Outputs (64)

Eco-friendly 3D Printing Mortar with Low Cement Content: Investigation on Printability and Mechanical Properties (2024)
Journal Article
Sukontasukkul, P., Komkham, S., Jamnam, S., Zhang, H., Fujikake, K., Puttiwongrak, A., & Hansapinyo, C. (2024). Eco-friendly 3D Printing Mortar with Low Cement Content: Investigation on Printability and Mechanical Properties. Civil Engineering Journal, 10(3), https://doi.org/10.28991/CEJ-2024-010-03-010

The conventional approach to achieving optimal printability and buildability in 3D printing mortar relies heavily on cement, which is both costly and environmentally detrimental due to substantial carbon emissions from its production. This study aims... Read More about Eco-friendly 3D Printing Mortar with Low Cement Content: Investigation on Printability and Mechanical Properties.

Use of buffer treatment to utilize local non-alkali tolerant bacteria in microbial induced calcium carbonate sedimentation in concrete crack repair (2024)
Journal Article
Pianfuengfoo, S., Kongtunjanphuk, S., Zhang, H., & Sukontasukkul, P. (2024). Use of buffer treatment to utilize local non-alkali tolerant bacteria in microbial induced calcium carbonate sedimentation in concrete crack repair. Heliyon, 10(4), Article e26776. https://doi.org/10.1016/j.heliyon.2024.e26776

Concrete often suffers cracks due to its low tensile strength. The repair process can vary ranging from surface coating, grouting, and strengthening. Microbial induced calcium carbonate sedimentation process (MICP) is a process of utilizing non-patho... Read More about Use of buffer treatment to utilize local non-alkali tolerant bacteria in microbial induced calcium carbonate sedimentation in concrete crack repair.

Characteristic and Allowable Compressive Strengths of Dendrocalamus Sericeus Bamboo Culms with/without Node Using Artificial Neural Networks (2023)
Journal Article
Buachart, C., Hansapinyo, C., Sukontasukkul, P., Zhang, H., Sae-Long, W., Chetchotisak, P., & O'Brien, T. E. (2024). Characteristic and Allowable Compressive Strengths of Dendrocalamus Sericeus Bamboo Culms with/without Node Using Artificial Neural Networks. Case Studies in Construction Materials, 20, e02794. https://doi.org/10.1016/j.cscm.2023.e02794

The strength of construction material is a crucial consideration in the process of structural design and construction. Conventional materials such as concrete or steel have been widely utilized due to their predictable material performance. However,... Read More about Characteristic and Allowable Compressive Strengths of Dendrocalamus Sericeus Bamboo Culms with/without Node Using Artificial Neural Networks.

Force monitoring of Galfan cables in a long-span cable-truss string-support system based on the magnetic flux method (2023)
Journal Article
Zhang, Y., Tian, X., Xia, J., & Zhang, H. (2023). Force monitoring of Galfan cables in a long-span cable-truss string-support system based on the magnetic flux method. Structural Monitoring and Maintenance, 10(3), 261-281. https://doi.org/10.12989/smm.2023.10.3.261

Magnetic flux sensors are commonly used in monitoring the cable force, but the application of the sensors in large diameter non-closed Galfan cables, as those adopted in Yueqing Gymnasium which is located in Yueqing City, Zhejiang Province, China and... Read More about Force monitoring of Galfan cables in a long-span cable-truss string-support system based on the magnetic flux method.

A new concept of bio-based prestress technology with experimental Proof-of-Concept on Bamboo-Timber composite beams (2023)
Journal Article
Zhang, H., Shen, M., Deng, Y., Andras, P., Sukontasukkul, P., Yuen, T. Y. P., Wong, S. H., Limkatanyu, S., Singleton, I., & Hansapinyo, C. (2023). A new concept of bio-based prestress technology with experimental Proof-of-Concept on Bamboo-Timber composite beams. Construction and Building Materials, 402, Article 132991. https://doi.org/10.1016/j.conbuildmat.2023.132991

This paper presents a pioneering experimental proof-of-concept study to validate a novel concept of prestress technology that used only pure bio-based composite materials while achieved consistent prestressed stress distribution within the structure... Read More about A new concept of bio-based prestress technology with experimental Proof-of-Concept on Bamboo-Timber composite beams.

