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Faculty of Engineering and Information Sciences - Papers: Part A

Model

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Full-Text Articles in Social and Behavioral Sciences

Development Of A Dynamic Model For A Hybrid Photovoltaic Thermal Collector - Solar Air Heater With Fins, Wenke Fan, Georgios Kokogiannakis, Zhenjun Ma, Paul Cooper Jan 2017

Development Of A Dynamic Model For A Hybrid Photovoltaic Thermal Collector - Solar Air Heater With Fins, Wenke Fan, Georgios Kokogiannakis, Zhenjun Ma, Paul Cooper

Faculty of Engineering and Information Sciences - Papers: Part A

A dynamic model for a hybrid Photovoltaic Thermal Collector-Solar Air Heater (PVT-SAH) with longitudinal fins was developed to enable assessment of the potential of the system to provide high temperature outlet air (60-90 °C) under dynamic boundary conditions. The model description includes the method for discretising the system into a number of control volumes, the energy balance equations for each control volume and the implementation of the numerical solution. Model validation has been successfully undertaken by using empirical verification of model predictions with an experimental facility and by comparing the model outputs with the reference data from the literature. The ...


Model-Based Optimization Of Ground Source Heat Pump Systems, Zhenjun Ma, Lei Xia Jan 2017

Model-Based Optimization Of Ground Source Heat Pump Systems, Zhenjun Ma, Lei Xia

Faculty of Engineering and Information Sciences - Papers: Part A

This paper presents the development of an optimization strategy for ground source heat pump (GSHP) systems equipped with variable speed pumps in the ground loop system. The optimization problem is formulated using a model-based approach, in which the component models are used to estimate the system performance under various trial settings and an exhaustive search method is used to identify the optimal settings under the search ranges defined. The variable optimized is the outlet water temperature from the ground heat exchangers, which can be used as a set-point to control the operation of the variable speed pumps in the ground ...


Hybrid Model Predictive Control Of A Residential Hvac System With On-Site Thermal Energy Generation And Storage, Massimo Fiorentini, Josh Wall, Zhenjun Ma, Julio H. Braslavsky, Paul Cooper Jan 2017

Hybrid Model Predictive Control Of A Residential Hvac System With On-Site Thermal Energy Generation And Storage, Massimo Fiorentini, Josh Wall, Zhenjun Ma, Julio H. Braslavsky, Paul Cooper

Faculty of Engineering and Information Sciences - Papers: Part A

This paper describes the development, implementation and experimental investigation of a Hybrid Model Predictive Control (HMPC) strategy to control solar-assisted heating, ventilation and air-conditioning (HVAC) systems with on-site thermal energy generation and storage. A comprehensive approach to the thermal energy management of a residential building is presented to optimise the scheduling of the available thermal energy resources to meet a comfort objective. The system has a hybrid nature with both continuous variables and discrete, logic-driven operating modes. The proposed control strategy is organized in two hierarchical levels. At the high-level, an HMPC controller with a 24-h prediction horizon and a ...


Building A Microsimulation Model Of Heroin Use Careers In Australia, Alison Ritter, Nagesh Shukla, Marian D. Shanahan, Van Hoang Phuong, Vu Lam Cao, Pascal Perez, Michael P. Farrell Jan 2016

Building A Microsimulation Model Of Heroin Use Careers In Australia, Alison Ritter, Nagesh Shukla, Marian D. Shanahan, Van Hoang Phuong, Vu Lam Cao, Pascal Perez, Michael P. Farrell

Faculty of Engineering and Information Sciences - Papers: Part A

Illicit heroin use is a worldwide problem, with significant health and social costs. Treatment is known to be effective in changing heroin use habits, but it often needs to be provided over a lifetime, with people cycling in and out of treatment. It is therefore important to capture a long-term perspective on heroin use careers. The aim of this project was to build a lifetime microsimulation model of heroin using careers. This paper describes the conceptual logic of the model, the input parameters and the verification and validation results. A microsimulation model was chosen as the most appropriate simulation platform ...


