Cassol, D.; Danovska, M.; Prada, A.; Giongo, I. Timber-Based Strategies for Seismic Collapse Prevention and Energy Performance Improvement in Masonry Buildings. Sustainability2024, 16, 392.
Cassol, D.; Danovska, M.; Prada, A.; Giongo, I. Timber-Based Strategies for Seismic Collapse Prevention and Energy Performance Improvement in Masonry Buildings. Sustainability 2024, 16, 392.
Cassol, D.; Danovska, M.; Prada, A.; Giongo, I. Timber-Based Strategies for Seismic Collapse Prevention and Energy Performance Improvement in Masonry Buildings. Sustainability2024, 16, 392.
Cassol, D.; Danovska, M.; Prada, A.; Giongo, I. Timber-Based Strategies for Seismic Collapse Prevention and Energy Performance Improvement in Masonry Buildings. Sustainability 2024, 16, 392.
Abstract
This study investigates the effectiveness of a range of timber-based solutions for seismic and energy retrofitting of existing masonry buildings. These solutions are designed not only to prevent structural collapse during earthquakes but also to create integrated interventions that enhance thermo-physical performance and reduce emissions in existing buildings. Various case scenarios were considered and both mechanical and energetic behavior post-intervention were evaluated. Timber-engineered products serve as foundational components for the retrofit approach, encompassing one-dimensional vertical elements (strong-backs) and various types of panels (cross-laminated timber panels, laminated veneer lumber panels, and oriented strand board panels). The analyzed retrofit techniques share a common principle, involving the attachment of these timber-based elements to the building's wall surfaces through mechanical point-to-point connections. The proposed solutions integrate strong-backs and timber panels with membranes and insulation layers, yielding cohesive and highly effective interventions. Finite element modeling was employed to analyze the mechanical and thermal responses of the retrofitted walls. A comprehensive comparative analysis of various techniques was conducted to determine the most effective solution for each specific scenario.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
