ORCID Profile
0000-0003-0090-8484
Current Organisation
UNSW Sydney
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Systems engineering | Civil engineering | Manufacturing engineering | Geomechanics and Resources Geotechnical Engineering | Resources Engineering and Extractive Metallurgy | Mining Engineering | Tribology | Mining engineering | Manufacturing processes and technologies (excl. textiles) | Fire safety engineering | Functional materials
Management of Greenhouse Gas Emissions from Mineral Resource Activities | Coal Mining and Extraction | Workplace Safety |
Publisher: Springer Science and Business Media LLC
Date: 11-2015
Publisher: MDPI AG
Date: 02-06-2018
DOI: 10.3390/S18061799
Abstract: Fiber Bragg grating (FBG) measuring bolts, as a useful tool to evaluate the behaviors of steel bolts in underground engineering, can be manufactured by gluing the FBG sensors inside the grooves, which are usually symmetrical cuts along the steel bolt rod. The selection of the cut shape and the glue types could perceivably affect the final supporting strength of the bolts. Unfortunately, the impact of cut shape and glue type on bolting strength is not yet clear. In this study, based on direct tension tests, full tensile load–displacement curves of rock bolts with different groove shapes were obtained and analyzed. The effects of groove shape on the bolt strength were discussed, and the stress redistribution in the cross-section of a rock bolt with different grooves was simulated using ANSYS. The results indicated that the trapezoidal groove is best for manufacturing the FBG bolt due to its low reduction of supporting strength. Four types of glues commonly used for the FBG sensors were assessed by conducting tensile tests on the mechanical testing and simulation system and the static and dynamic optical interrogators system. Using linear regression analysis, the relationship between the reflected wavelength of FBG sensors and tensile load was obtained. Practical recommendations for glue selection in engineering practice are also provided.
Publisher: Elsevier BV
Date: 12-2021
Publisher: Elsevier BV
Date: 05-2021
Publisher: Elsevier BV
Date: 10-2022
Publisher: Springer Science and Business Media LLC
Date: 03-09-2018
Publisher: Elsevier BV
Date: 09-2015
Publisher: Springer Science and Business Media LLC
Date: 06-08-2021
Publisher: Elsevier BV
Date: 07-2017
Publisher: MDPI AG
Date: 21-10-2016
DOI: 10.3390/S16101759
Publisher: Elsevier BV
Date: 05-2015
Publisher: Elsevier BV
Date: 07-2020
Publisher: Elsevier BV
Date: 05-2015
Publisher: Springer Science and Business Media LLC
Date: 08-01-2019
DOI: 10.1038/S41467-018-07819-1
Abstract: Emmanuelle Souzeau, who contributed to analysis of data, was inadvertently omitted from the author list in the originally published version of this Article. This has now been corrected in both the PDF and HTML versions of the Article.
Publisher: Elsevier BV
Date: 11-2019
Publisher: Elsevier BV
Date: 12-2021
Publisher: Elsevier BV
Date: 04-2022
Publisher: Elsevier BV
Date: 2023
Publisher: Elsevier BV
Date: 06-2018
Publisher: Elsevier BV
Date: 03-2020
Publisher: Elsevier BV
Date: 2016
Publisher: American Medical Association (AMA)
Date: 20-09-2019
Publisher: Elsevier BV
Date: 12-2021
Publisher: Springer Science and Business Media LLC
Date: 26-02-2022
DOI: 10.1007/S00603-022-02805-Y
Abstract: Mineral and hydrocarbon exploration relies heavily on geological and geotechnical information extracted from drill cores. Traditional drill-core characterization is based purely on the subjective expertise of a geologist. New technologies can provide automatic mineral analysis and high-resolution drill core images in a non-destructive manner. However, automated rock mass characterization presents a significant challenge due to its lack of generalization and robustness. To date, the automated estimation of rock quality designation (RQD), a key parameter for rock mass classification, is based mostly on digital image processing techniques with significant user biases. Alternatively, we propose using computer vision and machine learning-based algorithms for drill core characterization using drill core images to determine the RQD. A convolutional neural network (CNN) is used to detect and classify intact and non-intact cores, and to filter out empty tray areas and non-rock objects present in the core trays. The model calculates the length of the detected intact cores and estimates the RQD. We train the CNN model with thousands of sandstone core images from different drill holes in South Australia. The proposed method is tested on 540 sandstone core rows and 90 limestone core rows (~ 1 m each), which produces average error rates of 2.58% and 3.17%, respectively.