A Data-Driven Predictive Model For Residential Mobility In Australia - A Generalised Linear Mixed Model For Repeated Measured Binary Data, Mohammad-Reza Namazi-Rad, Payam Mokhtarian, Nagesh Shukla, Albert Munoz Jan 2016

A Data-Driven Predictive Model For Residential Mobility In Australia - A Generalised Linear Mixed Model For Repeated Measured Binary Data, Mohammad-Reza Namazi-Rad, Payam Mokhtarian, Nagesh Shukla, Albert Munoz

Faculty of Engineering and Information Sciences - Papers: Part A

Household relocation modelling is an integral part of the Government planning process as residential movements influence the demand for community facilities and services. This study will address the problem of modelling residential relocation choice by estimating a logit-link class model. The proposed model estimates the probability of an event which triggers household relocation. The attributes considered in this study are: requirement for bedrooms, employment status, income status, household characteristics, and tenure (i.e. duration living at the current location). Accurate prediction of household relocations for population units should rely on real world observations. In this study, a longitudinal survey data ...


A Local Field Correlated And Monte Carlo Based Shallow Neural Network Model For Non-Linear Time Series Prediction, Qingguo Zhou, Huaming Chen, Hong Zhao, Gaofeng Zhang, Jianming Yong, Jun Shen Jan 2016

A Local Field Correlated And Monte Carlo Based Shallow Neural Network Model For Non-Linear Time Series Prediction, Qingguo Zhou, Huaming Chen, Hong Zhao, Gaofeng Zhang, Jianming Yong, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part A

Water resource problems currently are much more important in proper planning especially for arid regions, such as Gansu in China. For agricultural and industrial activities, prediction of groundwater status is critical. As a main branch of neural network, shallow artificial neural network models have been deployed in prediction areas such as groundwater and rainfall since late 1980s. In this paper, artificial neural network (ANN) model within a newly proposed algorithm has been developed for groundwater status forecasting. Having considered previous algorithms for ANN model in time series forecast, this new Monte Carlo based algorithm demonstrated a good result. The experiments ...


Design-Oriented Stress–Strain Model For Concrete Under Combined Frp-Steel Confinement, G Lin, Tao Yu, Jin Guang Teng Jan 2016

Design-Oriented Stress–Strain Model For Concrete Under Combined Frp-Steel Confinement, G Lin, Tao Yu, Jin Guang Teng

Faculty of Engineering and Information Sciences - Papers: Part A

Extensive research has been conducted on fiber-reinforced polymer (FRP)-confined plain and RC columns, leading to a large number of stress–strain models. Most of these models have been developed for FRP-confined plain concrete and are thus applicable only to concrete in FRP-confined RC columns with a negligible amount of transverse steel reinforcement. The few models that have been developed for concrete under the combined confinement of FRP and transverse steel reinforcement are either inaccurate or too complex for direct use in design. This paper presents an accurate design-oriented stress–strain model for concrete under combined FRP-steel confinement in FRP-confined ...


Analytic Performance Model For State-Based Mac Layer Cooperative Retransmission Protocols, Brett Hagelstein, Mehran Abolhasan, Daniel R. Franklin, Farzad Safaei, Wei Ni Jan 2016

Analytic Performance Model For State-Based Mac Layer Cooperative Retransmission Protocols, Brett Hagelstein, Mehran Abolhasan, Daniel R. Franklin, Farzad Safaei, Wei Ni

Faculty of Engineering and Information Sciences - Papers: Part A

Cooperative retransmission can significantly improve link reliability over lossy and time-varying wireless links. However, comparing retransmission protocols is challenging, and generally requires simplistic assumptions specific to each protocol. In this paper, we develop a general model to evaluate cooperative retransmission protocols with distributed, slot-based contention algorithms. Specifically, we propose to calculate the relay time-out probabilities at a MAC time-slot scale, formulate retransmission outcomes as functions of the time-out probabilities, and derive the probability of a retransmission process for every data frame. We also propose a Markov extension of our model to characterise the dependency between retransmissions of multiple frames. This ...


