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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=177771"><dc:title>Improved building design procedure based on trustable structural knowledge</dc:title><dc:creator>Friedman,	Noemi	(Avtor)
	</dc:creator><dc:creator>Kurent,	Blaž	(Avtor)
	</dc:creator><dc:creator>Popovics,	Bence	(Avtor)
	</dc:creator><dc:creator>Landi,	Filippo	(Avtor)
	</dc:creator><dc:creator>Chiachio Ruano,	Juan	(Avtor)
	</dc:creator><dc:creator>Croce,	Pietro	(Avtor)
	</dc:creator><dc:creator>Brank,	Boštjan	(Avtor)
	</dc:creator><dc:subject>structural design</dc:subject><dc:subject>measurements</dc:subject><dc:subject>trustable knowledge</dc:subject><dc:description>This paper presents how procedures of building design can be improved by integrating trustable structural knowledge. Such a procedure allows closing the gap between as-designed building behavior and as-built building behavior and is particularly crucial for innovative structures where extensive engineering expertise may be lacking. By leveraging validated engineering principles and data-driven insights, the proposed methodology ensures more reliable and predictable design outcomes. The framework emphasizes the importance of transparent building behavior, allowing continuous monitoring and iterative refinement for designers. It also highlights how evidence-based decision-making may enhance structural performance. The capacities of this approach are demonstrated through a real-world application, specifically by improving the vibration serviceability of tall structures made of cross laminated timber (CLT) panels. This is achieved by utilizing modal property measurements from two case study buildings and applying a generalized updating procedure to refine the scaling factor for the elastic moduli, adjusting the manufacturer’s assessed values of the CLT panels.</dc:description><dc:date>2025</dc:date><dc:date>2026-01-07 08:27:29</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>177771</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
