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Research papers, University of Canterbury Library

Detailed studies on the sediment budget may reveal valuable insights into the successive build-up of the Canterbury Plains and their modification by Holocene fluvialaction connected to major braided rivers. Additionally, they bear implications beyond these fluvial aspects. Palaeoseismological studies claim to have detected signals of major Alpine Fault earthquakes in coastal environments along the eastern seaboard of the South Island (McFadgen and Goff, 2005). This requires high connectivity between the lower reaches of major braided rivers and their mountain catchments to generate immediate significant sediment pulses. It would be contradictory to the above mentioned hypothesis though. Obtaining better control on sediment budgets of braided rivers like the Waimakariri River will finally add significant value to multiple scientific and applied topics like regional resource management. An essential first step of sediment budget studies Is to systematically map the geomorphology, conventionally in the field and/or using remote-sensing applications, to localise, genetically identify, and classify landforms or entire toposequences of the area being investigated. In formerly glaciated mountain environments it is also indispensable to obtain all available chronological information supporting subsequent investigations.

Research papers, Lincoln University

Prior to the devastating 2010 and 2011 earthquakes, parts of the CBD of Christchurch, New Zealand were undergoing revitalisation incorporating aspects of adaptive reuse and gentrification. Such areas were often characterised by a variety of bars, restaurants, and retail outlets of an “alternative” or “bohemian” style. These early 20th century buildings also exhibited relatively low rents and a somewhat chaotic and loosely planned property development approach by small scale developers. Almost all of these buildings were demolished following the earthquakes and a cordon placed around the CBD for several years. A paper presented at the ERES conference in 2013 presented preliminary results, from observation of post-earthquake public meetings and interviews with displaced CBD retailers. This paper highlighted a strongly held fear that the rebuild of the central city, then about to begin, would result in a very different style and cost structure from that which previously existed. As a result, permanent exclusion from the CBD of the types of businesses that previously characterised the successfully revitalised areas would occur. Five years further on, new CBD retail and office buildings have been constructed, but large areas of land between them remain vacant and the new buildings completed are often having difficulty attracting tenants. This paper reports on the further development of this long-term Christchurch case study and examines if the earlier predictions of the displaced retailers are coming true, in that a new CBD that largely mimics a suburban mall in style and tenancy mix, inherently loses some of its competitive advantage?

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, University of Canterbury Library

A multi-disciplinary geo-structural-environmental engineering project funded by the Ministry of Business Innovation and Employment (MBIE) is being carried out at the University of Canterbury. The project aims at developing an eco-friendly seismic isolation foundation system which will improve the seismic performance of medium-density low-rise buildings. Such system is characterized by two main elements: 1) granulated scrap rubber mixed with gravelly soils to be placed beneath the structure, with the goal damping part of the seismic energy before it reaches the superstructure; and 2) a basement raft made of steel-fibre reinforced rubberised concrete (SFRRuC) to enhance the flexibility and toughness of the foundation, looking at better accommodating the displacement demand. In this paper, the main objectives, scope and methodology of the project will be briefly described. A literature review of the engineering properties of steel-fibre reinforced rubberised concrete (RuC) will be presented. Then, preliminary results on concrete mixes with different rubber and steel fibres content will be exhibited.

Research papers, University of Canterbury Library

After a high-intensity seismic event, inspections of structural damages need to be carried out as soon as possible in order to optimize the emergency management, as well as improving the recovery time. In the current practice, damage inspections are performed by an experienced engineer, who physically inspect the structures. This way of doing not only requires a significant amount of time and high skilled human resources, but also raises the concern about the inspector’s safety. A promising alternative is represented using new technologies, such as drones and artificial intelligence, which can perform part of the damage classification task. In fact, drones can safely access high hazard components of the structures: for instance, bridge piers or abutments, and perform the reconnaissance by using highresolution cameras. Furthermore, images can be automatically processed by machine learning algorithms, and damages detected. In this paper, the possibility of applying such technologies for inspecting New Zealand bridges is explored. Firstly, a machine-learning model for damage detection by performing image analysis is presented. Specifically, the algorithm was trained to recognize cracks in concrete members. A sensitivity analysis was carried out to evaluate the algorithm accuracy by using database images. Depending on the confidence level desired,i.e. by allowing a manual classification where the alghortim confidence is below a specific tolerance, the accuracy was found reaching up to 84.7%. In the second part, the model is applied to detect the damage observed on the Anzac Bridge (GPS coordinates -43.500865, 172.701138) in Christchurch by performing a drone reconnaissance. Reults show that the accuracy of the damage detection was equal to 88% and 63% for cracking and spalling, respectively.