Conventional RVS methods for seismic risk assessment for estimating the current situation of existing buildings: A state-of-the-art review

N Bektaş, O Kegyes-Brassai - Sustainability, 2022 - mdpi.com
Developments in the field of earthquake engineering over the past few decades have
contributed to the development of new methods for evaluating the risk levels in buildings …

Effect on RC buildings of 6 February 2023 Turkey earthquake doublets and new doctrines for seismic design

M Ozturk, MH Arslan, HH Korkmaz - Engineering Failure Analysis, 2023 - Elsevier
Two major catastrophic earthquakes, which occurred 9 h apart on the Eastern Anatolian
Fault Zone and one of its branches on February 6, 2023 in Turkey, directly affected 11 …

A review on application of soft computing techniques for the rapid visual safety evaluation and damage classification of existing buildings

E Harirchian, SEA Hosseini, K Jadhav, V Kumari… - Journal of Building …, 2021 - Elsevier
Seismic vulnerability assessment of existing buildings is of great concern around the world.
Different countries develop various approaches and methodologies to overcome the …

Performance of structures in İzmir after the Samos island earthquake

A Yakut, H Sucuoğlu, B Binici, E Canbay… - Bulletin of Earthquake …, 2021 - Springer
Abstract The October 30, 2020 Earthquake caused unexpectedly significant damage in İzmir
considering its distance to the city. This paper evaluates the recorded ground motions …

A prioritization RVS methodology for the seismic risk assessment of RC school buildings

S Ruggieri, D Perrone, M Leone, G Uva… - International Journal of …, 2020 - Elsevier
The seismic vulnerability assessment of critical facilities, such as hospital and school
buildings, is of paramount importance to avoid the collapse in ordinary conditions and to …

[HTML][HTML] A hybrid ANN-GA model for an automated rapid vulnerability assessment of existing RC buildings

MA Bülbül, E Harirchian, MF Işık… - Applied Sciences, 2022 - mdpi.com
Determining the risk priorities for the building stock in highly seismic-prone regions and
making the final decisions about the buildings is one of the essential precautionary …

[HTML][HTML] A synthesized study based on machine learning approaches for rapid classifying earthquake damage grades to RC buildings

E Harirchian, V Kumari, K Jadhav, S Rasulzade… - Applied Sciences, 2021 - mdpi.com
A vast number of existing buildings were constructed before the development and
enforcement of seismic design codes, which run into the risk of being severely damaged …

A machine learning framework for assessing seismic hazard safety of reinforced concrete buildings

E Harirchian, V Kumari, K Jadhav, R Raj Das… - Applied Sciences, 2020 - mdpi.com
Although averting a seismic disturbance and its physical, social, and economic disruption is
practically impossible, using the advancements in computational science and numerical …

Develo** a hierarchical type-2 fuzzy logic model to improve rapid evaluation of earthquake hazard safety of existing buildings

E Harirchian, T Lahmer - Structures, 2020 - Elsevier
The demand for develo** a rapid, reliable, and effective technique for prioritizing the
buildings with high seismic vulnerability and assisting disaster mitigation in develo** post …

ML-EHSAPP: A prototype for machine learning-based earthquake hazard safety assessment of structures by using a smartphone app

E Harirchian, K Jadhav, V Kumari… - European Journal of …, 2022 - Taylor & Francis
The recent devastating earthquakes have caused severe physical, social, and financial
damage worldwide and indicate that many existing buildings, especially in develo** …