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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
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 …
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
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 …
Coupling A Thermal Comfort Model With Building Simulation For User Comfort And Energy Efficiency, Katharina Boudier, Massimo Fiorentini, Sabine Hoffmann, Raghuram Kalyanam, Georgios Kokogiannakis
Coupling A Thermal Comfort Model With Building Simulation For User Comfort And Energy Efficiency, Katharina Boudier, Massimo Fiorentini, Sabine Hoffmann, Raghuram Kalyanam, Georgios Kokogiannakis
Faculty of Engineering and Information Sciences - Papers: Part B
This paper describes a methodology for coupling an advanced model of the thermo-regulatory system of the human body that describes its physiological processes, a comfort model that evaluates thermal sensation and comfort, and the ESP-r building simulation software that computes the transient thermal response of a building model. The objective of this study was to utilise the physiology and comfort models to dynamically modify the heating and cooling temperature set points of a zone controller in ESP-r, in accordance with the computed human thermal sensation and achieve realtime thermal comfort management. The comunication between the software is managed by the …
A Distributed Broadcast Algorithm For Duty-Cycled Networks With Physical Interference Model, Dianbo Zhao, Kwan-Wu Chin
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
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 …
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
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 techniques …
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
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 the …
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
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 …
Analysis Of A Chemostat Model With Variable Yield Coefficient And Substrate Inhibition: Contois Growth Kinetics, Rubayyi Turki Alqahtani, Mark I. Nelson, Annette L. Worthy
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 …
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
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 second …
In-Arrears Interest Rate Derivatives Under The 3/2 Model, Joanna M. Goard
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
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 …
Multi-View Twri Scene Reconstruction Using A Joint Bayesian Sparse Approximation Model, Van Ha Tang, Abdesselam Bouzerdoum, Son Lam Phung, Fok Hing Chi Tivive
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 …
High Temperature Dislocation Structure And Nbc Precipitation In Three Ni-Fe-Nb-C Model Alloys, Andrii Kostryzhev, Parvez Mannan, Olexandra Marenych
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 faults were observed in all alloys after …
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
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 …
A Coastal Groundwater Management Model With Indian Case Study, Sudip Basack, Amartya Kumar Bhattacharya, Prabir Maity
A Coastal Groundwater Management Model With Indian Case Study, Sudip Basack, Amartya Kumar Bhattacharya, Prabir Maity
Faculty of Engineering and Information Sciences - Papers: Part A
The complexity of the hydrogeological setup in coastal areas calls for the adoption of scientific groundwater management techniques. Excessive withdrawal of groundwater in coastal zones will lead to depression of the water table, with associated hazards such as putting the well out of use, rendering abstraction uneconomic with increased lift. A sustained regional groundwater drawdown below sea level runs the risk of saline water intrusion, even for confined coastal aquifers. Uncontrolled groundwater development may lead to reversal of the freshwater gradient, thereby resulting in saline water ingress into coastal aquifers. There are, however, several established methodologies to control and minimise …
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
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.
Optimistic Fair Exchange In The Enhanced Chosen-Key Model, Yang Wang, Man Ho Au, Willy Susilo
Optimistic Fair Exchange In The Enhanced Chosen-Key Model, Yang Wang, Man Ho Au, Willy Susilo
Faculty of Engineering and Information Sciences - Papers: Part A
Optimistic fair exchange (OFE) is a kind of protocol to guarantee fairness for the parties involved in an exchange with the help of an arbitrator. A fundamental work of optimistic fair exchange is to define security models capturing realistic attacks and design schemes secure in practical models. The security models are very essential to ensure that they capture practical situation, which will ensure that the protocols can be adopted in practice. The contributions of this paper are three fold. First, we observe that the existing OFE models do not capture realistic situation, where the adversary can actually observe the full …
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
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.
