Structural performance of recycled aggregate concrete-filled stainless steel tube columns by Tan, Chia Wei

“…The EN 1994-1-1, AS 5100 and AISC 360 design codes for normal concrete-filled carbon steel tube were assessed for their applicability to RACFSST columns. …”
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Analysis of the effect of coupling in Steel/Aluminium laminate under bending and tension load by Goh, Pei Yi

“…This project involves the study of the effects of coupling in Steel/Aluminium laminate subjected to tension and bending load. …”
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Static and cyclic behavior of steel beams retrofitted with fiber reinforced polymer laminates by Yu, Yi

“…This thesis presents a study on performance of FRP-steel joints and steel beams retrofitted with FRP under static and cyclic loading. …”
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Analysis and design of curved steel beam member in elevation using Eurocode 3 by Yandarmadi, Kelvin

“…Due to the technological advancement of the curved steel member, it expands the scope of structure that designer and architect can design. …”
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The effects of shear deformation in non-rectangular steel reinforced concrete structural walls by Luo, Da, Zhang, Zhongwen, Li, Bing

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Effect of coupling in steel/aluminium laminate subjected to tensile load and bending load by Pak, Jun Wei

“…This project involves the study of coupling effects in steel/aluminium metal laminate composite when subjected to either tensile or bending loads. …”
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Dual attention deep learning network for automatic steel surface defect segmentation by Pan, Yue, Zhang, Limao

“…A dual attention deep learning network is developed to classify three types of steel defects, locate their positions, and depict their shapes on the steel surface in an automatic and accurate manner. …”
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Behaviour of steel and polyproylene fibers in high strength concrete subjected to elevated temperature by Khoo, Li Ying.

“…The investigation will be on the behaviour of Steel and Polypropylene (PP) fibers in HSC under elevated temperatures. …”
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Metal additive manufacturing repair study on rail steel with Stellite 6 powder by Nellian, Alagu Subramaniam, Pang, John Hock Lye

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Machine-learning-assisted design of high strength steel I-section columns by Cheng, Jinpeng, Li, Xuelai, Jiang, Ke, Li, Shuai, Su, Andi, Zhao, Ou

“…High strength steel has been attracting attention in the building industry due to its superior mechanical properties. …”
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Effects of injection molding parameter (temperature) on 316l stainless steel parts by Chua, Shi Wei.

“…The first feedstock consisted of 92 weight % 316L stainless steel powder and 8 weight % binder system. The second feedstock consisted of 91 weight % 316L stainless steel powder and 9 weight % binder system. …”
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The behaviour of steel and composite structures under a middle-column-removal scenario by Yang, Bo

“…The objective of this research is to study the behaviour of steel and composite structures under a middle-column-removal scenario. …”
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Study of wear properties of EN1055 steel after laser surface treatment by Koh, Colin Chonghua

“…The objective for this study is to understand the impact of laser surface treatment on EN1055 steel wear properties. The optimum parameters and factors to improve wear resistance of EN1055 steel using laser surface treatment are also investigated This study was successful in understanding the wear properties of laser surface treatment on EN1055 steel and proven that laser surface treatment is a viable option to improve wear resistance of EN1055 steel At the end, suggestions for further research are also provided…”
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The influenced of steel fiber in hot mix asphalt mixture to enhance the tensile strength by Mohd Syukry, Safwan, Azizan, Muhammad Daniel Haiqal, Sobri, Muhammad Salleh, Bujang, Hazirah

“…To decrease the road deformation and to compute the pavement cracked at incorporating steel fiber using Marshall Stability Test. The result from this study has shown that the mixture incorporating steel fibers for stability is decrease between control sample with 2.7% steel fiber which is 21.357 kN and 13.193 kN. …”
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Multiscale topological indices for the quantitative prediction of SARS CoV-2 binding affinity change upon mutations by Bi, Jialin, Wee, JunJie, Liu, Xiang, Qu, Cunquan, Wang, Guanghui, Xia, Kelin

“…Biologically, protein-protein interactions between SARS-CoV-2 surface spike (S) protein and human ACE2 protein are the key mechanism behind the COVID-19 disease. …”
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Characterising the T cell responses to SARS-CoV-2 including variants of concern induced by natural infection and vaccines by Adele, S

“…<p>The COVID-19 pandemic, caused by SARS-CoV-2, has profoundly impacted global health, prompting extensive research into vaccine responses and the immune dynamics of SARS-CoV2 variants of concern (VOCs). …”

Detecting changes in population trends in infection surveillance using community SARS-CoV-2 prevalence as an exemplar by Pritchard, E, Vihta, K-D, Eyre, DW, Hopkins, S, Peto, TEA, Matthews, PC, Stoesser, N, Studley, R, Rourke, E, Diamond, I, Pouwels, KB, Walker, AS, COVID-19 Infection Survey Team

“…Substantial changes in SARS-CoV-2 prevalence with emergence of variants provides opportunity to investigate different methods to do this. …”

A systems biology approach to define SARS-CoV-2 correlates of protection in non-human primates by Brady, C

“…SARS-CoV-2 is expected to become a seasonal human coronavirus, with annual vaccination advised for vulnerable populations, similar to influenza. …”

Chronic neuropsychiatric sequelae of SARS-CoV-2: protocol and methods from the Alzheimer's Association Global Consortium by de Erausquin, GA, Snyder, H, Brugha, TS, Newton, C

“…No available evidence supports the notion that cognitive impairment after SARS-CoV-2 infection is a form of dementia (ADRD or otherwise). …”

Flood inundation mapping in the Kelantan River Basin, Malaysia, using Sentinel-1 SAR and Google Earth Engine by Yi, Lin Tew, Mou, Leong Tan, Liew, Juneng, Sazali Osman, Mohamad Hafiz Hassan, Narimah Samat, Chun, Kiat Chang, Li, Longhui

“…In this study, GEE was utilized to generate flood inundation maps for the Kelantan River Basin (KRB) using Sentinel-1 SAR data. Site inspections and Sentinel-2 Multispectral Instrument (MSI) satellite images of the actual flood regions were then used to validate the flood inundation maps. …”
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