Digital Commons Network^™

Chronic Disease Prevalence And Modifiable Risk Factors Among Undergraduate Students At Ha’Il University: A Population-Level Cross-Sectional Study, Collins Otieno Asweto, Sehar Un Nisa Hassan, Mohamed Ali Alzain, Bandar Alsaif, Mohammed Elshiekh Saeed, Ahmed Kassar, Kamal Elbssir Mohammed Ali, Mouna Ghorbel, Rafat Zrieq, Monzer Hamed, Wei Wang

Research outputs 2022 to 2026

Background: Rising rates of chronic conditions among Saudi youth underscore the need for early prevention. Using a public‑health lens focused on demographic, academic, and lifestyle influences, this study investigates the risk and protective factors for chronic disease among students at the University of Ha’il to guide youth‑centered health policies and long‑term wellbeing initiatives. Methods: A cross-sectional survey was conducted among 10,775 undergraduate students studying in bachelor’s degree programs at Ha’il University, Saudi Arabia. Descriptive analyses were used to assess demographic characteristics, academic status, health status, and health-related lifestyles. Multiple logistic regression models were applied to determine which demographic, academic, and …

Extending Social Penetration Theory To Online Brand Communities: The Impact Of Perceived Identifiability On Relational Development And Perceived Enjoyment, Stephanie Meek, Claire Lambert, Laureane Du Plessis

Research outputs 2022 to 2026

Online brand communities (OBCs) rely on members forming relationships, yet many platforms normalise anonymity. Drawing on Social Penetration Theory (SPT), this study examines whether feeling recognisable to other members (perceived identifiability) shapes relational outcomes and enjoyment in consumer-initiated OBCs. Survey data from 307 members were analysed using structural equation modelling and multi-group analysis. Perceived identifiability significantly increased members’ network ties and sense of belonging but did not directly enhance perceived enjoyment. Instead, belonging mediated the link from identifiability to enjoyment, and network ties strengthened belonging, yielding a serial indirect pathway from identifiability to enjoyment. Comparing lurkers and posters showed that …

Mobility Of Hydrophilic And Hydrophobic Nanoparticles In Carbonate Reservoirs: Application To Subsurface Projects, Zain Ul Abedin Arain, Sarmad Al-Anssari, Muhammad Ali, Faisal Ur Rahman Awan, Alireza Keshavarz, Jitendra Sangwai, Mohammad Sarmadivaleh, Stefan Iglauer

Research outputs 2022 to 2026

Nanoparticles (NPs) have been suggested for subsurface projects, including enhanced oil recovery (EOR), carbon capture and storage (CCS), and hydrogen storage, due to their small size, high surface energy, controlled surface properties, and significant effects on the underground formation properties. Silica is an excellent NP that efficiently modifies the surface properties of subsurface formations for incremental oil recovery and to derisk carbon and hydrogen leaks. However, the retention of injected NPs in a narrow area near the injection inlet can limit a project’s feasibility. In the present study, hydrophobic (hybrid) NPs were produced via silanization of silica NPs, and the …

Strengthening Ocean Literacy: Marine Science Education And Training To Ensure Australia's Blue Future, Prue Francis, Rachel Kelly, Louise Swanson, Tanveer M. Adyel, Benjamin Arthur, Kirsten Benkendorff, Melanie J. Bishop, Helen Bostock, Marnie L. Campbell, Emma Church, Corrine Condie, Vaibhavi Dwivedi, Michelle Dyer, Matthew England, Liam Fullbrook, Charlie Huveneers, Malcolm Johnson, Brianna Le Busque, Rebecca R. Mcintosh, Amelie Meyer, Benjamin Mos, Jana Mrazova, Allyson O'Brien, Gretta T. Pecl, Amandine Schaeffer, Rebecca J. Shellock, Grant A. Smith, Scott Smithers, Ana Vila-Concejo, Graham Wood

Research outputs 2022 to 2026

This white paper sets out a national vision for advancing ocean literacy in Australia and outlines the role of marine science in fostering an informed, engaged society capable of addressing the challenges and opportunities of our changing oceans. As environmental pressures intensify, and marine resource demands increase, Australians’ capacity to engage with ocean issues, understand risks and opportunities, and participate in marine decision-making has never been more urgent. Marine science will play a central role in building ocean literacy by delivering credible, actionable science, and strengthening education and training systems that enhance understanding of, and connection to, the ocean. Our …

