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All Journal Journal of Civil Engineering
How Teck Sia
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Civil Engineering, Building, Construction & Architecture Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation

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Journal : Journal of Civil Engineering

 1 
Reinforcing Bricks with Natural Fibres: A Review Jen Hua Ling; Yong Tat Lim; Wen Kam Leong; How Teck Sia
Journal of Civil Engineering Vol. 39 No. 2 (2024)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20861206.v39i2.7277

Abstract

Natural fibres are biomass waste that agriculture generates in abundance. Lacking environmental awareness, biomass waste is often improperly disposed of. This raises environmental concerns. Natural fibres might be used as building materials, such as bricks. This might be a viable alternative for sustainable development. In this study, articles on the use of natural fibres in bricks are reviewed. The purposes were to study their influence on the structural behaviour of fibre-reinforced bricks and to identify their prospects and challenges. Natural fibres were found to reduce the brick's density, drying shrinkage, thermal conductivity, and workability. They boosted the compressive, tensile, flexural, and tensile splitting strengths, as well as the water absorption capacity. Natural fibres can only be used in limited amounts in bricks, usually less than 5%. This prevents significant strength loss and excessive water absorption. This study points out the drawbacks of natural fibres, such as inconsistent properties, dimensional changes, combustibility, decay susceptibility, and microbiological growth susceptibility. These shortcomings should be addressed before commercialising fibre-reinforced bricks. To overcome the problems, natural fibres may need to be carefully screened and treated before being used in bricks.
CONCRETE-FILLED TUBULAR COLUMN MADE OF VARIOUS TYPES OF MATERIAL Jen Hua Ling; Yong Tat Lim; Wen Kam Leong; How Teck Sia
Journal of Civil Engineering Vol. 38 No. 1 (2023)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20861206.v38i1.7514

Abstract

Concrete-filled tubes (CFT) are gaining popularity due to their excellent performance under compression. Various materials have been used to produce CFTs. Their behavior varied significantly due to the properties of the materials. In this study, numerous articles related to CFT were reviewed. The effects of carbon steel, stainless steel, fibre-reinforced polymers (FRP), plastic materials, and various kinds of concrete on CFT were observed. The fundamental principles governing the behavior of CFT were then determined. The confinement effect of the tube was the key to the outstanding performance of CFT. CFT performed well when the tube had high compressive strength, elastic modulus, tensile strength, ultimate strain, and corrosion resistance. The concrete with high compressive strength and ultimate strain, as well as low elastic modulus and shrinkage, experienced greater strength enhancement under confinement. Nevertheless, confinement effectiveness was greatly affected by the slenderness ratio. Short CFT subjected primarily to axial loads was preferred.
LEARNING ABOUT CONCRETE-FILLED TUBE USING CHATGPT Jen Hua Ling; Yong Tat Lim; Wen Kam Leong; How Teck Sia
Journal of Civil Engineering Vol. 38 No. 1 (2023)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

ChatGPT is an artificial intelligence that can understand context and respond appropriately. It could be used for research on a topic. However, ChatGPT does not always provide accurate information. Its performance has not been tested in engineering fields. In this study, ChatGPT was consulted about concrete-filled tubes (CFT), which is a structural element primarily subjected to axial load. Fifty-eight questions were posted to ChatGPT. ChatGPT’s responses (370 sentences) were evaluated. ChatGPT generated plagiarism-free statements, with only a 12% Turnitin similarity index. 78.6% of ChatGPT’s sentences were long and complex. Thus, Hemingway Editor gave them a Grade 14 for poor readability. The information given by ChatGPT can be classified as correct, erroneous, contradictory, and unverified. ChatGPT could be used as a research tool, but with limitations. It can explain the basic concepts of CFT but also provide inaccurate and contradictory information. A researcher needs to be cautious while using ChatGPT in research. ChatGPT could be used to test some hypotheses or theories. However, the quality of the output is dependent on the user’s critical inputs and an in-depth conversation with ChatGPT.
Co-Authors Jen Hua Ling Wen Kam Leong Yong Tat Lim