https://jfde.eu/index.php/jfde/issue/feedJournal of Facade Design and Engineering2025-01-16T21:51:37+01:00JFDE Editor[email protected]Open Journal Systems<p>The <em>Journal of Facade Design and Engineering (JFDE)</em> presents new research results and new proven practice of the field of facade design and engineering. The goal is to improve building technologies, as well as process management and architectural design.</p>https://jfde.eu/index.php/jfde/article/view/299Façade Design Pattern Optimization Workflow Through Visual Spatial Frequency Analysis and Structural Safety Assessment2024-11-03T18:11:31+01:00Martin Ivanov[email protected]Jun Sato[email protected]<p>As the demand for highly efficient yet aesthetically pleasing, complex building envelope structures is rising worldwide, computational analysis and generative design tools are becoming ever so relevant. Previous methods for achieving a natural distribution of structural or shading elements in non-uniform façades are mostly based either on computer-generated pseudo-randomness or a literal biomorphic approach where a naturally occurring pattern is directly projected on the façade surface. As an alternative, this research introduces a novel technique for optimisation that utilises a two-dimensional Power Spectrum Analysis, suitable for numerically assessing the alignment of designed geometry with natural patterns. By integrating this optimisation method into the design process, the façade pattern generation can be automated and optimal design can be selected by evaluating multiple design solutions. Instead of using repetitive geometrical patterns or generated pseudo-randomness, patterns objectively similar to those occurring in nature can be created without directly copying natural structures. The distribution of the structural and shading elements controls the way natural light permeates the building and, considering the data gathered from images of natural scenes, this method can be used to design structures not only with optimal structural and energy performance but also with visual and psychological occupant comfort in mind.</p>2024-11-03T00:00:00+01:00Copyright (c) 2024 Martin Ivanov, Jun Satohttps://jfde.eu/index.php/jfde/article/view/305Data-driven and LCA-based Framework for environmental and circular assessment of Modular Curtain Walls2024-07-06T22:04:38+02:00Luca Morganti[email protected]Peru Elguezabal Esnarrizaga[email protected]Alessandro Pracucci[email protected]Theo Zaffagnini[email protected]Veronica Garcia Cortes[email protected]Andreas Rudenå[email protected]Birgit Brunklaus[email protected]Julen Astudillo Larraz[email protected]<p>To assist the sustainable development of the building sector, designers require tools illustrating the most viable design options. This paper, starting by presenting the opportunities and limitations of the Life Cycle Assessment (LCA) methodology and Digital Product Passport (DPP) instrument when applied to Custom Modules for Curtain Walls, proposes a Semantic Data-driven Framework to facilitate the design of low-carbon and circular façade modules. Based on literature and the practical outcome of the H2020 project Basajaun, this framework integrates computer-aided technologies that manufacturing companies commonly employ to automate an efficient sustainability assessment process using primary data. This solution innovates industrial process management and architectural design and supports the creation of greener products. It also facilitates the output of documents supporting end-of-life scenarios. The development methodology involves investigating required quantitative project data, environmental factors, and circularity information, as well as the definition of flowcharts for the Life Cycle Inventory, extending a best practice for the façade module’s DPP. Furthermore, the methodology implicates data collection and IT implementation and organisation. This is through the definition of an ontology conceived for interconnection between digital systems. The findings shall contribute to implementing the LCA and DPP practices for custom prefabricated façade modules and suggest areas for further development. Challenges include obtaining and sharing data on environmental impacts and circularity, but involving stakeholders and addressing technical limitations can improve sustainability.</p>2024-07-06T00:00:00+02:00Copyright (c) 2024 Luca Morganti, Peru Elguezabal Esnarrizaga, Alessandro Pracucci, Theo Zaffagnini, Veronica Garcia Cortes, Andreas Rudenå, Birgit Brunklaus, Julen Astudillo Larrazhttps://jfde.eu/index.php/jfde/article/view/325Integration of a 3D-Printed Façade Unit in a Curtain Wall System2025-01-16T21:51:37+01:00Francesco Milano[email protected]Ringo Perez Gamote[email protected]Nik Eftekhar Olivo[email protected]Valeria Piccioni[email protected]Po Yen Chen[email protected]Caitlin Gallagher[email protected]Arno Schlüter[email protected]Benjamin Dillenburger[email protected]Andreas Luible[email protected]Fabio Gramazio[email protected]Matthias Kohler[email protected]<p>Plastic materials, known for their lightweight, formability, transparency, and durability, are the state of the art for building façade applications. Recent advances in Large-Scale Robotic 3D Printing (LSR3DP) have enabled the production of bespoke, translucent façade components. While research has largely focused on individual panel properties, there is a gap in developing a comprehensive strategy for integrating these components into a complete façade system. This paper explores the potential of combining custom 3D-printed façade elements with standard curtain wall connections. Quantitative analysis involves constructing and testing a 1 m x 1 m LSR3DP façade assembly for air and water tightness, benchmarking its performance against a conventional curtain wall. Qualitatively, the approach is evaluated through a mock-up, highlighting the architectural possibilities of blending standard and non-standard façade elements. The findings demonstrate that this hybrid system is both technically viable and opens new design possibilities for architects and façade engineers.</p>2024-12-06T00:00:00+01:00Copyright (c) 2024 Francesco Milano, Ringo Perez Gamote, Nik Eftekhar Olivo, Valeria Piccioni, Po Yen Chen, Caitlin Gallagher, Arno Schlüter, Benjamin Dillenburger, Andreas Luible, Fabio Gramazio, Matthias Kohler