A Knowledge-Driven, Ai-Assisted Cyber Defence Framework For Iomt Remote Patient Monitoring, Kulsoom S. Bughio, David M. Cook, Abdul M. Unar

Research outputs 2022 to 2026

The rapid adoption of Internet Medical Things (IoMT) technologies in remote patient monitoring has reshaped healthcare delivery by enabling continuous, real-time clinical observation outside traditional care settings. However, this shift has also expanded the cyber-attack surface across heterogeneous, resource-constrained medical devices, wireless networks, cloud services, and third-party platforms. In cyber warfare, healthcare has become an incorporated target of geopolitics, with hospitals, remote monitoring systems, and emergency health systems being used to broaden the attack surface for adversaries to exploit. Existing security approaches for IoMT environments remain largely manual, fragmented, and reactive, limiting their effectiveness in dynamically assessing vulnerabilities and supporting …

Renewable And Affordable Energy For Apartments. Inquiry Into Renewable And Affordable Energy For Apartments, Nishadi Ruwandima Weerasinghe Mudiyanselage, Asma Aziz

Research outputs 2022 to 2026

Recent literature identifies a persistent disparity between detached housing and apartments in accessing renewable and affordable electricity. While rooftop solar PV deployment in Australia  has expanded rapidly since 2017, access to these technologies in multi-unit dwellings (MUDs) remains limited, resulting in higher electricity costs for apartment residents compared with standalone houses. This inequity is increasingly significant given rising electricity prices and the growing share of Australians living in apartments.

Analysis Of Geosynthetic-Reinforced Tailings Dam Slopes Subjected To Surface Loads, Francis Otieno, Sanjay Kumar Shukla

Research outputs 2022 to 2026

This study presents an extensive numerical investigation of the stability of a geosynthetic-reinforced tailings dam embankment slope subjected to surface loads from retained pyrite tailings slurry upstream of the dam. The analysis was performed on an embankment with an inclination of 1V:2.5H on the upstream slope and 1V:2H on the downstream slope. The dam embankment rests directly on previously deposited pyrite tailings that have dried over time and are sufficiently consolidated to support the embankment. The variable parameters considered in this study include the geosynthetic reinforcement length across the failure zone, effective cohesion (c′), effective angle of internal friction (ϕ′), …

Playworld Translanguaging: A Place-Based Approach For Translanguaging Play Pedagogy In Early Childhood, Christine Robinson, Carly Steele, Toni Dobinson, Grace Oakley, Samina Manado, Katie Grace, Graeme Gower

Research outputs 2022 to 2026

Conceptualised from a vision to honour children’s languages, agency and cultural ways of knowing, this research presents findings from a place-based translanguaging play pedagogy for early childhood called Playworld Translanguaging. In the remote Kimberley of Western Australia, researchers collaborated with educators in a Kindergarten/Primary/Yr 1 class of mostly Aboriginal children who have Bardi Jawi as their ancestral language, co-designing ways to revitalise this language through play pedagogy in ways intimately connected to place. Our Playworld Translanguaging approach reimagined Conceptual PlayWorlds (Fleer, 2018) with the intention of integrating pedagogical translanguaging. Following Indigenist research principles, critical participatory action research (CPAR) was the …

Serum Igg N-Glycosylation Profiles Distinguish Primary Sjögren’S Disease, Rheumatoid Arthritis, And Systemic Lupus Erythematosus And Are Associated With Disease Activity In Sjögren’S Disease, Zhixian Chen, Xiaojia Xu, Manshu Song, Fengcai Shen, Haifeng Hou, Wei Wang, Ling Lin

Research outputs 2022 to 2026

Background: IgG N-glycosylation regulates immune effector functions and inflammation, but disease-specific patterns in primary Sjögren’s disease (SjD), rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE) are insufficiently defined, particularly in SjD.

Objectives: To identify serum IgG N-glycan biomarkers that differentiate SjD, RA, and SLE and reflect disease activity in SjD.

Design: A clinical case-control study.

