ORCID Profile
0000-0003-0095-048X
Current Organisation
Western Sydney University
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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.
Construction Engineering | Civil Engineering | Civil Geotechnical Engineering | Civil Engineering not elsewhere classified | Infrastructure Engineering and Asset Management | Structural Engineering | Construction Materials |
Civil Construction Processes | Cement and Concrete Materials | Metals (e.g. Composites, Coatings, Bonding) | Civil Construction Design | Environmentally Sustainable Construction not elsewhere classified | Rail Equipment | Rail Infrastructure and Networks
Publisher: American Society of Civil Engineers
Date: 18-05-2010
Publisher: IOP Publishing
Date: 30-08-2017
Publisher: Hindawi Limited
Date: 2017
DOI: 10.1155/2017/4317670
Abstract: This study proposes an algorithm to solve inverse reliability problems with a single unknown parameter. The proposed algorithm is based on an existing algorithm, the inverse first-order reliability method (inverse-FORM), which uses the Hasofer Lind Rackwitz Fiessler (HLRF) algorithm. The initial algorithm analyzed in this study was developed by modifying the HLRF algorithm in inverse-FORM using the Broyden-Fletcher-Goldarb-Shanno (BFGS) update formula completely. Based on numerical experiments, this modification was found to be more efficient than inverse-FORM when applied to most of the limit state functions considered in this study, as it requires comparatively a smaller number of iterations to arrive at the solution. However, to achieve this higher computational efficiency, this modified algorithm sometimes compromised the accuracy of the final solution. To overcome this drawback, a hybrid method by using both the algorithms, original HLRF algorithm and the modified algorithm with BFGS update formula, is proposed. This hybrid algorithm achieves better computational efficiency, compared to inverse-FORM, without compromising the accuracy of the final solution. Comparative numerical ex les are provided to demonstrate the improved performance of this hybrid algorithm over that of inverse-FORM in terms of accuracy and efficiency.
Publisher: Springer International Publishing
Date: 05-11-2020
Publisher: Elsevier BV
Date: 10-2016
Publisher: Elsevier BV
Date: 2016
Publisher: Elsevier BV
Date: 12-2015
Publisher: Elsevier BV
Date: 11-2015
Publisher: Emerald
Date: 04-12-2018
DOI: 10.1108/JEDT-06-2017-0062
Abstract: The use of recycled aggregates (RA) has been explored to lead to a more sustainable future. The paper investigates on a sustainable concrete mix incorporating steel fibres (SF) and RA to provide an alternative to traditional natural aggregate concrete for structural applications. This paper aims to explore the feasibility of combining RA and SF in structural applications in terms of strength, cost and industry perspectives. A mixed research approach is established with two phases. Phase 1 aims to identify an optimum material combination that satisfies the structural strength requirements and to identify the costs in its optimum combination. Phase 2 involves qualitative interviews with key industry parties to explore their perspective and identify various enablers and barriers for this material. The optimum combination of 30 per cent RA replacement and 0.3 SF volume content has been identified through laboratory testing. It was noted that there would be a direct additional cost because of SF addition. However, when other benefits such as reduction in transportation costs and landfill dumping fees were considered, an overall cost saving could be achieved. Consequently, the key industry practitioners’ perspectives for this material have been gathered through qualitative interviews. Several enablers and barriers were identified through these interviews. Even though, there are various research attempts on improving RA for structural purpose by adding different additives, a holistic study that incorporate cost effects and the industry perspectives was lacking and is addressed in this current study. In particular, industry perspectives lead to refocus research directions and get closer to the realisation of a sustainable construction industry.
Publisher: American Society of Civil Engineers
Date: 25-02-2011
DOI: 10.1061/41142(396)14
Publisher: Elsevier BV
Date: 12-2018
Publisher: Elsevier BV
Date: 08-2017
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 05-2016
Publisher: Elsevier BV
Date: 06-2019
Publisher: Elsevier BV
Date: 02-2017
Publisher: Informa UK Limited
Date: 2015
Publisher: Springer Singapore
Date: 11-10-2020
Publisher: Elsevier BV
Date: 2016
Publisher: Wiley
Date: 15-11-2018
Publisher: SAGE Publications
Date: 05-2012
DOI: 10.1260/1369-4332.15.5.771
Abstract: Shear connectors are widely used in composite bridges that provide composite action. Their damage will reduce the load-carrying capacity of the structure. In this study, a novel method based on Kullback-Leibler distance (KLD) was developed to assess the integrity of the shear connectors. A bridge model was constructed in the laboratory and some removable anchors were specially designed and fabricated to link the beams and slab that were cast separately. Each anchor consists of a threaded bar that penetrates through the soffit of the beam and ties up into an embedded nut cap to simulate a shear connector in the real bridges. Different damage scenarios were introduced by pulling out some connectors. Vibration tests were carried out in each damage scenario. Various damage detection methods have been applied and results show that the method was able to detect all the assumed damage scenarios successfully and consistently.
Publisher: Frontiers Media SA
Date: 14-11-2018
Publisher: Elsevier BV
Date: 04-2017
Publisher: Elsevier BV
Date: 10-2019
Publisher: Elsevier BV
Date: 03-2009
Publisher: Springer International Publishing
Date: 05-11-2021
Publisher: Informa UK Limited
Date: 04-07-2022
Publisher: Elsevier BV
Date: 02-2011
Publisher: Elsevier BV
Date: 11-2015
Publisher: Elsevier BV
Date: 02-2017
Publisher: Elsevier BV
Date: 02-2016
Publisher: Elsevier BV
Date: 02-2021
Publisher: Elsevier BV
Date: 07-2020
Publisher: Elsevier BV
Date: 12-2020
Publisher: Springer Singapore
Date: 11-10-2019
Publisher: IOP Publishing
Date: 10-2017
Publisher: Informa UK Limited
Date: 08-09-2023
Publisher: Elsevier BV
Date: 09-2015
Publisher: Elsevier BV
Date: 11-2015
Publisher: Elsevier BV
Date: 2010
Publisher: Elsevier BV
Date: 11-2020
Publisher: Elsevier BV
Date: 2017
Publisher: Springer International Publishing
Date: 05-11-2020
Publisher: Elsevier BV
Date: 11-2015
Publisher: Elsevier BV
Date: 12-2018
Start Date: 2011
End Date: 03-2015
Amount: $255,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 12-2017
End Date: 12-2022
Amount: $3,937,625.00
Funder: Australian Research Council
View Funded Activity