期刊
FRONTIERS OF ARCHITECTURAL RESEARCH
卷 12, 期 6, 页码 1212-1233出版社
KEAI PUBLISHING LTD
DOI: 10.1016/j.foar.2023.08.002
关键词
Construction techniques; Architectural heritage; Structural theory of masonry; Numerical analysis; Bergama Bedesten
类别
This study presents a multi-leveled comparative evaluation approach for analyzing the structural characteristics of historic masonry monuments. Through a case study of the Bedesten in Turkey, the study explores the relationship between rare structural characteristics and structural safety. The study also highlights the importance of conscious structural design in minimizing vulnerability in monuments built during the same period.
The aim of the study is to present a multi-leveled comparative evaluation approach for structural characteristics of historic masonry monuments so that the consciousness in their authentic designs is comprehended, and the optimum structural performance is clarified. A case study approach is preferred by the examination of the Bedesten (15th-16th centuries) located in Bergama, I_zmir, Turkey. The structure is documented through tacheometric techniques. The construction techniques of structural elements are mapped. These documented qualities are compared with similar period and/or function structures in order to rank the frequency of construction details. The geometrical factor of safety state is defined theoretically for domes and arches. Finite element macro model of the Bedesten is generated in ANSYS software and overall structural analysis of the structure is made to evaluate the safety level of historic building by the limit states through self-weight analysis. The presented study shows that the rare structural characteristics can both contribute to structural safety and cause vulnerability. Therefore, total consciousness in structural design cannot be stated for the studied Bedesten, but the structural designs that are often preferred in the monuments built at the same period in the proximity to each other have low vulnerability, yielding to conscious preferences. (c) 2023 Higher Education Press Limited Company. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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