Methods: Serum IgG N-glycans from 88 SjD patients, 102 RA patients, 86 SLE patients and 91 healthy controls were profiled using ultra-performance liquid chromatography. Discriminative glycans were selected through machine learning-based feature selection and evaluated for their diagnostic performance using cross-validated logistic regression and receiver …

Targeting Of The Oncogenic Fusion Ewsr1-Fli1 In Ewing Sarcoma By Crispr/Dcas9 Silencers, Shahama Taifour, Chee Wai Wong, Christopher Wallis, Edina Wang, Ash W.J. Tie, Eleanor Woodward, Charlene Waryah, Mahnaz Hosseinpour, Dilys Lam, Ryan Lister, Larissa Dymond, Andrew Woo, Peter J. Houghton, K. Swaminathan Iyer, Marck Norret, Cameron W. Evans, Louise Winteringham, Silvana Gaudieri, Pilar Blancafort

Research outputs 2022 to 2026

Despite the revolutionary impact of genome engineering tools in medicine, the safe and effective intracellular delivery of CRISPR remains a major obstacle to clinical applications. Here, we utilize precision molecular targeting and delivery strategies based on CRISPR-nuclease-dead Cas9 (dCas9) systems adapted for epigenetic repression (dCas9-Krüppel-associated box [KRAB]) to silence oncogenic drivers with high selectivity. As proof of principle, we target the EWSR1-FLI1 translocation, which encodes a chimeric and hard-to-drug oncogenic transcription factor driving approximately 85% of the cases of Ewing sarcoma (EWS)—an aggressive childhood malignancy. We describe the development of a programmable, non-viral polymeric system for the delivery of dCas9-KRAB …

Beta-Band Modulation Reveals The Cortical Dynamics Of Auditory Statistical Learning In Children, Jarrad A.G Lum, Christine N. Moreau, Li Ann Leow, Welber Marinovic, Sarah J. Lum, Marc F. Joanisse, Laura J. Batterink

Research outputs 2022 to 2026

Children's ability to extract statistical regularities from speech is considered fundamental to lexical, syntactic, and grammatical development. However, the neural oscillatory mechanisms supporting this process in childhood remains poorly understood. While beta-band oscillations have been linked to statistical learning in visual and motor domains, it is unclear whether similar dynamics support auditory statistical learning in children. In this study, we recorded electroencephalography (EEG) from children aged 8–12 years as they listened to a continuous stream of trisyllabic nonwords (e.g., dapiku), where syllable order within each nonword was fixed (high predictability), but transitions between nonwords were variable (low predictability). Beta power …

Between Guidelines And Guilt: Parenting Through The Chaos Of Screen-Time Discourse, Stephanie C. Milford

Research outputs 2022 to 2026

Digital parenting today is shaped by shifting guidelines, moralised discourse, and often unstable institutional advice, leaving families navigating uncertainty without meaningful support. Drawing on governmentality theory and media studies, this piece examines how screentime discourse can position parents as primarily responsible for risks that are in part, produced by systems outside the home. Using the Australian policy reversal on YouTube as a case study, it highlights how inconsistent guidance can erode parental confidence and at times sustain cycles of shame and surveillance. Rather than consistently addressing structural factors such as platform design and algorithmic amplification, media and policy narratives displace …

Drone Endurance In Hydrogen Fuel Cell Hybrid Technologies: Power Architectures And Design Strategies, Yaw Chong Tak, Tarek Abedin, Johnny Koh Siaw Paw, Jagadeesh Pasupuleti, Tan Jian Ding, Tiong Sieh Kiong, K. Kadirgama, F. Benedict, Mohammad Nur-E-Alam

Research outputs 2022 to 2026

This study delivers an exhaustive exploration of novel and hybrid power systems for Unmanned Aerial Vehicles (UAVs) aimed at improving endurance, efficiency, and mission performance. In the wake of increasing requirements for long-endurance and high-performance UAVs, traditional battery systems are limited by their energy density and lifetime. To overcome this, the research compares four primary power sources: hydrogen fuel cells, lithium-based batteries, photovoltaic cells, and supercapacitors, with a focus on their hybrid architecture integration. The originality of this research is in the relative comparison of these power sources in multi-mode UAV operations, with an emphasis on their performance, energy management …

Towards Carbon Geosequestration: Comparing The Wettability Performance Of Western Australian Altered Basaltic Rock/Co2/Water Systems, Seyi Philemon Akanji, Rossen Sedev, Lionel Esteban, Ausama Giwelli, Trevor Beardsmore, Heather Howard, Joel Sarout, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

