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Conventional RVS methods for seismic risk assessment for estimating the current situation of existing buildings: A state-of-the-art review
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 …
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
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 …
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
Seismic vulnerability assessment of existing buildings is of great concern around the world.
Different countries develop various approaches and methodologies to overcome the …
Different countries develop various approaches and methodologies to overcome the …
Performance of structures in İzmir after the Samos island earthquake
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 …
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
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 …
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
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 …
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 …
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
Although averting a seismic disturbance and its physical, social, and economic disruption is
practically impossible, using the advancements in computational science and numerical …
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
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 …
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** …
damage worldwide and indicate that many existing buildings, especially in develo** …