Microstructure And Micro-Texture Evolution During The Dynamic Recrystallisation Of A Ni-30fe-Nb-C Model Alloy, Parvez Mannan, Ahmed A. Saleh, Azdiar A. Gazder, Gilberto Casillas, Elena V. Pereloma Jan 2016

Microstructure And Micro-Texture Evolution During The Dynamic Recrystallisation Of A Ni-30fe-Nb-C Model Alloy, Parvez Mannan, Ahmed A. Saleh, Azdiar A. Gazder, Gilberto Casillas, Elena V. Pereloma

Faculty of Engineering and Information Sciences - Papers: Part A

The evolution of microstructure and micro-texture during discontinuous dynamic recrystallisation of an austenitic Ni-30Fe-Nb-C model alloy subjected to interrupted plane strain compression at strains (ε) of 0.23, 0.35, 0.68, 0.85 and 1.2 was investigated using electron backscattering diffraction and transmission electron microscopy. Throughout the strain range, the majority of dynamic recrystallisation events comprised nucleation in necklace-like arrangements located at and along grain boundaries via bulging. At ε ≥ 0.68, discrete nucleation events were also observed within grain interiors. Grain growth during dynamic recrystallisation is characteristic of strain induced boundary migration. The initial texture comprised Cube-RD ...


A New Micro Scale Fe Model Of Crystalline Materials In Micro Forming Process, Liang Luo, Haibo Xie, Dongbin Wei, Xiaogang Wang, Cunlong Zhou, Zhengyi Jiang Jan 2016

A New Micro Scale Fe Model Of Crystalline Materials In Micro Forming Process, Liang Luo, Haibo Xie, Dongbin Wei, Xiaogang Wang, Cunlong Zhou, Zhengyi Jiang

Faculty of Engineering and Information Sciences - Papers: Part A

Micro forming of metals has drawn global attention due to the increasing requirement of micro metal products. However, the size effects become significant in micro forming processes and affect the application of finite element (FE) simulation of micro forming processes. Dividing samples into small areas according to their microstructures and assigning individual properties to each small area are a possible access to micro forming simulation considering material size effects. In this study, a new model that includes both grains and their boundaries was developed based on the observed microstructures of samples. The divided subareas in the model have exact shapes ...


A Conceptual Model For The Application Of Business Analytics In The Horizontal Strategic Alliance, John Janosko, Tingru Cui, S K. Lau Jan 2016

A Conceptual Model For The Application Of Business Analytics In The Horizontal Strategic Alliance, John Janosko, Tingru Cui, S K. Lau

Faculty of Engineering and Information Sciences - Papers: Part A

The formation of strategic alliances amongst organisations has grown in recent years as globalisation has opened new markets for firms to pursue. It is of ever-increasing importance that organisations have a thorough understanding of the performance of their alliance to achieve competitive advantage. However, much research on strategic alliance has focused on examining the organisations within the alliance rather than focusing on the alliance itself. Using the new discipline of business analytics, this paper proposes a hierarchical model blending the functional roles of business analytics with data standardisation and context mediation frameworks to allow business analytics to be applied to ...


Grain Size Effect Of Thickness/Average Grain Size On Mechanical Behaviour, Fracture Mechanism And Constitutive Model For Phosphor Bronze Foil, Zhi Fang, Zhengyi Jiang, Xiaogang Wang, Cunlong Zhou, Dongbin Wei, Xianghua Liu Jan 2015

Grain Size Effect Of Thickness/Average Grain Size On Mechanical Behaviour, Fracture Mechanism And Constitutive Model For Phosphor Bronze Foil, Zhi Fang, Zhengyi Jiang, Xiaogang Wang, Cunlong Zhou, Dongbin Wei, Xianghua Liu

Faculty of Engineering and Information Sciences - Papers: Part A

Size effects play a significant role in microforming process, and any dimensional change can have a great impact on materials' mechanical properties. In this paper, the size effects on deformation behaviour and fracture of phosphor foil were investigated in the form of grain size effect: the ratio of materials' thickness (T) to average grain size (D) by micro tensile tests. The ratio was designed to be closed to but larger than, less than and equal to 1, respectively. The results show that the amount of plastic deformation decreases with the decrease of the ratio of T/D, which indicates that ...


