- Infrastructure Engineering - Research Publications
Infrastructure Engineering - Research Publications
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1 - 10 of 2067
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ItemNo Preview AvailableAutomating property valuation at the macro scale of suburban level: A multi-step method based on spatial imputation techniques, machine learning and deep learningJafary, P ; Shojaei, D ; Rajabifard, A ; Ngo, T (Elsevier BV, 2024-06-01)
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ItemNo Preview AvailableNumerical investigation on the behaviour of concrete barriers subjected to vehicle impacts using modified K&C material modelKarunarathna, S ; Linforth, S ; Kashani, A ; Liu, X ; Ngo, T (Elsevier BV, 2024-06-01)
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ItemNo Preview AvailableNonlinear analysis and design of high-strength concrete filled steel tubular columns under nonuniform firesLama, L ; Gernay, T ; Thai, HT ; Ngo, T ; Uy, B (Elsevier BV, 2024-06-01)
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ItemNo Preview AvailableIncorporation of reduced graphene oxide in waste-based concrete including lead smelter slag and recycled coarse aggregateValizadeh Kiamahalleh, M ; Gholampour, A ; Tang, Y ; Ngo, TD (Elsevier BV, 2024-07-01)
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ItemNo Preview AvailableEffect of hybrid fibres on mechanical behaviour of magnesium oxychloride cement-based compositesAhmad, F ; Rawat, S ; Yang, R ; Zhang, L ; Guo, Y ; Fanna, DJ ; Zhang, YX (Elsevier BV, 2024-04-19)
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ItemNo Preview AvailableA systematic review of climate change science relevant to Australian design flood estimationWasko, C ; Westra, S ; Nathan, R ; Pepler, A ; Raupach, TH ; Dowdy, A ; Johnson, F ; Ho, M ; McInnes, KL ; Jakob, D ; Evans, J ; Villarini, G ; Fowler, HJ (COPERNICUS GESELLSCHAFT MBH, 2024-03-15)Abstract. In response to flood risk, design flood estimation is a cornerstone of planning, infrastructure design, setting of insurance premiums, and emergency response planning. Under stationary assumptions, flood guidance and the methods used in design flood estimation are firmly established in practice and mature in their theoretical foundations, but under climate change, guidance is still in its infancy. Human-caused climate change is influencing factors that contribute to flood risk such as rainfall extremes and soil moisture, and there is a need for updated flood guidance. However, a barrier to updating flood guidance is the translation of the science into practical application. For example, most science pertaining to historical changes to flood risk focuses on examining trends in annual maximum flood events or the application of non-stationary flood frequency analysis. Although this science is valuable, in practice, design flood estimation focuses on exceedance probabilities much rarer than annual maximum events, such as the 1 % annual exceedance probability event or even rarer, using rainfall-based procedures, at locations where there are few to no observations of streamflow. Here, we perform a systematic review to summarize the state-of-the-art understanding of the impact of climate change on design flood estimation in the Australian context, while also drawing on international literature. In addition, a meta-analysis, whereby results from multiple studies are combined, is conducted for extreme rainfall to provide quantitative estimates of possible future changes. This information is described in the context of contemporary design flood estimation practice to facilitate the inclusion of climate science into design flood estimation practice.
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ItemNo Preview AvailablePyraingen: A python package for constrained continuous rainfall generationDykman, C ; Sharma, A ; Wasko, C ; Nathan, R (Elsevier BV, 2024-04-01)
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ItemNo Preview AvailableNovel hierarchical bioinspired cellular structures with enhanced energy absorption under uniaxial compressionKhoa, ND ; Bohara, RP ; Ghazlan, A ; Thai, T ; Ngo, T (Elsevier BV, 2024-04-01)
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ItemNo Preview AvailableEffects of inertia on fluid flow in fractured rock masses: A comprehensive reviewHansika, H ; Perera, MSA ; Matthai, SK (ELSEVIER, 2024-03)
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ItemNo Preview AvailableA framework for low-carbon mix design of recycled aggregate concrete with supplementary cementitious materials using machine learning and optimization algorithmsGolafshani, EM ; Behnood, A ; Kim, T ; Ngo, T ; Kashani, A (Elsevier BV, 2024-03-01)