Publisher: Springer Science and Business Media LLC
Date: 26-11-2020
Publisher: Springer Science and Business Media LLC
Date: 14-05-2018
DOI: 10.1038/S41467-018-03646-6
Abstract: Central corneal thickness (CCT) is a highly heritable trait associated with complex eye diseases such as keratoconus and glaucoma. We perform a genome-wide association meta-analysis of CCT and identify 19 novel regions. In addition to adding support for known connective tissue-related pathways, pathway analyses uncover previously unreported gene sets. Remarkably, % of the CCT-loci are near or within Mendelian disorder genes. These included FBN1 , ADAMTS2 and TGFB2 which associate with connective tissue disorders (Marfan, Ehlers-Danlos and Loeys-Dietz syndromes), and the LUM-DCN-KERA gene complex involved in myopia, corneal dystrophies and cornea plana. Using index CCT-increasing variants, we find a significant inverse correlation in effect sizes between CCT and keratoconus ( r = −0.62, P = 5.30 × 10 −5 ) but not between CCT and primary open-angle glaucoma ( r = −0.17, P = 0.2). Our findings provide evidence for shared genetic influences between CCT and keratoconus, and implicate candidate genes acting in collagen and extracellular matrix regulation.
Publisher: Elsevier BV
Date: 07-2021
Publisher: Elsevier BV
Date: 2022
Publisher: Elsevier BV
Date: 09-2022
Publisher: Elsevier BV
Date: 06-2020
Publisher: Elsevier BV
Date: 08-2020
Publisher: Elsevier BV
Date: 05-2020
Publisher: Springer Science and Business Media LLC
Date: 30-07-2020
Publisher: Springer Science and Business Media LLC
Date: 24-05-2022
DOI: 10.1007/S00603-022-02908-6
Abstract: The determination of internal material damage is always an arduous challenge. Non-destructive monitoring methods show great potential in quantitatively determining the internal material properties, whereas most of the studies relying on external observations remain in a qualitative stage. They either violate the basic thermodynamic assumptions or are difficult to guide engineering practice. In this paper, following the theory of continuum mechanics, an elastoplastic damage model based on non-destructive monitoring methods (i.e., acoustic emission and ultrasonic wave velocity measurement) has been developed. To capture the continuous and precise damage evolution inside rock mass, P wave velocity obtained by ultrasonic wave measurement was utilised and then considered as an input for the proposed elastoplastic damage model. Triaxial loading test results on six Gosford sandstone s les were analysed first to characterise critical stresses along the stress–strain loading curves, such as crack closure stress, stable crack propagation stress and unstable crack propagation stress. The drop of ultrasonic wave velocity can be seen as an indicator to represent the damage evolution inside rock material. Damage initiation is also closely related to the confining stress and dilation induced volumetric expansion. The test results also suggested that the Drucker–Prager criterion is sufficient to describe the plastic yielding surface and the following material hardening. A non-associated plastic flow assumption was adopted, considering the essence of microcrack shearing in rock failure and the effect of hydrostatic pressure on plastic deformation. A modified Drucker–Prager plastic potential was also introduced to track the orientation of plastic increment with material hardening. A scalar damage variable was derived from ultrasonic wave measurement results to indirectly represent the deterioration of rock properties (modulus). The proposed model was used to match lab test results with high consistency, and the main features of rock behaviour in triaxial loading tests were successfully captured by the model. Finally, the damage evolution of rock s les was analysed, which indicates that damage is dependent on its conjugate force, namely damage energy release rate Y . This study proves that P wave velocity can be an effective approach to measure and forecast the internal damage evolution inside rock mass, which has broad prospects for engineering applications.
Publisher: Elsevier BV
Date: 06-2016
Publisher: CRC Press
Date: 04-07-2019
Publisher: Elsevier BV
Date: 10-2020
Publisher: American Chemical Society (ACS)
Date: 03-12-2020
Publisher: Elsevier BV
Date: 2022
Publisher: Elsevier BV
Date: 07-2023
Publisher: Elsevier BV
Date: 09-2021
Publisher: Springer Science and Business Media LLC
Date: 11-09-2020
Publisher: Elsevier BV
Date: 10-2018
Publisher: Elsevier BV
Date: 05-2023
Publisher: Elsevier BV
Date: 12-2019
Publisher: American Chemical Society (ACS)
Date: 24-02-2020
Location: United Kingdom of Great Britain and Northern Ireland
Start Date: 09-2022
End Date: 08-2025
Amount: $298,389.00
Funder: Australian Research Council
View Funded ActivityStart Date: 05-2023
End Date: 05-2028
Amount: $4,969,602.00
Funder: Australian Research Council
View Funded ActivityStart Date: 04-2024
End Date: 04-2029
Amount: $4,999,700.00
Funder: Australian Research Council
View Funded Activity