Projects

Utilisation of Terrestrial Laser Scanner (TLS) and Artificial Intelligence (AI) for bridge health monitoring

Aim: Using Terrestrial Laser Scanner (TLS) and Artificial Intelligence (AI) for digital twin development, damage detection and health monitoring of bridges

Research training and work placement:                                          

  • Senior Research Assistant and PhD Student: Mr Masoud Mohammadi
  • Postdoctoral Research Fellow: Dr Yang Yu
  • Research Assistant: Mr Vahid Mousavi

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Use of Terrestrial Laser Scanning (TLS) for modern damage assessment of the structural components

Aim: verifying the reliability and applicability of point cloud data attained from TLS in health monitoring of a structure.

Research training and work placement:                                          

  • Master Students: Pawan Regmi, Ankit Bhattarai
  • Research Assistant: Mr Vahid Mousavi

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Feasibility study of using Remotely Piloted Aircraft (RPA) systems for bridge inspection

  • Project Category: CAT 2 Industry Project
  • Industry Partner: TfNSW
  • Project Leaders: Dr Maria Rashidi

Aim: Examining the feasibility of utilising RPAs/Drones for inspection and health monitoring of bridges

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Health monitoring of AMP building during its partial demolition and reconstruction

Aim: Structural safety and health evaluation of the central core wall of a 48-storey building during demolition and renovation

Research training and work placement:                                          

  • PhD Student: Shohreh Alaedini

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Digital twin development of McKanes Bridge

  • Project Category: CAT 2 Industry Project
  • Industry Partner: TfNSW
  • Project Leaders: Dr Maria Rashidi

Aim: 3D model creation and accuracy evaluation of TLS and photogrammetry based data points, McKanes Bridge case study

Research training and work placement:                                          

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Estimating corrosion rate of steel elements in transmission towers

Aim: Estimating corrosion rate of steel components in transmission and telecommunication towers

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Design and investigation works for the upgrade and replacement of Cedar Point Bridge

Aim: Design and investigation works for the upgrade and replacement of Cedar Point Bridge

Research Outcomes: Geometrical model of the bridge using drones, flood assessment, material property testing and structural analysis report

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Design and investigation works for the upgrade and replacement of Cedar Point Bridge

  • Project Category: CAT 3 Industry Project
  • Industry Partner: Gundagai Historic Bridges
  • Project Leaders: Dr Maria Rashidi

Aim: Digital twin development of Prince Alfred bridge through utilisation of RPAs

Research training and work placement:                                          

  • Postdoctoral Research Fellow: Dr Hassan Malekzehtab

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Drone inspection and structural assessment of Mt Emu Creek Bridge

Aim: Drone inspection, condition assessment and structural analysis of Mt Emu Creek Bridge

Research training and work placement:                                          

  • Postdoctoral Research Fellow: Dr Hassan Malekzehtab

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Rehabilitation and strengthening of the Cedar Point Bridge substructure

  • Project Category: CAT 3 Industry Project
  • Industry Partner: Kyogle Council
  • Project Leaders: Dr Kamyar Kildashti

Aim: Rehabilitation design for the substructure of Cedar bridge

Research training and work placement:                                          

  • Postdoctoral Research Fellow: Dr Hassan Malekzehtab

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Structural health monitoring of Mongarlowe Bridge using Dynamic Frequency Analysis (DFA)

Aim: Structural health monitoring of timber bridges using Dynamic Frequency Analysis (DFA)

Research training and work placement:                                          

  • Postdoctoral Research Fellow: Dr Amir Azad

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Developing a low-cost accurate bridge weigh in motion system for estimation of gross and axle vehicle weights

Aim: Developing a low-cost accurate bridge weigh in motion system for estimation of gross and axle vehicle weights

Research training and work placement:                                          

  • PhD Student: Solmaz Pourzeinali

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Remotely piloted aircraft and laser scanning survey of John Foord Bridge

  • Project Category: CAT 2 Industry Project
  • Industry Partner: TfNSW
  • Project Leaders: Dr Maria Rashidi

Aim: RPA photogrammetry and laser scanning survey of John Foord Bridge

Research training and work placement:                                          

  • Postdoctoral Research Fellow: Dr Mohsen Askari

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Digital twin development of Gee Gee Bridge

Aim: 3D model creation based on RPA photogrammetry

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Digital twin development of Windsor Bridge

Aim: 3D model creation based on RPA photogrammetry

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Digital twin development of Tunks Creek Bridge

Aim: 3D model creation based on TLS scanning

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Structural assessment and level 3 inspection of Eight City of Sydney Bridges

Aim: Structural assessment and level 3 inspection of Eight City of Sydney Bridges

Research Outcomes: Comprehensive condition assessment and structural analysis report

Research Training and work placement:

Research Assistant: Dr Amir Azad

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Drone Assisted Traffic Survey for Homebush Bay Drive and Australia Avenue Intersection

  • Project Category: CAT 2 Industry Project
  • Industry Partner: TfNSW
  • Project Leaders: Dr Maria Rashidi

Aim: Traffic analysis using RPA data capture and Artificial Intelligence (AI)

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Aerial site inspection of Berowra Reservoir

  • Project Category: CAT 3 Industry Project
  • Industry Partner: GHD Pty Ltd
  • Project Leaders: Dr Maria Rashidi

Aim: Aerial site inspection and condition assessment of Berowra Reservoir

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Quantitative Based Protection Coating Assessment Using Digital Imaging and Artificial Intelligence

  • Project Category: CAT 3 Industry Project
  • Industry Partner: Mincka Engineering Pty Ltd
  • Project Leaders: Dr Maria Rashidi, Dr Yang Yu, Prof. Bijan Samali

Project Description:

Protective coatings shield the structure from damaging aspects of the environment including sunlight, humidity, corrosive agents such as salts and windborne abrasives. Without protective coatings, the life of steel structures would be severely shortened. Therefore, it is crucial that the protective coating is always working effectively. Current assessment coatings inspection practises involving qualified inspectors. These inspectors conduct assessments of the coatings using a rating system. These practices are labour intensive and can be subjective in many cases.

Aim:

This project accordingly aims to find a reliable and cost-effective objective methodology to evaluate the corrosion condition of raw coal processing structures and coal handling and preparation plants (CHPP). It is understood that the ability to categorise by the level of damage to coatings and quantify affected areas would greatly improve that ability of plant managers to control risks and manage budgets more efficiently. Thus, the outcome of this research will address ‘Corrosion’ priority by ensuring quantitative protection coating assessment of coal processing and preparation facilities to enable data-driven decision making.