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 …

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 …

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 …

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 …

Developing 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 developing a rapid, reliable, and effective technique for prioritizing the
buildings with high seismic vulnerability and assisting disaster mitigation in developing 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 developing …

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 …

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 …

Rapid visual screening for seismic evaluation of RC hospital buildings

D Perrone, MA Aiello, M Pecce, F Rossi - Structures, 2015 - Elsevier
Hospitals must be fully operational in the event of an emergency after an earthquake to
protect the lives of patients and health workers as well as to provide emergency care and …

Machine learning for the prediction of evaluation of existing reinforced concrete structures performance against earthquakes

C Cosgun - Structures, 2023 - Elsevier
Earthquakes are challenging disasters that pose a huge threat to the urbanized world. In
particular, the majority of the existing reinforced concrete (RC) building stock in developing …