Search

found 4532 results

Images for CANTERBURY; more images...

Images, UC QuakeStudies

A photograph of the Townsend Telescope in the Observatory at the Christchurch Arts Centre. This image was used by Graeme Kershaw, Technician at the University of Canterbury Department of Physics and Astronomy, to identify the telescope's parts after the 22 February 2011 earthquake.

Images, UC QuakeStudies

University of Canterbury students outside one of the tents used while lecture theatres were closed for structural testing. The photographer comments, "The University restarts its teaching, and the techies in e-learning move out of NZi3. Students leave a lecture tent".

Images, UC QuakeStudies

A photograph of the earthquake damage to the Canterbury Provincial Chambers on Durham Street. The top of the chamber has crumbled, and the masonry has fallen onto the footpath. Scaffolding which was erected after the 4 September 2010 earthquake has also fallen.

Images, UC QuakeStudies

A photograph of the repaired Kaiapoi River footbridge, also known as Mandeville Bridge. This photograph was modelled off an image taken by a staff member from the Department of Civil and Natural Resources Engineering at the University of Canterbury in September 2010.

Images, UC QuakeStudies

A photograph looking south-west along Williams Street, from the Williams Street bridge, in Kaiapoi. In the distance is the rebuilt Blackwell's Department Store. The department store was rebuilt after the previous building was damaged in the 2010 and 2011 Canterbury earthquakes.

Images, UC QuakeStudies

A photograph of the earthquake damage to the Canterbury Provincial Chambers on Durham Street. The top of the chamber has crumbled, and the masonry has fallen onto the footpath. Scaffolding which was erected after the 4 September 2010 earthquake has also fallen.

Articles, UC QuakeStudies

A copy of Stars in a Cluster, a book by the Department of Physics and Astronomy at the University of Canterbury. The book was published in 1996 and edited by W. Tobin and G.M. Evans. This PDF version was created in 2014.

Images, UC QuakeStudies

Members of the University of Canterbury's E-Learning team meet at a staff member's home on Wairakei Road. The photographer comments, "E-Learning and Library staff plan for a return to UC. L-R Heather Jenks, Alison McIntyre, Susan Tull, Jess Hollis".

Research papers, University of Canterbury Library

This study explicitly investigates uncertainties in physics-based ground motion simulation validation for earthquakes in the Canterbury region. The simulations utilise the Graves and Pitarka (2015) hybrid methodology, with separately quantified parametric uncertainties in the comprehensive physics and simplified physics components of the model. The study is limited to the simulation of 148 small magnitude (Mw 3.5 – 5) earthquakes, with a point source approximation for the source rupture representations, which also enables a focus on a small number of relevant uncertainties. The parametric uncertainties under consideration were selected through sensitivity analysis, and specifically include: magnitude, Brune stress parameter and high frequency rupture velocity. Twenty Monte Carlo realisations were used to sample parameter uncertainties for each of the 148 events. Residuals associated with the following intensity measures: spectral acceleration, peak ground velocity, arias intensity and significant duration, were ascertained. Using these residuals, validation was performed through assessment of systematic biases in site and source terms from mixed-effects regression. Based on the results to date, initial standard deviation recommendations for parameter uncertainties, based on the Canterbury simulations have been obtained. This work ultimately provides an initial step toward explicit incorporation of modelling uncertainty in simulated ground motion predictions for future events, which will improve the use of simulation models in seismic hazard analysis. We plan to subsequently assess uncertainties for larger magnitude events with more complex ruptures, and events across a larger geographic region, as well as uncertainties due to path attenuation, site effects, and more general model epistemic uncertainties.