Machine learning-based analysis of historical towers

H Dabiri, J Clementi, R Marini, GS Mugnozza… - Engineering …, 2024 - Elsevier
Determining frequency of buildings has a crucial impact on proper analysis and design of
structures. Conventional methods (ie, in situ and numerical analysis) are generally costly …

Strategic Placement of Accelerometers for Structural Health Monitoring of a Complex Unreinforced Stone Masonry Hindu Mandir

H Abu Shehab, T Kishida, F Bouchaala… - International Journal …, 2024 - Taylor & Francis
ABSTRACT The BAPS Hindu Mandir, recently constructed in Abu Dhabi, UAE, is a complex
unreinforced stone masonry structure built from thousands of sculpted sandstone and …

Fundamental frequency prediction of historic masonry towers based on artificial neural networks

QT Nguyen, KC Nguyen, R Livaoğlu - International Journal of …, 2024 - Taylor & Francis
Historic masonry towers, with their brittle materials, slenderness, and distinctive shapes, are
highly susceptible to lateral excitations. The urgency of preserving surviving ones in …

Artificial Neural Network-based robust technique for period prediction of Ottoman minarets in Türkiye

QT Nguyen, VT Vu, R Livaoğlu - Structures, 2024 - Elsevier
Minarets are crucial as symbolic and indispensable elements in mosques across religious
communities worldwide. Beyond architectural culture, hazardous conditions have shaped …

Method for Predicting Internal Defect Areas of Timber Components Based on an Adaptive Neuro-Fuzzy Inference System

Q Xie, C Hu, L Wang, J Zheng - International Journal of …, 2024 - Taylor & Francis
Internal defects in the timber components of ancient architecture can reduce their effective
cross-sectional areas, deteriorate their mechanical performance, and increase the risk of …

Damage detection of a typical historic masonry tower using control charts

F Testa, A Barontini, PB Lourenço - Journal of Physics …, 2024 - iopscience.iop.org
Control charts have become a common method for damage detection within vibration-based
structural health monitoring. Successful applications have been implemented including for …