High Temperature Dislocation Structure And Nbc Precipitation In Three Ni-Fe-Nb-C Model Alloys, Andrii Kostryzhev, Parvez Mannan, Olexandra Marenych Jan 2015

High Temperature Dislocation Structure And Nbc Precipitation In Three Ni-Fe-Nb-C Model Alloys, Andrii Kostryzhev, Parvez Mannan, Olexandra Marenych

Faculty of Engineering and Information Sciences - Papers: Part A

In this original work, the dislocation structure and NbC precipitation were investigated in three Ni-based alloys (70Ni-Fe-0.331Nb-0.040C, 70Ni-Fe-0.851Nb-0.114C and 70Ni-Fe-1.420Nb-0.157C, wt%) thermomechanically processed in the temperature range of 1250-1075 °C. The dislocation structure inhomogeneity (dislocation networks and cell walls), which we observed in the middle and high Nb+C alloys, resulted from the dislocation pile-ups in the vicinity of >200 nm NbC particles. The dislocation density around >200 nm particles exceeded the average values by 5-7 times, and that in the cell walls might exceed the average values by 10 times. Twins and stacking ...


Analysis Of A Chemostat Model With Variable Yield Coefficient And Substrate Inhibition: Contois Growth Kinetics, Rubayyi Turki Alqahtani, Mark I. Nelson, Annette L. Worthy Jan 2015

Analysis Of A Chemostat Model With Variable Yield Coefficient And Substrate Inhibition: Contois Growth Kinetics, Rubayyi Turki Alqahtani, Mark I. Nelson, Annette L. Worthy

Faculty of Engineering and Information Sciences - Papers: Part A

2015, Copyright Taylor & Francis Group, LLC. We analyze the steady-state operation of a generalized reactor model that encompasses a continuous flow bioreactor and an idealized continuous flow membrane reactor as limiting cases. The biochemical reaction kinetics is governed by a Contois growth model subject to noncompetitive substrate inhibition with a variable substrate yield coefficient. The steady-state performance of the reactor is predicted and stability of the steady-state solutions as a function of dimensionless residence time reported. Our results identified two cases of practical interest. The first feature corresponds to the case where solutions to both no-washout and washout conditions are ...


A Distributed Broadcast Algorithm For Duty-Cycled Networks With Physical Interference Model, Dianbo Zhao, Kwan-Wu Chin Jan 2015

A Distributed Broadcast Algorithm For Duty-Cycled Networks With Physical Interference Model, Dianbo Zhao, Kwan-Wu Chin

Faculty of Engineering and Information Sciences - Papers: Part A

Broadcast is a fundamental operation in multi-hop wireless networks. Given a source node with a message to broadcast, the objective is to propagate the message to all nodes in an interferencefree manner while incurring minimum latency. This problem, called Minimum-Latency Broadcast Scheduling (MLBS), has been studied extensively in wireless networks whereby nodes remain on all times and has been shown to be NP-hard. However, only a few studies have addressed this problem in the context of duty-cycled wireless networks, which unfortunately, remains NP-hard. In these networks, nodes do not wake up simultaneously, and hence, not all neighbors of a transmitting ...


Simulink Model For Examining Dynamic Interactions Involving Electro-Mechanical Oscillations In Distribution Systems, Dothinka Ranamuka Rallage, Ashish P. Agalgaonkar, Kashem M. Muttaqi Jan 2015

Simulink Model For Examining Dynamic Interactions Involving Electro-Mechanical Oscillations In Distribution Systems, Dothinka Ranamuka Rallage, Ashish P. Agalgaonkar, Kashem M. Muttaqi

Faculty of Engineering and Information Sciences - Papers: Part A

In Australian medium voltage (MV) distribution networks, the majority of embedded local generation (LG) uses synchronous machine based technology. LG units with a synchronous generator can easily be dispatched and controlled to provide or absorb reactive power and thereby locally supporting the system voltage and increasing the voltage stability margin. The fast response from a synchronous machine based LG unit exciter will ensure fast voltage recovery. This will significantly improve the transient voltage stability. Also, the synchronous machine based LG units can provide inertial support to the system. Furthermore, some of these LG technologies work as standby power supplies all ...


