Automated surface crack detection in historical constructions with various materials using deep learning-based YOLO network
Cultural heritage (CH) constructions involve the use of diverse masonry materials. Under
natural and human influences, masonry materials can undergo various types of damages …
natural and human influences, masonry materials can undergo various types of damages …
Machine learning models for seismic analysis of buckling-restrained braced frames
The current research addresses the need for efficient analysis, design, and post-earthquake
damage assessment of buckling-restrained braced frames by develo** machine learning …
damage assessment of buckling-restrained braced frames by develo** machine learning …
A multi‐level approach to predict the seismic response of rigid rocking structures using artificial neural networks
This paper explores the use of Artificial Neural Networks (ANN) for the rocking problem. The
paper adopts rigid rocking blocks of different sizes and slenderness, which undergo rocking …
paper adopts rigid rocking blocks of different sizes and slenderness, which undergo rocking …
Effects of pulse period and frequency content of ground motion records on fragility curves of BRBFs
S Yaghmaei-Sabegh, M Ranjbari - 2025 - researchsquare.com
This study aims to estimate the fragility curves of buckling-restrained braced frames (BRBFs)
subjected to pulse-like excitations at collapse prevention (CP) and immediate occupancy …
subjected to pulse-like excitations at collapse prevention (CP) and immediate occupancy …
Investigating the interaction between rocking amplitude and ground motion characteristics via artificial neural networks
Unreinforced masonry structures are particularly vulnerable to out-of-plane seismic loading.
During an earthquake, masonry walls behave as rigid bodies undergoing rocking motion …
During an earthquake, masonry walls behave as rigid bodies undergoing rocking motion …
[PDF][PDF] THE USE OF ARTIFICIAL NEURAL NETWORKS TO PREDICT THE ROCKING AMPLITUDE OF BLOCK-BASED STRUCTURES
This paper adopts Artificial Neural Networks (ANN) to treat the rocking problem. Specifically,
it utilises a variety of rigid rocking blocks of different size and slenderness that undergo pure …
it utilises a variety of rigid rocking blocks of different size and slenderness that undergo pure …