Members of the University of Canterbury's E-Learning team in their temporary office in the NZi3 building. The photographer comments, "University of Canterbury administration all fits into one building! Well, sort of. The e-learning corner; Alan Hoskin (learning adviser) in the foreground, some guy in a blue shirt at my desk, Rob Stowell (our video guy) arriving, Herbert Thomas (group leader), Lei Zhang (elearning developer/sysadmin)".
Members of the University of Canterbury's E-Learning team, Jess Hollis, Alan Hoskin, Paul Nicholls and Susan Tull, in their temporary office in the NZi3 building. The photographer comments, "University of Canterbury administration all fits into one building! Well, sort of. Jess with laptop on side desk, Paul the same on the other side, Susan getting sorted, Alan on the phone. Another day in the e-learning corner".
The September Canterbury earthquake. These pictures were taken of Colombo Street in Sydenham. A lot of masonry in this area has been damaged/fallen down. Ascot TV. This has relocated further south on Colombo Street. Apparently their building on Cranford Street was also severely damaged. Note: these photos were taken on a cellphone; mind the qu...
The September Canterbury earthquake. These pictures were taken of Colombo Street in Sydenham. A lot of masonry in this area has been damaged/fallen down. Angus Donaldson copy service. This has moved down the road on Colombo Street. It is now sharing the premises with Penny Lane Records. Note: these photos were taken on a cellphone; mind the qu...
Well-validated liquefaction constitutive models are increasingly important as non-linear time history analyses become relatively more common in industry for key projects. Previous validation efforts of PM4Sand, a plasticity model specifically for liquefaction, have generally focused on centrifuge tests; however, pore pressure transducers installed at several free-field sites during the Canterbury Earthquake Sequence (CES) in Christchurch, New Zealand provide a relatively unique dataset to validate against. This study presents effective stress site response analyses performed in the finite difference software FLAC to examine the capability of PM4Sand to capture the generation of excess pore pressures during earthquakes. The characterization of the subsurface is primarily based on extensive cone penetration tests (CPT) carried out in Christchurch. Correlations based on penetration resistances are used to estimate soil parameters, such as relative density and shear wave velocity, which affect liquefaction behaviour. The resulting free-field FLAC model is used to estimate time histories of excess pore pressure, which are compared with records during several earthquakes in the CES to assess the suitability of PM4Sand.
Motivation This poster aims to present fragility functions for pipelines buried in liquefaction-prone soils. Existing fragility models used to quantify losses can be based on old data or use complex metrics. Addressing these issues, the proposed functions are based on the Christchurch network and soil and utilizes the Canterbury earthquake sequence (CES) data, partially represented in Figure 1. Figure 1 (a) presents the pipe failure dataset, which describes the date, location and pipe on which failures occurred. Figure 1 (b) shows the simulated ground motion intensity median of the 22nd February 2011 earthquake. To develop the model, the network and soil characteristics have also been utilized.
Badly damaged in both the September and February quakes and over 6000 aftershocks the Point Pleasant yacht club had started to sink into the Avon estuary before being demolished in July 2011 after the June 6.3 earthquake
Disclosure CEO expenses
University of Canterbury staff members are escorted by Civil Defence members in order to retrieve essential items from their offices. The photographer comments, "E-learning team collect their stuff".
A copy of the mechanical repair strategy for the Townsend Telescope. The strategy was written by Graeme Kershaw, Technician at the University of Canterbury Department of Physics and Astronomy.
A copy of the award application which SCIRT, the Christchurch City Council, Environment Canterbury and Beca submitted for the New Zealand Planning Institute Best Practice Award in February 2013.
A photograph of a crack in between the stairway and a column of the Physics Building at the Canterbury Arts Centre. The crack formed during the 22 February 2011 earthquake.
Heathcote Valley school strong motion station (HVSC) consistently recorded ground motions with higher intensities than nearby stations during the 2010-2011 Canterbury earthquakes. For example, as shown in Figure 1, for the 22 February 2011 Christchurch earthquake, peak ground acceleration at HVSC reached 1.4 g (horizontal) and 2 g (vertical), the largest ever recorded in New Zealand. Strong amplification of ground motions is expected at Heathcote Valley due to: 1) the high impedance contrast at the soil-rock interface, and 2) the interference of incident and surface waves within the valley. However, both conventional empirical ground motion prediction equations (GMPE) and the physics-based large scale ground motions simulations (with empirical site response) are ineffective in predicting such amplification due to their respective inherent limitations.
A significant portion of economic loss from the Canterbury Earthquake sequence in 2010-2011 was attributed to losses to residential buildings. These accounted for approximately $12B of a total $40B economic losses (Horspool, 2016). While a significant amount of research effort has since been aimed at research in the commercial sector, little has been done to reduce the vulnerability of the residential building stock.
A pdf copy of a PowerPoint presentation made for the Water Services Association of Australia conference, about SCIRT's approach to asset investigation after the Canterbury earthquakes of 2010 and 2011.