Geosequestration of carbon dioxide in basaltic rock formations is considered to have the potential to safely and permanently store significant quantities of this greenhouse gas and thereby mitigate its potential global warming effect. The success of this storage method is primarily dependent on the wettability behaviour of the rock-water-CO2 system, which significantly affects fluid distribution, fluid transport, storage capacity and containment security. This study investigates the wettability performance of several Western Australian altered basaltic rocks, of similar geochemistry, porosity and inter-connection. The wettability behaviour of the basaltic materials is assessed using water containing ions that have been leached from the …

Antecedents Of Employee Service Innovation Behaviour Through The Resource-Based View, Ataul Karim Patwary, Md Sazzad Hossain, S. Mostafa Rasoolimanesh, T. Ramayah

Research outputs 2022 to 2026

This study applies the Resource-Based View (RBV) to explore how strategic, tactical, and internal green marketing orientations foster employee service innovation behaviour in the hospitality sector. It examines green trust and responsibility feelings as key internal resources and investigates their mediating roles. Using PLS-SEM analysis on 778 responses from Malaysian hotel employees, the findings indicate that internal green marketing orientation significantly enhances green trust and responsibility feelings, which, in turn, positively influence employee service innovation behaviour. By integrating psychological constructs into RBV, this research offers new insights into the role of green marketing in driving organizational sustainability. However, the study …

Covert Performance Of Star-Ris Aided Thz Communication System With Rsma And Phase Errors, Xiangbin Yu, Yue Zhou, Shihao Yan, Yun Rui, Xiaoyu Dang, Chau Yuen, Mohsen Guizani

Research outputs 2022 to 2026

In this paper, the covert performance of the simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided Terahertz (THz) communication systems with rate-splitting multiple access (RSMA) over the generalized α-μ fading channel is studied, where the discrete phase error and noise power uncertainty are considered. By means of the Gaussian approximation and Gamma distribution, the closed-form outage probability (OP) of the legitimate users is firstly derived. Then, the covert performance of the system is analyzed, and average detection error probability (ADEP) is deduced for the warden, and resultant closed-form ADEP is obtained. By minimizing the ADEP, the optimal detection threshold …

Design Of Artificial Interference Signal Waveforms For Covert Communication Aided By Multiple Friendly Nodes, Xuyang Zhao, Wei Guo, Yongchao Wang, Shihao Yan

Research outputs 2022 to 2026

In this work, we consider a covert communication scenario with multiple friendly interference nodes. The goal is to hide a legitimate communication link from a transmitter to a receiver under a warden’s surveillance. Firstly, we propose a novel strategy for generating artificial noise (AN) signals and formulate a corresponding design problem, aiming to minimize the adverse effects of AN on the legitimate receiver while enhancing communication covertness. Specifically, we optimize the basis matrix for AN signal space using statistical information of the involved channel coefficients, when precise channel state information are unavailable. Secondly, we analyze the geometric structure of the …

Integrating Environmental Awareness In Underwater Acoustic Networks: A Comprehensive Review, Sadaf Vahabli, Iftekhar Ahmad, Quoc Viet Phung, Daryoush Habibi, Walid K. Hasan, Ruba Zaheer

Research outputs 2022 to 2026

Underwater Acoustic Networks (UANs) are critical for enabling long-range underwater communication, supporting a wide range of applications, such as environmental monitoring, resource exploration, disaster prevention and marine security. Unfortunately, UANs operate within a limited acoustic spectrum, where these spectrums often overlap with those used by marine animals for communication, navigation and foraging. Additionally, anthropogenic noise from industrial activities contributes to acoustic pollution, intensifying this problem. This frequency overlap poses significant risks to marine life. Therefore, this review highlights the urgent need to develop environmentally aware UANs that minimize harmful acoustic interference with marine mammals, fish and invertebrates. Further, it focuses …

Bitcoin Halving: How Effective Is It In Driving Cryptocurrency Market Dynamics?, Nyoman Sri Subawa, Caren Angellina Mimaki, I. Made Oka Mahendra, Made Srinitha Millinia Utami

Research outputs 2022 to 2026

Bitcoin halving is a quadrennial event that halves mining rewards and is believed to influence cryptocurrency prices and cryptocurrency market dynamics. This study examines the effect of Bitcoin halving on Cryptocurrency Prices, with Government Regulations, Market Sentiment, and Cryptocurrency Performance as mediating variables. A quantitative research approach was employed, gathering original data via survey instruments from 294 participants within the cryptocurrency community in Bali, which were analyzed using PLS-SEM. The findings indicate that Bitcoin halving exerts a favorable and statistically meaningful influence on Government Regulations, Market Sentiment, Cryptocurrency Performance, and Cryptocurrency Prices. Market Sentiment fully mediates the influence of Government …

