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 …
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 …
Automatic detection of unreinforced masonry buildings from street view images using deep learning-based image segmentation
C Wang, SE Antos, LM Triveno - Automation in Construction, 2021 - Elsevier
Mitigation of seismic risk is a challenge for 70+ countries in the world. Screening the building
stock for potential structural defects is one way to locate structures that are vulnerable to …
stock for potential structural defects is one way to locate structures that are vulnerable to …
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** …
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 …
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 …
Rapid visual screening of soft-story buildings from street view images using deep learning classification
Rapid and accurate identification of potential structural deficiencies is a crucial task in
evaluating seismic vulnerability of large building inventories in a region. In the case of multi …
evaluating seismic vulnerability of large building inventories in a region. In the case of multi …
Adaln: a vision transformer for multidomain learning and predisaster building information extraction from images
Satellite and street view images are widely used in various disciplines as a source of
information for understanding the built environment. In natural hazard engineering, high …
information for understanding the built environment. In natural hazard engineering, high …
Assessment of seismic building vulnerability using rapid visual screening method through web-based application for Malaysia
Rapid visual screening is a quick and simple approach often used by researchers to
estimate the seismic vulnerability of buildings in an area. In this study, preliminary seismic …
estimate the seismic vulnerability of buildings in an area. In this study, preliminary seismic …