Multi-Phase Variety Trials Using Both Composite And Individual Replicate Samples: A Model-Based Design Approach, Alison B. Smith, David G. Butler, C R. Cavanagh, Brian R. Cullis Jan 2015

Multi-Phase Variety Trials Using Both Composite And Individual Replicate Samples: A Model-Based Design Approach, Alison B. Smith, David G. Butler, C R. Cavanagh, Brian R. Cullis

Faculty of Engineering and Information Sciences - Papers: Part A

The present paper provides an approach for the design and analysis of variety trials that are used to obtain quality trait data. These trials are multi-phase in nature, comprising a field phase followed by one or more laboratory phases. Typically the laboratory phases are costly relative to the field phase and this imposes a limit on the number of samples that can be tested. Historically, this has been achieved by sacrificing field replication, either by testing a single replicate plot for each variety or a single composite sample, obtained by combining material from several field replicates. An efficient statistical analysis ...


Vivambc: Estimating Viral Sequence Variation In Complex Populations From Illumina Deep-Sequencing Data Using Model-Based Clustering, Bie M. P Verbist, Lieven Clement, Joke Reumers, Kim Thys, Alexander Vapirev, Willem Talloen, Yves Wetzels, Joris Meys, Jeroen Aerssens, Luc Bijnens, Olivier Thas Jan 2015

Vivambc: Estimating Viral Sequence Variation In Complex Populations From Illumina Deep-Sequencing Data Using Model-Based Clustering, Bie M. P Verbist, Lieven Clement, Joke Reumers, Kim Thys, Alexander Vapirev, Willem Talloen, Yves Wetzels, Joris Meys, Jeroen Aerssens, Luc Bijnens, Olivier Thas

Faculty of Engineering and Information Sciences - Papers: Part A

Background: Deep-sequencing allows for an in-depth characterization of sequence variation in complex populations. However, technology associated errors may impede a powerful assessment of low-frequency mutations. Fortunately, base calls are complemented with quality scores which are derived from a quadruplet of intensities, one channel for each nucleotide type for Illumina sequencing. The highest intensity of the four channels determines the base that is called. Mismatch bases can often be corrected by the second best base, i.e. the base with the second highest intensity in the quadruplet. A virus variant model-based clustering method, ViVaMBC, is presented that explores quality scores and ...


In-Arrears Interest Rate Derivatives Under The 3/2 Model, Joanna M. Goard Jan 2015

In-Arrears Interest Rate Derivatives Under The 3/2 Model, Joanna M. Goard

Faculty of Engineering and Information Sciences - Papers: Part A

Lie symmetry methods are used to find a closed form solution for in-arrears swaps under the 3/2 model ( ( ) ) ˆ 3 dr = r A t −α r dt + cr 2dZ . As well, approximate solutions are found for short-tenor inarrears caplets and floorlets under the same interest rate model. Comparisons are made of the approximate option values with those obtained with a computationally-intensive numerical scheme. The approximate pricing is found to be substantially fast easy to implement, while the relative errors with respect to the “true” prices are very small.


A Semi-Analytical Analysis Of The Stability Of The Reversible Selkov Model, Khaled. Al Noufaey, Timothy R. Marchant, Maureen P. Edwards Jan 2015

A Semi-Analytical Analysis Of The Stability Of The Reversible Selkov Model, Khaled. Al Noufaey, Timothy R. Marchant, Maureen P. Edwards

Faculty of Engineering and Information Sciences - Papers: Part A

Semi-analytical solutions for the reversible Selkov model are developed and used to investigate its static and dynamic stability. A one-dimensional reaction-diffusion cell is considered with all steps of the Selkov reaction modeled. A coupled set of four partial differential equations is obtained for the precursor, reactant, autocatalyst and final product concentrations. The Galerkin method is applied to approximate the spatial structure of the concentrations to obtain a lower-order, ordinary differential equation model, as an approximation to the governing partial differential equations. The semi-analytical model is analysed to obtain steady-state solutions, bifurcation diagrams and parameter maps in which the different types ...


Model-Based Correction For Scatter And Tailing Effects In Simultaneous 99mtc And 123i Imaging For A Cdznte Cardiac Spect Camera, Maria Holstensson, Kjell Erlandsson, Gavin Poludniowski, Simona Ben-Haim, Brian F. Hutton Jan 2015

Model-Based Correction For Scatter And Tailing Effects In Simultaneous 99mtc And 123i Imaging For A Cdznte Cardiac Spect Camera, Maria Holstensson, Kjell Erlandsson, Gavin Poludniowski, Simona Ben-Haim, Brian F. Hutton

Faculty of Engineering and Information Sciences - Papers: Part A

2015 Institute of Physics and Engineering in Medicine. An advantage of semiconductor-based dedicated cardiac single photon emission computed tomography (SPECT) cameras when compared to conventional Anger cameras is superior energy resolution. This provides the potential for improved separation of the photopeaks in dual radionuclide imaging, such as combined use of 99mTc and 123I . There is, however, the added complexity of tailing effects in the detectors that must be accounted for. In this paper we present a model-based correction algorithm which extracts the useful primary counts of 99mTc and 123I from projection data. Equations describing the in-patient ...


