Infrastructure Engineering - Research Publications

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Now showing 1 - 10 of 1422
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    Dynamic motion analysis of stepless and stepped planing hulls in random waves: A CFD model perspective
    Bilandi, RN ; Tavakoli, S ; Mancini, S ; Dashtimanesh, A (Elsevier, 2024-08-01)
    Predicting the dynamic responses of planing hulls in real sea conditions is important for identifying how basic design factors influence their seakeeping performance. Hence, there is a pressing need to provide high-fidelity models for predicting the motions of these hulls in random waves, representing actual seas. In this article, a computational-based model for solving viscous fluid flow around the vessel is built to address this problem. Three different planing hulls, denoted as C, C1, and C2, each distinguished by the number of steps incorporated on their bottom surfaces (1 and 2 indicating the respective step count, with case C being the stepless hull), are modeled in a Computational Fluid Dynamics (CFD) tank, allowing for analysis of the effects of steps on dynamic responses of a planing surface operating in random waves. CFD data is compared against those collected in towing tank tests, revealing a satisfactory level of accuracy. Extreme value and gamma distributions are shown to give probabilities of maxima/minima of displacements and vertical acceleration at the center of gravity (CG) for all three hulls. It is shown that the stepless boat may be exposed to lower vertical acceleration at an early planing speed, but at higher planing speeds, a double-stepped design mitigates the vertical acceleration. Nevertheless, the double-stepped hull would experience more significant extreme heave responses across all speeds and may be exposed to less significant extreme pitch responses during the ride at the highest speed compared to the stepless and one-stepped hulls. The skewness of heave and pitch is evaluated, and it is found that the heave response tends to skew toward positive values (upward). This skewness becomes more noticeable with increasing speed but remains insensitive to wave steepness. Additionally, the pitch response at lower planing speeds shows a partial skew towards negative values (bow-down), but eventually, they may also be partially skewed towards positive values at higher speeds. Moreover, a correlation is observed between the kurtosis of responses of different hulls and the occurrence of the 1/100 highest responses, indicating that a kurtosis greater than 3.0 would result in more extreme responses. Overall, this analysis offers practical insights into planing hull behavior in actual sea conditions from a CFD model perspective, highlighting the potential of CFD in simulating this complex problem.
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    Numerical investigation on the behaviour of concrete barriers subjected to vehicle impacts using modified K&C material model
    Karunarathna, S ; Linforth, S ; Kashani, A ; Liu, X ; Ngo, T (Elsevier BV, 2024-06-01)
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    Nonlinear analysis and design of high-strength concrete filled steel tubular columns under nonuniform fires
    Lama, L ; Gernay, T ; Thai, HT ; Ngo, T ; Uy, B (Elsevier BV, 2024-06-01)
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    Incorporation of reduced graphene oxide in waste-based concrete including lead smelter slag and recycled coarse aggregate
    Valizadeh Kiamahalleh, M ; Gholampour, A ; Tang, Y ; Ngo, TD (Elsevier BV, 2024-07-01)
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    Effect of hybrid fibres on mechanical behaviour of magnesium oxychloride cement-based composites
    Ahmad, F ; Rawat, S ; Yang, R ; Zhang, L ; Guo, Y ; Fanna, DJ ; Zhang, YX (Elsevier BV, 2024-04-19)
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    A systematic review of climate change science relevant to Australian design flood estimation
    Wasko, 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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    Pyraingen: A python package for constrained continuous rainfall generation
    Dykman, C ; Sharma, A ; Wasko, C ; Nathan, R (Elsevier BV, 2024-04-01)
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    Novel hierarchical bioinspired cellular structures with enhanced energy absorption under uniaxial compression
    Khoa, ND ; Bohara, RP ; Ghazlan, A ; Thai, T ; Ngo, T (Elsevier BV, 2024-04-01)
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    Effects of inertia on fluid flow in fractured rock masses: A comprehensive review
    Hansika, H ; Perera, MSA ; Matthai, SK (ELSEVIER, 2024-03)