C2p-M: Critical Connection Protection In Multiplex Graphs, Conggai Li, Wei Ni, Ming Ding, Youyang Qu, Jianjun Chen, Wenjie Zhang, Thierry Rakotoarivelo

Research outputs 2022 to 2026

Multiplex graphs represent diverse real-world interactions among entities, where multiple relationship types coexist within the same set of entities. These graphs introduce privacy risks, as data collectors can exploit cross-layer dependencies to infer hidden and sensitive connections. In this work, we propose a C2P-M framework that identifies and protects critical connections while preserving the structural information in multiplex graphs. Unlike conventional methods for single-layer graphs that perturb all edges uniformly, C2P-M selectively protects critical connections, maintaining the analytical usability of the graph. To achieve this, we introduce the multiplex p-cohesion model, which incorporates new score functions that account for both …

Effect Of Caffeine Ingestion On Cycling Performance: A Systematic Review And Meta-Analysis, Jinyan Wu, Kai Xu, Mingyue Yin, Xianming Ding, Tong Wang, Qiubo Zhang, Xiaowei Wu, Ningkun Xiao

Research outputs 2022 to 2026

This study aimed to determine the effects of acute caffeine ingestion on cycling performance through a systematic review and meta-analysis, while also exploring the moderating roles of caffeine dosage, training status, and athlete age. A comprehensive search was conducted across five databases, yielding 20 eligible studies with a total of 226 participants. A three-level mixed-effects model was applied to pool main effects on cycling time trial performance, mean power output, mean heart rate, and ratings of perceived exertion (RPE). Subgroup analyses and meta-regression were performed to examine potential moderators. Caffeine intake significantly reduced cycling completion time (SMD = −0.36, 95% …

Effects Of Electroshock Treatment On Microstructure Evolution And Mechanical Properties Of Ti-8al-1mo-1v Alloy, Jian Zhou, Yu Peng Yao, Hong Xin Sun, Chang Liu, Yan Wen, Li Qiang Wang, Lai Chang Zhang, Le Chun Xie, Lin Hua

Research outputs 2022 to 2026

The effect mechanism of electroshock treatment (EST) on microstructure evolution and mechanical property variations of Ti-8Al-1Mo-1V alloy was investigated. The results show that EST results in the phase transformation from the acicular secondary αs to β phase. While the EST time is 0.12 s, the acicular martensitic phase (αM) precipitates. The results of electron backscattered diffraction (EBSD) reveals that the average grain size decreases from 3.95 to 2.53 μm after EST, indicating that the grains are refined, and the significant recrystallization behavior and martensitic transformation occur. The orientation distribution reveals a more uniform distribution of texture, which is caused by …

Glycomedicine: Unveiling The Paracentral Dogma, Wei Wang, Gordan Lauc

Research outputs 2022 to 2026

No abstract provided.

Optimizing Ev Battery Charging Using Fuzzy Logic In The Presence Of Uncertainties And Unknown Parameters, Minhaz Uddin Ahmed, Md Ohirul Qays, Stefan Lachowicz, Parvez Mahmud

Research outputs 2022 to 2026

The growing use of electric vehicles (EVs) creates challenges in designing charging systems that are smart, dependable, and efficient, especially when environmental conditions change. This research proposes a fuzzy-logic-based PID control strategy integrated into a photovoltaic (PV) powered EV charging system to address uncertainties such as fluctuating solar irradiance, grid instability, and dynamic load demands. A MATLAB-R2023a/Simulink-R2023a model was developed to simulate the charging process using real-time adaptive control. The fuzzy logic controller (FLC) automatically updates the PID gains by evaluating the error and how quickly the error is changing. This adaptive approach enables efficient voltage regulation and improved system …

Praxis: The Missing Theory To Practice Link In Maximising Early Childhood Science Opportunities, Pauline Roberts, Patricia R. Collins

Research outputs 2022 to 2026

Science teaching in early years contexts has been identified as deficient due to poor educator confidence, lack of content knowledge, or minimal opportunities being made available for science experiences. To identify strategies to counteract these factors, this study explored how these deficiencies are enacted in learning contexts by examining the beliefs and practices of educators across three early learning sites. The focus of this study was threefold: to gather the perception of educators in relation to early childhood science; explore the learning environments; and observe the interactions facilitated by the educators to develop scientific knowledge and skills for young children. …