Multi-View Twri Scene Reconstruction Using A Joint Bayesian Sparse Approximation Model, Van Ha Tang, Abdesselam Bouzerdoum, Son Lam Phung, Fok Hing Chi Tivive Jan 2015

Multi-View Twri Scene Reconstruction Using A Joint Bayesian Sparse Approximation Model, Van Ha Tang, Abdesselam Bouzerdoum, Son Lam Phung, Fok Hing Chi Tivive

Faculty of Engineering and Information Sciences - Papers: Part A

This paper addresses the problem of scene reconstruction in conjunction with wall-clutter mitigation for compressed multi-view through-the-wall radar imaging (TWRI). We consider the problem where the scene behindthe-wall is illuminated from different vantage points using a different set of frequencies at each antenna. First, a joint Bayesian sparse recovery model is employed to estimate the antenna signal coefficients simultaneously, by exploiting the sparsity and inter-signal correlations among antenna signals. Then, a subspace-projection technique is applied to suppress the signal coefficients related to the wall returns. Furthermore, a multi-task linear model is developed to relate the target coefficients to the image ...


Arcgis V.10 Landslide Susceptibility Data Mining Add-In Tool Integrating Data Mining And Gis Techniques To Model Landslide Susceptibility, Darshika Palamakumbure, David Stirling, Phillip N. Flentje, Robin N. Chowdhury Jan 2015

Arcgis V.10 Landslide Susceptibility Data Mining Add-In Tool Integrating Data Mining And Gis Techniques To Model Landslide Susceptibility, Darshika Palamakumbure, David Stirling, Phillip N. Flentje, Robin N. Chowdhury

Faculty of Engineering and Information Sciences - Papers: Part A

Landslide susceptibility modeling is an essential early step towards managing landslide risk. A minimum of $4.8 million is lost due to landslide related damages every year in Illawara region of Australia. At present, Data mining and knowledge discovery techniques are becoming popular in building landslide susceptibility models due to their enhanced predictive performances. Until now, the lack of tools to undertake data extraction and making the predictions have limited the applicability of this novel technique in landslide model building. This paper discusses the development of the LSDM (Landslide Susceptibility Data Mining) toolbar which was designed to utilize machine learning ...


Variational Inequality Model For Cordon-Based Congestion Pricing Under Side Constrained Stochastic User Equilibrium Conditions, Zhiyuan Liu, Qiang Meng, Shuaian Wang Jan 2014

Variational Inequality Model For Cordon-Based Congestion Pricing Under Side Constrained Stochastic User Equilibrium Conditions, Zhiyuan Liu, Qiang Meng, Shuaian Wang

Faculty of Engineering and Information Sciences - Papers: Part A

A major objective of the practical implemented cordon-based congestion pricing schemes is to maintain the traffic conditions within the cordon area, which is rarely considered in most of the existing studies. Thus, this paper addresses the optimal toll charge pattern that can restrict the total inbound flow of each cordon to a predetermined threshold. The toll charges on all the entry links of one cordon are required to be identical, for the ease of implementation and users' recognition. The users' route choice behaviour is assumed to follow stochastic user equilibrium (SUE) with asymmetric link travel time functions. It is shown ...


An Agent Based Model For The Simulation Of Road Traffic And Transport Demand In A Sydney Metropolitan Area, Nam N. Huynh, Vu Cao, Rohan Wickramasuriya Denagamage, Matthew Berryman, Pascal Perez, Johan Barthelemy Jan 2014

An Agent Based Model For The Simulation Of Road Traffic And Transport Demand In A Sydney Metropolitan Area, Nam N. Huynh, Vu Cao, Rohan Wickramasuriya Denagamage, Matthew Berryman, Pascal Perez, Johan Barthelemy

Faculty of Engineering and Information Sciences - Papers: Part A

No abstract provided.


