Establishing efficacy of machine learning techniques for vulnerability information of tubular buildings

M Zain, S Keawsawasvong, C Thongchom… - Engineered …, 2023 - espublisher.com
During recent times, the emergence of artificial intelligence in structural engineering has
rendered researchers to work on reducing the overall computational effort required for …

Machine learning (ML) algorithms for seismic vulnerability assessment of school buildings in high-intensity seismic zones

M Zain, U Dackermann, L Prasittisopin - Structures, 2024 - Elsevier
Ensuring seismic resilience of school buildings is crucial for safeguarding their occupants
during earthquakes. This paper focuses on assessing the seismic vulnerability of school …

Seismic vulnerability assessment of school buildings in seismic zone 4 of Pakistan

M Zain, M Usman, SH Farooq… - Advances in Civil …, 2019 - Wiley Online Library
Thick population density and its escalation propensity in seismically active regions of
Pakistan has raised sincere concerns about the performance of building stock whose …

Modal-based fragility analysis of high-rise tubular structures: A methodology for vulnerability assessment

M Zain, C Ngamkhanong, THK Kang, M Usman… - Structures, 2024 - Elsevier
This study addresses the limitations of current vulnerability assessment processes for tall
buildings, which fail to incorporate the effects of higher modes and the resulting structural …

Effect of masonry infill on analytical fragility response of RC frame school buildings in high seismic zone

MW Khan, M Usman, SH Farooq, M Zain… - Journal of Structural …, 2021 - Taylor & Francis
This study aims at determining the effect of masonry as an infill on the vulnerability of
reinforced concrete frame buildings by using fragility assessment. Refined linear and …

Development and application of a novel low-cost capacitive sensor for accurate rebar position detection

Y Cheng, S Diao, A Hanif, P Parthasarathy… - Construction and Building …, 2020 - Elsevier
A novel effective while low-cost capacitive transducer (CT), which can precisely measure
rebar size and reinforcement position in both x-axis and y-axis under concrete cover using …

A framework with reduced computational burden for seismic fragility assessment of reinforced concrete buildings in high-intensity seismic zones

M Zain, M Usman, SH Farooq - Structures, 2021 - Elsevier
The current research is targeted to develop the analytical fragility relationships of reinforced
concrete (RC) buildings in high-intensity seismic zones by considering the effects of higher …

Study on corrosion monitoring and assessment method of reinforced concrete based on multi-sensor fusion

X Lin, P Wang, S Wang, J Shen - Anti-Corrosion Methods and …, 2025 - emerald.com
Purpose The purpose of this paper is to investigate the accurate monitoring and assessment
of steel bar corrosion in concrete based on deep learning multi-sensor information fusion …