Academic Journal

Structural assessment and finite element modeling of the Volaidai Abdulazizkhan Mosque in the Bukhara region using LIRA-SAPR.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Structural assessment and finite element modeling of the Volaidai Abdulazizkhan Mosque in the Bukhara region using LIRA-SAPR.
Συγγραφείς: Khodjaeva, Zulfiya, Usmankhodjaeva, Lola, Shukurova, Karomat, Utegenova, Makhliya, Saydullaeva, Dildora
Πηγή: Vibroengineering Procedia; Jun2026, Vol. 62, p92-99, 8p
Θεματικοί όροι: Finite element method, Structural analysis (Engineering), Cultural property, Mosques, Seismic response, Structural stability, Monuments
Γεωγραφικοί όροι: Bukhoro (Uzbekistan)
Περίληψη: Historical monuments and cultural heritage objects play a fundamental role in ensuring the preservation of national identity and cultural continuity. The assessment of their structural condition using advanced computational technologies is an urgent scientific and practical task. This study investigates a XVI-century architectural monument - the Volaidai Abdulazizkhan Mosque located in the Bukhara region. A three-dimensional (3D) finite element model was developed using LIRA-SAPR software, and the structural behavior under static and dynamic loading conditions was analyzed. The stress-strain state, deformation characteristics, and seismic response of the structure were evaluated. The results reveal the presence of localized stress concentrations and deformation zones, particularly in the foundation and dome-wall connection areas. Despite these local effects, the overall structural stability remains within permissible limits. The obtained results provide a reliable basis for assessing structural safety and developing strengthening measures for historical monuments. [ABSTRACT FROM AUTHOR]
Copyright of Vibroengineering Procedia is the property of Extrica and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
Περιγραφή
ISSN:23450533
DOI:10.21595/vp.2026.26426