Abstract
Masonry structures are the most prevalent type of buildings worldwide, and a significant portion are situated in seismic-prone areas. Thus, detailed information regarding their seismic strength and vulnerability is needed. The complexity of studying masonry structures lies in defining accurate and efficient models for representing masonry walls. In this context, there is a need for simplified methods that allow the modeling of masonry walls within a 3D structure. This work presents a methodology to define effective masonry properties from numerical analyses on representative volumes, using a damage model informed by experimental tests on units and mortar. These effective material properties serve as input parameters to model masonry walls within a macro-model approach, aiming to accurately capture the in-plane behavior and damage mechanisms with limited computational cost. The methodology is verified with experimental results and applied to real case studies in Cuenca, Ecuador.
| Original language | English |
|---|---|
| Article number | 102546 |
| Pages (from-to) | 1-20 |
| Number of pages | 20 |
| Journal | Results in Engineering |
| Volume | 23 |
| DOIs | |
| State | Published - Sep 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Damage
- Macro-model
- Masonry
- Micro-model
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Dive into the research topics of 'Effective properties of masonry structures and macro-model analysis with experimental verification'. Together they form a unique fingerprint.Projects
- 1 Finished
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Seismic damage scenarios of the built heritage of the Historic Center of Cuenca at individual and territorial scales
Garcia Erazo, H. A. (Director), Jimenez Pacheco, J. C. (Co-Director), Cabrera Cajamarca, J. E. (Research Technician), Calderon Brito, J. M. (Research Technician), Quezada Zambrano, R. A. (Research Technician), Quinde Viñansaca, J. A. (Research Technician), Morocho Arenillas, S. I. (Research Assistant) & Valdivieso Malo, J. J. (Research Assistant)
9/09/19 → 28/02/22
Project: Research
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