Rapid Decentralized Prostate Cancer Risk Stratification By Portable Liquid Biopsy Analysis Within A Clinical Biosensor Validation Framework, Kevin M. Koo, Grant Phillips, Sriganesh Srihari, Áine Farrell, Binny Jaradi, Kira J. Fitzpatrick, John W. Yaxley, Hemamali Samaratunga, Paul N. Mainwaring, Ke-Lin Ru, Darren J. Korbie, Scott A. Tomlins, Matthew J. Roberts, Robert A. Gardiner, Matt Trau

Research outputs 2022 to 2026

Clinical liquid biopsy (e.g., blood or urine) specimens, as a minimally invasive source of crucial molecular information, continue to grow in importance for efficacious targeted cancer treatment. Yet, current molecular profiling technologies are still confined to centralized laboratory testing, which escalates testing costs, result turnaround time, and patient anxiety. Crucially, there is also a scarcity of purposeful clinical validation studies to rigorously evaluate emerging liquid biopsy technologies from research settings to facilitate clinical translation. Here, we report liquid biopsy biosensor advancements in achieving rapid, accurate, and decentralized molecular profiling of a clinically accredited prostate cancer (PCa) urinary circulating RNA biomarker …

Women In The Australian Mining Industry, Michelle Gander, Fleur Sharafizad, Aglae Hernandez Grande, Heidi Vivian, Mahan Poorhosseinzadeh, Kate Blackwood

Research outputs 2022 to 2026

This report synthesises existing research on women’s participation in the Australian mining industry to identify the structural and cultural factors shaping gender inequality across the sector.

Drawing on research conducted over the past four decades, the report brings together what is currently known about how mining workplaces operate and how organisational practices, work arrangements, and site cultures shape the experiences of women across the sector. While many companies have introduced diversity and inclusion initiatives aimed at improving gender balance, the evidence suggests that challenges persist in areas such as operational roles, leadership pathways, and workplace culture.

Specifically, the report examines …

Feeling Giggity: Ambiguous Emojis In Teaching And Learning Communications, Mary Kynn, Nicole Reinke, Eva Hatje

Research outputs 2022 to 2026

There is an increase in the number of digital platforms used in higher education classrooms that promote using emojis to capture students’ emotions. However, there is little evidence to suggest that interpretation of emojis is reliable in this context. This pilot project explored if emojis can reliably signify the emotions expressed by first-year university students. Students were asked to record their emotions by selecting a representative emoji and using free text to describe its meaning. A total of 72 responses were recorded in an anonymous online survey. Happy face emojis were used more frequently than emojis representing neutral or unpleasant …

Numerically Evaluating The Effect Of Extrusion Angle On Material Flow And Thermal Behaviour During Additive Friction Extrusion Deposition (Afed), Numan Habib, Ferdinando Guzzomi, Ana Vafadar

Research outputs 2022 to 2026

Additive Friction Extrusion Deposition (AFED), also known as “SoftTouch”, is an emerging friction-based Additive Manufacturing (AM) technology allowing material to soften before the deposition, increasing the printing speed and reducing cost [1]. However, high power is required during the process, as excessive force is needed to extrude enough material through the printing head. This study investigates how extrusion angle and tool rotational speed affect thermal distribution and material flow in AFED to minimise power consumption. A three-dimensional computational fluid dynamics (CFD) model is proposed, and ANSYS ^® Workbench CFD code (Fluent) is used to discretise the CFD model. A User-Defined …

Fracture Energy Of Ambient-Cured Fly Ash-Based Geopolymer Concrete, Alireza Mohyeddin, Trijon Karmokar, Mohammad Fardipour

Research outputs 2022 to 2026

Fracture energy is a key parameter in current prediction models for capacity of structural anchors. During broader research on behaviour of structural anchors in ambient-cured fly ash-based geopolymer concrete, it was realised that despite extensive literature on Ordinary Portland Cement (OPC) and other types of geopolymer concrete, there is a lack of literature on fracture energy of such geopolymer concretes. The purpose of the current research is to measure this property for this specific type of concrete using Wedge Splitting Test (WST) method. This method was selected due to its stable crack propagation and suitability for small-sized specimens. The influence …