University of Canterbury staff members are escorted by Civil Defence members in order to retrieve essential items from their offices. The photographer comments, "ICT network admins, Craig Miller and Aaron Eivers".
University of Canterbury staff members are escorted by Civil Defence members in order to retrieve essential items from their offices. The photographer comments, "E-learning team vacate their floor. (Blurry, sorry.)
A paper prepared for the Water New Zealand 2014 conference which considers resilience lessons for reservoirs, pump stations and pipelines.
A paper which outlines SCIRT's approach to asset assessment, design and repair of damaged retaining walls, and presents a case study of a retaining wall rebuild, on Cunningham Terrace, Lyttelton.
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A member of the University of Canterbury's E-Learning team, Jessica Hollis, in their new office in the James Hight building. The photographer comments, " Jess Hollis settles in to her new workspace".
In this paper we apply Full waveform tomography (FWT) based on the Adjoint-Wavefield (AW) method to iteratively invert a 3-D geophysical velocity model for the Canterbury region (Lee, 2017) from a simple initial model. The seismic wavefields was generated using numerical solution of the 3-D elastodynamic/ visco- elastodynamic equations (EMOD3D was adopted (Graves, 1996)), and through the AW method, gradients of model parameters (compression and shear wave velocity) were computed by implementing the cross-adjoint of forward and backward wavefields. The reversed-in-time displacement residual was utilized as the adjoint source. For inversion, we also account for the near source/ station effects, gradient precondition, smoothening (Gaussian filter in spatial domain) and optimal step length. Simulation-to-observation misfit measurements based on 191 sources at 78 seismic stations in the Canterbury region (Figure 1) were used into our inversion. The inversion process includes multiple frequency bands, starting from 0-0.05Hz, and advancing to higher frequency bands (0-0.1Hz and 0-0.2Hz). Each frequency band was used for up to 10 iterations or no optimal step length found. After 3 FWT inversion runs, the simulated seismograms computed using our final model show a good matching with the observed seismograms at frequencies from 0 - 0.2 Hz and the normalized least-squared misfit error has been significantly reduced. Over all, the synthetic study of FWT shows a good application to improve the crustal velocity models from the existed geological models and the seismic data of the different earthquake events happened in the Canterbury region.
Abstract This study provides a simplified methodology for pre-event data collection to support a faster and more accurate seismic loss estimation. Existing pre-event data collection frameworks are reviewed. Data gathered after the Canterbury earthquake sequences are analysed to evaluate the relative importance of different sources of building damage. Conclusions drawns are used to explore new approaches to conduct pre-event building assessment.
Welcome to the Recover newsletter Issue 6 from the Marine Ecology Research Group (MERG) of the University of Canterbury. Recover is designed to keep you updated on our MBIE-funded earthquake recovery project called RECOVER (Reef Ecology, Coastal Values & Earthquake Recovery). This 6th instalment features the ‘new land’ created by the earthquake uplift of the coastline, recreational uses of beaches in Marlborough, and pāua survey work and hatchery projects with our partners in Kaikōura.
Temporary office space set up in the NZi3 building. The photographer comments, "University of Canterbury administration all fits into one building! Well, sort of. Looking east from our bay - library and IT people".
One of the tents set up in the Fine Arts car park at the University of Canterbury, used for teaching while lecture theatres were closed for structural testing. The photographer comments, "Temporary lecture tents".
Members of the University of Canterbury's E-Learning team meet at a staff member's home on Wairakei Road to plan their return to work. The photographer comments, "E-Learning team: Susan Tull, Jess Hollis".
1. Background and Objectives This poster presents results from ground motion simulations of small-to-moderate magnitude (3.5≤Mw≤5.0) earthquake events in the Canterbury, New Zealand region using the Graves and Pitarka (2010,2015) methodology. Subsequent investigation of systematic ground motion effects highlights the prediction bias in the simulations which are also benchmarked against empirical ground motion models (e.g. Bradley (2013)). In this study, 144 earthquake ruptures, modelled as point sources, are considered with 1924 quality-assured ground motions recorded across 45 strong motion stations throughout the Canterbury region, as shown in Figure 1. The majority of sources are Mw≥4.0 and have centroid depth (CD) 10km or shallower. Earthquake source descriptions were obtained from the GeoNet New Zealand earthquake catalogue. The ground motion simulations were performed within a computational domain of 140km x 120km x 46km with a finite difference grid spacing of 0.1km. The low-frequency (LF) simulations utilize the 3D Canterbury Velocity Model while the high-frequency (HF) simulations utilize a generic regional 1D velocity model. In the LF simulations, a minimum shear wave velocity of 500m/s is enforced, yielding a maximum frequency of 1.0Hz.
Members of the University of Canterbury's E-Learning team in their temporary office in the NZi3 building. The photographer comments, "E-learning group had one bay of desks to work from for 3 weeks".
University of Canterbury ICT staff members prepare to be escorted to buildings by Civil Defence members in order to retrieve computers from offices. The photographer comments, "ICT staff head out to retrieve computers from buildings".