Experimental study on flexural behaviours of fresh or aged hollow reinforced concrete girders strengthened by prestressed CFRP plates (2023)
Journal Article
Deng, Y., Guo, Z., Zhang, H., Limkatanyu, S., Sukontasukkul, P., Yuen, T. Y. P., Wong, S. H. F., Hansapinyo, C., Adom-Asamoah, M., Shen, M., Huang, L., Kuang, J. S., & Zou, Y. (2023). Experimental study on flexural behaviours of fresh or aged hollow reinforced concrete girders strengthened by prestressed CFRP plates. Engineering Structures, 294, Article 116776. https://doi.org/10.1016/j.engstruct.2023.116776

The paper presents a well-rounded experimental study on the flexural performance of Reinforced Concrete (RC) box girders strengthened with prestressed carbon fibre reinforced polymer (CFRP) plates. The motivation behind the study was twofold: the ris... Read More about Experimental study on flexural behaviours of fresh or aged hollow reinforced concrete girders strengthened by prestressed CFRP plates.

Beyond time: Enhancing corrosion resistance of geopolymer concrete and BFRP bars in seawater (2023)
Journal Article
Chen, Z., Yu, J., Nong, Y., Yang, Y., Zhang, H., & Tang, Y. (2023). Beyond time: Enhancing corrosion resistance of geopolymer concrete and BFRP bars in seawater. Composite Structures, 322, Article 117439. https://doi.org/10.1016/j.compstruct.2023.117439

To improve the durability of Basalt fiber reinforced polymer (BFRP) bars reinforced geopolymer concrete (GPC), it is important to study the time-dependent variation of the corrosion resistance ability of GPC and BFRP in a seawater environment. This p... Read More about Beyond time: Enhancing corrosion resistance of geopolymer concrete and BFRP bars in seawater.

Precise determination of initial printable time for cement mortar 3D printing using a derivative method (2023)
Journal Article
Sukontasukkul, P., Maho, B., Komkham, S., Pianfuengfoo, S., Zhang, H. (., Yoo, D., Tangchirapat, W., Sae-Long, W., Limkatanyu, S., & Chindaprasirt, P. (2023). Precise determination of initial printable time for cement mortar 3D printing using a derivative method. Rapid Prototyping Journal, 29(9), 1888-1903. https://doi.org/10.1108/rpj-03-2023-0087

Purpose This study aims to propose a technique that establishes a mathematical relationship between width and time, and utilizes a derivative method to determine the initial printable time (tint) for mortar suitable for 3D printing. The study conduc... Read More about Precise determination of initial printable time for cement mortar 3D printing using a derivative method.

Self-compacting steel fibers reinforced geopolymer: Study on mechanical properties and durability against acid and chloride attacks (2023)
Journal Article
Sukontasukkul, P., Intarabut, D., Phoo-ngernkham, T., Suksiripattanapong, C., Zhang, H., & Chindaprasirt, P. (2023). Self-compacting steel fibers reinforced geopolymer: Study on mechanical properties and durability against acid and chloride attacks. Case Studies in Construction Materials, 19, Article e02298. https://doi.org/10.1016/j.cscm.2023.e02298

This study aimed to investigate the effects of steel fibers on the properties of self-compacting geopolymer (SCG), including flowability and fillability, compressive and flexural strength, and durability against harmful chemical substances such as ac... Read More about Self-compacting steel fibers reinforced geopolymer: Study on mechanical properties and durability against acid and chloride attacks.

A machine learning-based structural load estimation model for shear-critical RC beams and slabs using multifractal analysis (2023)
Journal Article
Osei, J. B., Adom-Asamoah, M., Owusu Twumasi, J., Andras, P., & Zhang, H. (2023). A machine learning-based structural load estimation model for shear-critical RC beams and slabs using multifractal analysis. Construction and Building Materials, 394, Article 132250. https://doi.org/10.1016/j.conbuildmat.2023.132250

This paper presents a machine learning model for load-level estimation for shear-critical reinforced concrete (RC) beams and slabs using multifractal features of their characteristic crack patterns to automate and provide well-informed decisions for... Read More about A machine learning-based structural load estimation model for shear-critical RC beams and slabs using multifractal analysis.