A Simplified Analytical Modeling Approach for the Structural Analysis of Massive Masonry Structures
Loading...

Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
Univ Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao
Open Access Color
GOLD
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
This paper, presents a simplified analytical modeling approach to determine the structural behavior of historical buildings. Analytical modeling is a digital tool for determining the behavior of masonry buildings under the influence of dynamic and static loads. In the analytical modeling process, different types of elements are involved to represent buildings. Due to the complex geometrical features of historical buildings, it is significant to the preference for convenient elements. Mardin Great Mosque was discussed and analyzed for the selection of convenient element preferences. Three different mosque models were built and analyzed by using three different element types (frame, shell, solid). In the findings of the paper, the values at the same points on the models were compared. When the first natural vibration period was examined, the first model is 0.76sec, the second model is 0.76sec, and the third model is 0.71sec. In addition, considering the base shear under dead load, 98.35% similarity was observed. As a consequence of the geometrical features of historical buildings, inappropriate definitions and inconvenient element preferences emerge the results questionable. Therefore, to be able to manage the analytical modeling process effectively requires accurate and appropriate definitions of the elements to be preferred.
Description
Keywords
Analytical Model, Finite Element Analysis, Mardin, Masonry Structures, Structural Behavior
Fields of Science
Citation
WoS Q
Q3
Scopus Q
Q3

OpenCitations Citation Count
N/A
Source
Acta Scientiarum. Technology
Volume
47
Issue
1
Start Page
e70881
End Page
PlumX Metrics
Citations
Scopus : 0
Captures
Mendeley Readers : 1
Page Views
5
checked on Feb 21, 2026
Google Scholar™


