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Images for Christchurch earthquake damage; more images...

Images, UC QuakeStudies

A photograph of the photocopy template for the Christchurch City Council's yellow sticker. The sticker was used by the Civil Defence after the 2010 and 2011 earthquakes to indicate that a building had been inspected and that structural damage or other safety hazards had been found. The sticker states that there should be no entry to the building, 'except on essential business'. It also states that 'earthquake aftershocks present danger' and that people who enter must do so at their own risk.

Research papers, University of Canterbury Library

As a result of the Canterbury earthquakes, over 60% of the concrete buildings in the Christchurch Central Business District have been demolished. This experience has highlighted the need to provide guidance on the residual capacity and repairability of earthquake-damaged concrete buildings. Experience from 2010 Chile indicates that it is possible to repair severely damaged concrete elements (see photo at right), although limited testing has been performed on such repaired components. The first phase of this project is focused on the performance of two lightly-reinforced concrete walls that are being repaired and re-tested after damage sustained during previous testing.

Images, UC QuakeStudies

A photograph of the platform for the Townsend Telescope amongst the rubble of the Observatory tower at the Christchurch Arts Centre. The tower collapsed during the 22 February 2011 earthquake, severely damaging the telescope.

Images, UC QuakeStudies

A photograph of the earthquake damage to the Observatory tower at the Christchurch Arts Centre. The top two storeys of the tower collapsed during the 22 February 2011 earthquake and the rubble spilled into the courtyard in front. A digger was used to clear the rubble away from the building. A tarpaulin has been draped over the top of the tower.

Images, eqnz.chch.2010

The obligatory earthquake damage shot. Taken on Ilford Pan F+ with a Yashica-Mat 124G, developed in ID-11 for 8.5 minutes, printed on Ilford Multigrade IV RC, print developed in Ilford Universal PQ.

Research papers, The University of Auckland Library

This thesis presents the application of data science techniques, especially machine learning, for the development of seismic damage and loss prediction models for residential buildings. Current post-earthquake building damage evaluation forms are developed for a particular country in mind. The lack of consistency hinders the comparison of building damage between different regions. A new paper form has been developed to address the need for a global universal methodology for post-earthquake building damage assessment. The form was successfully trialled in the street ‘La Morena’ in Mexico City following the 2017 Puebla earthquake. Aside from developing a framework for better input data for performance based earthquake engineering, this project also extended current techniques to derive insights from post-earthquake observations. Machine learning (ML) was applied to seismic damage data of residential buildings in Mexico City following the 2017 Puebla earthquake and in Christchurch following the 2010-2011 Canterbury earthquake sequence (CES). The experience showcased that it is readily possible to develop empirical data only driven models that can successfully identify key damage drivers and hidden underlying correlations without prior engineering knowledge. With adequate maintenance, such models have the potential to be rapidly and easily updated to allow improved damage and loss prediction accuracy and greater ability for models to be generalised. For ML models developed for the key events of the CES, the model trained using data from the 22 February 2011 event generalised the best for loss prediction. This is thought to be because of the large number of instances available for this event and the relatively limited class imbalance between the categories of the target attribute. For the CES, ML highlighted the importance of peak ground acceleration (PGA), building age, building size, liquefaction occurrence, and soil conditions as main factors which affected the losses in residential buildings in Christchurch. ML also highlighted the influence of liquefaction on the buildings losses related to the 22 February 2011 event. Further to the ML model development, the application of post-hoc methodologies was shown to be an effective way to derive insights for ML algorithms that are not intrinsically interpretable. Overall, these provide a basis for the development of ‘greybox’ ML models.

Images, UC QuakeStudies

A photograph of the earthquake damage to a building in central Christchurch. The basement of the building has collapsed and the concrete blocks have broken away from each other. The left corner of the building has also suffered damage, with many of the concrete blocks shaking loose.

Research papers, The University of Auckland Library

Utility managers are always looking for appropriate tools to estimate seismic damage in wastewater networks located in earthquake prone areas. Fragility curves, as an appropriate tool, are recommended for seismic vulnerability analysis of buried pipelines, including pressurised and unpressurised networks. Fragility curves are developed in pressurised networks mainly for water networks. Fragility curves are also recommended for seismic analysis in unpressurised networks. Applying fragility curves in unpressurised networks affects accuracy of seismic damage estimation. This study shows limitations of these curves in unpressurised networks. Multiple case study analysis was applied to demonstrate the limitations of the application of fragility curves in unpressurised networks in New Zealand. Four wastewater networks within New Zealand were selected as case studies and various fragility curves used for seismic damage estimation. Observed damage in unpressurised networks after the 2007 earthquake in Gisborne and the 2010 earthquake in Christchurch demonstrate the appropriateness of the applied fragility curves to New Zealand wastewater networks. This study shows that the application of fragility curves, which are developed from pressurised networks, cannot be accurately used for seismic damage assessment in unpressurised wastewater networks. This study demonstrated the effects of different parameters on seismic damage vulnerability of unpressurised networks.

Images, UC QuakeStudies

For the first time in November 2011, Christchurch residents finally had the opportunity to see the earthquake-damaged city centre on the Red Zone bus tours organised by CERA. Looking into Cathedral Square.

Images, UC QuakeStudies

For the first time in November 2011, Christchurch residents finally had the opportunity to see the earthquake-damaged city centre on the Red Zone bus tours organised by CERA. Looking into Cathedral Square.