he 2016 Building (Earthquake Prone Building) Amendment Act aims to improve the system for managing earthquake-prone buildings. The proposed changes to the Act were precipitated by the Canterbury earthquakes, and the need to improve the seismic safety of New Zealand’s building stock. However, the Act has significant ramifications for territorial authorities, organisations and individuals in small New Zealand towns, since assessing and repairing heritage buildings poses a major cost to districts with low populations and poor rental returns on commercial buildings.
Many buildings with relatively low damage from the 2010-2011 Canterbury were deemed uneconomic to repair and were replaced [1,2]. Factors that affected commercial building owners’ decisions to replace rather than repair, included capital availability, uncertainty with regards to regional recovery, local market conditions and ability to generate cash flow, and repair delays due to limited property access (cordon). This poster provides a framework for modeling decision-making in a case where repair is feasible but replacement might offer greater economic value – a situation not currently modeled in engineering risk analysis.
Worldwide turbidity is a huge concern for the health of aquatic ecosystems. Human activities on the land such as construction, deforestation, agriculture, and mining all have impacts on the amount of particulate solids that enter the world’s waterways. These particulate solids can pose a number of risks to aquatic life, but primary among them is the turbidity that they create in the water column. The way suspended solids interact with light creates cloudiness in the water which interferes with the vision, and visually mediated behaviours of aquatic organisms, particularly fish. The Avon-Heathcote estuary of Christchurch, New Zealand, is one such body of water that is subject to tremendous variation in turbidity, no doubt exacerbated by the destruction of Christchurch in the 2010 and 2011 earthquakes, as well as the subsequent ongoing rebuild. The yellow eyed mullet, Aldrichetta Forsteri, is one species that is common with the estuary, and uses it as a habitat for breeding. Though very common throughout New Zealand, and even a part of the catch of commercial fisheries, the yellow eyed mullet is a largely unstudied organism, with virtually no published scientific enquiry based on the species. The present work assesses how several behaviours of the yellow eyed mullet are effected by acute turbidity at 10, 50, 90, 130 and 170 NTU, finding that: 1) The optomotor response of mullet to 2.5 mm stripes drops to insignificant levels between 10 and 50 NTU, 2) The swimming activity of the yellow eyed mullet is highest at 10 NTU and drops to a significantly lower level at higher turbidities, 3) The grouping behaviour of small groups of yellow eyed mullet are unchanged by increasing turbidity levels, 4) that yellow eyed mullet do not exhibit significantly different behavioural response to a simulated predator at any of the tested turbidities, and 5) that yellow eyed mullet to do significantly alter their oxygen consumption during exposure to the turbidities in an increasing series. The results presented in these studies indicate that turbidites above 50 NTU pose a significant risk to the lifestyle of the yellow eyed mullet, potentially impacting their ability to perceive their surroundings, feed, school, and avoid predation. Future work has a lot of ground to cover to more precisely determine the relationship between yellow eyed mullet behaviour and physiology, and the turbidity of their environment. In particular, future work should focus more closely on the turbidities between 10 and 50 NTU, as well as looking to field work to see what the predominant predators of the mullet are, and specifically whether turbidity increases or decreases the risk of mullet being subject to avian predation. There is also considerable scope for studies on the effects of chronic turbidity upon mullet, which will add understand to the predicament of escalating turbidity and its effects upon this common and yet mysterious native fish.
Between 2010 and 2011, Canterbury experienced a series of four large earthquake events with associated aftershocks which caused widespread damage to residential and commercial infrastructure. Fine grained and uncompacted alluvial soils, typical to the Canterbury outwash plains, were exposed to high peak ground acceleration (PGA) during these events. This rapid increase in PGA induced cyclic strain softening and liquefaction in the saturated, near surface alluvial soils. Extensive research into understanding the response of soils in Canterbury to dynamic loading has since occurred. The Earthquake Commission (EQC), the Ministry of Business and Employment (MBIE), and the Christchurch City Council (CCC) have quantified the potential hazards associated with future seismic events. Theses bodies have tested numerous ground improvement design methods, and subsequently are at the forefront of the Canterbury recovery and rebuild process. Deep Soil Mixing (DSM) has been proven as a viable ground improvement foundation method used to enhance in situ soils by increasing stiffness and positively altering in situ soil characteristics. However, current industry practice for confirming the effectiveness of the DSM method involves specific laboratory and absolute soil test methods associated with the mixed column element itself. Currently, the response of the soil around the columns to DSM installation is poorly understood. This research aims to understand and quantify the effects of DSM columns on near surface alluvial soils between the DSM columns though the implementation of standardised empirical soil test methods. These soil strength properties and ground improvement changes have been investigated using shear wave velocity (Vs), soil behaviour and density response methods. The results of the three different empirical tests indicated a consistent improvement within the ground around the DSM columns in sandier soils. By contrast, cohesive silty soils portrayed less of a consistent response to DSM, although still recorded increases. Generally, within the tests completed 50 mm from the column edge, the soil response indicated a deterioration to DSM. This is likely to be a result of the destruction of the soil fabric as the stress and strain of DSM is applied to the un‐mixed in situ soils. The results suggest that during the installation of DSM columns, a positive ground effect occurs in a similar way to other methods of ground improvement. However, further research, including additional testing following this empirical method, laboratory testing and finite 2D and 3D modelling, would be useful to quantify, in detail, how in situ soils respond and how practitioners should consider these test results in their designs. This thesis begins to evaluate how alluvial soils tend to respond to DSM. Conducting more testing on the research site, on other sites in Christchurch, and around the world, would provide a more complete data set to confirm the results of this research and enable further evaluation. Completing this additional research could help geotechnical DSM practitioners to use standardised empirical test methods to measure and confirm ground improvement rather than using existing test methods in future DSM projects. Further, demonstrating the effectiveness of empirical test methods in a DSM context is likely to enable more cost effective and efficient testing of DSM columns in future geotechnical projects.
