with a bounded index set. The proposed stochastic process model is based on Mixture Density Networks ...
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    Experimental investigation and process simulation of the compression molding process of Sheet Molding Compound (SMC) with local reinforcements 

    Hohberg, Martin (2022)
    In this book, a new three-dimensional approach for the process simulation of SMC is developed. This approach takes into account both, the core layer that is dominated by the extensional viscosity and the thin lubrication ...
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    Thermische Untersuchungen an Laser-aktivierten Leuchtstoff-Systemen mit dynamischer Leuchtdichteverteilung 

    Vogl, Maximilian (2023)
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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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