Zainah Ibrahim

Dr. Zainah Ibrahim


Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2016 in Construction and Building Materials
Verified
Journal Article
Open access
SRSardar Kashif Ur Rehman
Sardar Kashif Ur Rehman
ZIZainah Ibrahim
Zainah Ibrahim
Shazim MemonShazim Memon
Shazim Memon
MJMohammed Jameel
Mohammed Jameel
NDT methods applicable to concrete bridges are reviewed. The methodology, advantages and disadvantages along with up to date research on NDT methods are presented. Different damage levels, having less dependence on inspector judgment, are suggested. Moreover, a flow chart based on damage level along with NDT methods and potential remedial measures are proposed for periodic health monitoring of structures

1 March 2019 in Archives of Computational Methods in Engineering
Verified
Journal Article
Closed access
PDF file
AJAhad Javanmardi
Ahad Javanmardi
ZIZainah Ibrahim
Zainah Ibrahim
KGKhaled Ghaedi
Khaled Ghaedi
HGHamed Benisi Ghadim
Hamed Benisi Ghadim
MHMuhammad Usman Hanif
Muhammad Usman Hanif

30 June 2016 in Steel and Composite Structures
Verified
Journal Article
Closed access
MSM. Safa
M. Safa
MSM. Shariati
M. Shariati
ZIZainah Ibrahim
Zainah Ibrahim
ATA. Toghroli
A. Toghroli
SBShahrizan Bin Baharom
Shahrizan Bin Baharom
DPDalibor Petkovic
Dalibor Petkovic
Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam's shear strength ANFIS;forecasting;steel-concrete composite beam;shear capacity; Structural design of a composite beam is influenced by two main factors, strength and ductility. For the design to be effective for a composite beam, say an RC slab and a steel I beam, the shear strength of the composite beam and ductility have to carefully estimate with the help of displacements between the two members. In this investigation the shear strengths of steel-concrete composite beams was analyzed based on the respective variable parameters. The methodology used by ANFIS (Adaptive Neuro Fuzzy Inference System) has been adopted for this purpose. The detection of the predominant factors affecting the shear strength steel-concrete composite beam was achieved by use of ANFIS process for variable selection. The results show that concrete compression strength has the highest influence on the shear strength capacity of composite beam.

25 November 2014 in Steel and Composite Structures
Verified
Journal Article
Closed access
ATAli Toghroli
Ali Toghroli
MMMohammad Mohammadhassani
Mohammad Mohammadhassani
MSMeldi Suhatril
Meldi Suhatril
MSMahdi Shariati
Mahdi Shariati
ZIZainah Ibrahim
Zainah Ibrahim

15 August 2017 in Journal of Vibroengineering
Verified
Journal Article
Open access
PDF file
KGKhaled Ghaedi
Khaled Ghaedi
ZIZainah Ibrahim
Zainah Ibrahim
HAHojjat Adeli
Hojjat Adeli
AJAhad Javanmardi
Ahad Javanmardi
This paper presents a state-of-the-art review of recent articles published on active, passive, semi-active and hybrid vibration control systems for structures under dynamic loadings primarily since 2013. Active control systems include active mass dampers, active tuned mass dampers, distributed mass dampers, and active tendon control. Passive systems include tuned mass dampers (TMD), particle TMD, tuned liquid particle damper, tuned liquid column damper (TLCD), eddy-current TMD, tuned mass generator, tuned-inerter dampers, magnetic negative stiffness device, resetting passive stiffness damper, re-entering shape memory alloy damper, viscous wall dampers, viscoelastic dampers, and friction dampers. Semi-active systems include tuned liquid damper with floating roof, resettable variable stiffness TMD, variable friction dampers, semi-active TMD, magnetorheological dampers, leverage-type stiffness controllable mass damper, semi-active friction tendon. Hybrid systems include shape memory alloys-liquid column damper, shape memory alloy-based damper, and TMD-high damping rubber.

9 April 2016 in Journal of Intelligent Manufacturing
Verified
Journal Article
Closed access
PDF file
ATAli Toghroli
Ali Toghroli
MSMeldi Suhatril
Meldi Suhatril
ZIZainah Ibrahim
Zainah Ibrahim
MSMaryam Safa
Maryam Safa
MSMahdi Shariati
Mahdi Shariati
SSShahaboddin Shamshirband
Shahaboddin Shamshirband