Photograph captioned by BeckerFraserPhotos, "BNZ Bank under demolition Hereford Street".
Photograph captioned by BeckerFraserPhotos, "New Zealand Post, ASB Bank and BNZ Bank on Oxford Terrace".
Scaffolding surrounds the Bank of New Zealand building, Cathedral Square.
Photograph captioned by BeckerFraserPhotos, "A pile of building rubble from the BNZ bank with the All Seasons Hotel (left) and Holiday Inn (right) in Cashel Street. Photo taken in Hereford Street".
Photograph captioned by BeckerFraserPhotos, "Millennium Hotel, Cathedral Square, with a set of stairs from the BNZ bank under demolition being craned from the building".
Photograph captioned by BeckerFraserPhotos, "Clarendon Tower (left), Westpac Bank (centre), Grant Thornton building (white right of the Westpac in the distance), ANZ Bank (white with vertical stripes below the Grant Thornton), BNZ bank (red), and Holiday Inn (right) all under demolition, viewed from Alice in Videoland".
A photograph of a sign on the BNZ bank in London Street in Lyttelton, reading "We have moved to our 'Lyttel Bank' temporarily".
A black and white historic photograph of the old BNZ Building, taken from Cathedral Square, 1929.
Photograph captioned by BeckerFraserPhotos, "A concrete muncher on High Street looking towards Colombo Street".
A man walks along Hereford Street, past the former site of the ANZ bank in Cathedral Square. In the background is the partially-demolished BNZ building.
Photograph captioned by BeckerFraserPhotos, "High Street looking towards the Square".
Photograph captioned by BeckerFraserPhotos, "Westpac Bank (left), Grant Thornton building (white right of the Westpac in the distance), ANZ Bank (white with vertical stripes below the Grant Thornton), and Holiday Inn (right) all under demolition".
Photograph captioned by BeckerFraserPhotos, "Cathedral".
Photograph captioned by BeckerFraserPhotos, "Cathedral Square".
An aerial photograph of Hereford Street and Cathedral Square. The photograph has been captioned by BeckerFraserPhotos, "Hereford Street running across the foreground of this photograph, with Cathedral Square above. The IBIS Hotel and the ANZ Bank are staying, while the BNZ is currently being soft-stripped. Christ Church Cathedral officially has a status of 'partial demolish'".
An aerial photograph of the Re:Start mall.
Photograph captioned by BeckerFraserPhotos, "View centered on the Millennium Hotel in Cathedral Square".
An aerial photograph of the Christchurch central city. The photograph has been captioned by BeckerFraserPhotos, "Tall buildings of the central city with the Christ Church Cathedral in the middle".
Rapid, reliable information on earthquake-affected structures' current damage/health conditions and predicting what would happen to these structures under future seismic events play a vital role in accelerating post-event evaluations, leading to optimized on-time decisions. Such rapid and informative post-event evaluations are crucial for earthquake-prone areas, where each earthquake can potentially trigger a series of significant aftershocks, endangering the community's health and wealth by further damaging the already-affected structures. Such reliable post-earthquake evaluations can provide information to decide whether an affected structure is safe to stay in operation, thus saving many lives. Furthermore, they can lead to more optimal recovery plans, thus saving costs and time. The inherent deficiency of visual-based post-earthquake evaluations and the importance of structural health monitoring (SHM) methods and SHM instrumentation have been highlighted within this thesis, using two earthquake-affected structures in New Zealand: 1) the Canterbury Television (CTV) building, Christchurch; 2) the Bank of New Zealand (BNZ) building, Wellington. For the first time, this thesis verifies the theoretically- and experimentally validated hysteresis loop analysis (HLA) SHM method for the real-world instrumented structure of the BNZ building, which was damaged severely due to three earthquakes. Results indicate the HLA-SHM method can accurately estimate elastic stiffness degradation for this reinforced concrete (RC) pinched structure across the three earthquakes, which remained unseen until after the third seismic event. Furthermore, the HLA results help investigate the pinching effects on the BNZ building's seismic response. This thesis introduces a novel digital clone modelling method based on the robust and accurate SHM results delivered by the HLA method for physical parameters of the monitored structure and basis functions predicting the changes of these physical parameters due to future earthquake excitations. Contrary to artificial intelligence (AI) based predictive methods with black-box designs, the proposed predictive method is entirely mechanics-based with an explicitly-understandable design, making them more trusted and explicable to stakeholders engaging in post-earthquake evaluations, such as building owners and insurance firms. The proposed digital clone modelling framework is validated using the BNZ building and an experimental RC test structure damaged severely due to three successive shake-table excitations. In both structures, structural damage intensifies the pinching effects in hysteresis responses. Results show the basis functions identified from the HLA-SHM results for both structures under Event 1 can online estimate structural damage due to subsequent Events 2-3 from the measured structural responses, making them valuable tool for rapid warning systems. Moreover, the digital twins derived for these two structures under Event 1 can successfully predict structural responses and damage under Events 2-3, which can be integrated with the incremental dynamic analysis (IDA) method to assess structural collapse and its financial risks. Furthermore, it enables multi-step IDA to evaluate earthquake series' impacts on structures. Overall, this thesis develops an efficient method for providing reliable information on earthquake-affected structures' current and future status during or immediately after an earthquake, considerably guaranteeing safety. Significant validation is implemented against both experimental and real data of RC structures, which thus clearly indicate the accurate predictive performance of this HLA-based method.