Temporal And Parametric Study Of Traveller Preference Heterogeneity Using Random Parameter Logit Model, Ahm Mehbub Anwar, A Kiet Tieu, Peter Gibson, Matthew J. Berryman, Khin Than Win, Andrew Mccusker, Pascal Perez Jan 2014

Temporal And Parametric Study Of Traveller Preference Heterogeneity Using Random Parameter Logit Model, Ahm Mehbub Anwar, A Kiet Tieu, Peter Gibson, Matthew J. Berryman, Khin Than Win, Andrew Mccusker, Pascal Perez

Faculty of Engineering and Information Sciences - Papers: Part A

No abstract provided.


A New Empirical Model For Shear Strength Of Reinforced Concrete Beam - Column Connections, Tung Tran, Muhammad N. S Hadi, Thong M. Pham Jan 2014

A New Empirical Model For Shear Strength Of Reinforced Concrete Beam - Column Connections, Tung Tran, Muhammad N. S Hadi, Thong M. Pham

Faculty of Engineering and Information Sciences - Papers: Part A

A new empirical model to estimate the joint shear strength of both exterior and interior beam-column connections is proposed. In the model, four parameters that have the most influence on joint shear strength are considered. Among these four, a new parameter is introduced to consider the bond condition and the possibility of beam bars transferring joint shear force into the columns. Consideration of this parameter in the model significantly improves the accuracy of the predicted joint shear strength. To calibrate the model, a large database of 98 reinforced concrete (RC) exterior and 73 RC interior beam-column connections displaying joint failure ...


A Novel Hybrid-Link-Based Container Routing Model, Shuaian Wang Jan 2014

A Novel Hybrid-Link-Based Container Routing Model, Shuaian Wang

Faculty of Engineering and Information Sciences - Papers: Part A

Container routing determines how to transport containers from their origins to their destinations in a liner shipping network. Container routing needs to be solved a number of times as a subproblem in tactical-level decision planning of liner shipping operations. Container routing is similar to the multi-commodity flow problem. This research proposes a novel hybrid-link-based model that nests the existing origin-link-based and destination-link-based models as special cases. Moreover, the hybrid-link-based model is at least as compact as the origin-to-destination-link-based, origin-link-based and destination-link-based models in the literature.


A New Model For The Prediction Of Earthquake Ground-Motion Duration In Iran, Saman Yaghmaei-Sabegh, Zhila Shoghian, M Neaz Sheikh Jan 2014

A New Model For The Prediction Of Earthquake Ground-Motion Duration In Iran, Saman Yaghmaei-Sabegh, Zhila Shoghian, M Neaz Sheikh

Faculty of Engineering and Information Sciences - Papers: Part A

The paper proposes a new empirical model to estimate earthquake ground-motion duration, which significantly influences the damage potential of an earthquake. The paper is concerned with significant duration parameters that are defined as the time intervals between which specified values of Arias intensity are reached. In the proposed model, significant duration parameters have been expressed as a function of moment magnitude, closest site-source distance, and site condition. The predictive model has been developed based on a database of earthquake ground-motion records in Iran, containing 286 records up to the year 2007, and a random-effect regression procedure. The result of the ...


A Validated Thermo Mechanical Fem Model Of Bead-On-Plate Welding, Djarot Darmadi, A Kiet Tieu, John Norrish Jan 2014

A Validated Thermo Mechanical Fem Model Of Bead-On-Plate Welding, Djarot Darmadi, A Kiet Tieu, John Norrish

Faculty of Engineering and Information Sciences - Papers: Part A

This paper is presenting accurate FEM model of bead-on-plate welds of 316L stainless steels through thermo-mechanical analysis. The model was composed using ANSYS Parametric Design Language (APDL) program. In thermal analysis, mixed mode of volumetric thermal load was used to represent moving heat source. Growing weld bead was accommodated in both the thermal and mechanical models using birth and death technique. Melting phenomenon was modelled by low stiffness and zero plastic strain of melting elements. Results from thermal analysis and subsequent mechanical analysis have been validated. Good agreements of predicted temperature histories, temperature field and residual stress with experimental results ...