Source Strength And Dispersion Of Co2 Releases From High-Pressure Pipelines: Cfd Model Using Real Gas Equation Of State, Xiong Liu, Ajit Godbole, Cheng Lu, Guillaume Michal, Phillip Venton
Source Strength And Dispersion Of Co2 Releases From High-Pressure Pipelines: Cfd Model Using Real Gas Equation Of State, Xiong Liu, Ajit Godbole, Cheng Lu, Guillaume Michal, Phillip Venton
Faculty of Engineering and Information Sciences - Papers: Part A
Transportation of CO2 in high-pressure pipelines forms a crucial link in the ever-increasing application of Carbon Capture and Storage (CCS) technologies. An unplanned release of CO2 from a pipeline presents a risk to human and animal populations and the environment. Therefore it is very important to develop a deeper understanding of the atmospheric dispersion of CO2 before the deployment of CO2 pipelines, to allow the appropriate safety precautions to be taken. This paper presents a two-stage Computational Fluid Dynamics (CFD) study developed (1) to estimate the source strength, and (2) to simulate the subsequent dispersion of CO2 in the atmosphere, …
An Advanced Mathematical Model And Its Experimental Verification For Trilayer Conjugated Polymer Actuators, Chuc Nguyen, Gursel Alici, Gordon G. Wallace
An Advanced Mathematical Model And Its Experimental Verification For Trilayer Conjugated Polymer Actuators, Chuc Nguyen, Gursel Alici, Gordon G. Wallace
Faculty of Engineering and Information Sciences - Papers: Part A
This paper describes the establishment of an enhanced mathematical model and an inversion-based controller based on the proposed model for a trilayer conjugated polymer actuator that will steer a cochlear implant through a 3-D structure. The multilayer electroactive polymer actuator that operates in air will suit many biomedical applications. We propose to use viscoelastic models for the conducting polymer and membrane layers of the actuator so that its mechanical properties can be incorporated into the actuator more accurately. The proposed model accurately predicts the frequency response of the electrical admittance and curvature of the conjugated polymer actuators, and its efficacy …
Confinement Model For Frp Confined Normal- And High-Strength Concrete Circular Columns, Thong M. Pham, Muhammad N. S Hadi
Confinement Model For Frp Confined Normal- And High-Strength Concrete Circular Columns, Thong M. Pham, Muhammad N. S Hadi
Faculty of Engineering and Information Sciences - Papers: Part A
This study establishes a confinement model for FRP confined normal- and high-strength concrete circular columns. A new column parameter was suggested for estimating the compressive strength of FRP confined concrete. The proposed model is able to predict the ultimate condition of FRP confined concrete columns that have similar unconfined concrete strength and confining pressure but significant differences in the jacket stiffness. The proposed model was then verified using a database of 574 FRP confined concrete circular columns with different types of FRP. This database covers unconfined concrete strength between 15 MPa and 170 MPa and specimens with a diameter ranging …
A Model For Acid-Mediated Tumour Growth With Nonlinear Acid Production Term, Andrew B. Holder, Marianito R. Rodrigo, Miguel A. Herrero
A Model For Acid-Mediated Tumour Growth With Nonlinear Acid Production Term, Andrew B. Holder, Marianito R. Rodrigo, Miguel A. Herrero
Faculty of Engineering and Information Sciences - Papers: Part A
This article considers a mathematical model for tumour growth based on an acid-mediated hypothesis, i.e. the assumption that tumour progression is facilitated by acidification of the region around the tumour-host interface. The resulting destruction of the normal tissue environment promotes tumour growth. We will derive and analyse a reaction-diffusion model for tumour progression that includes different aspects of pathological and healthy cell metabolism to check tumour growth. Our results can provide insights into the governing dynamics of invasive processes that may suggest possible intervention strategies, leading to the design of new and better experiments or treatments.
A Novel Hybrid-Link-Based Container Routing Model, Shuaian Wang
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
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
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 …
An Mle Method For Finding Lkb Ntcp Model Parameters Using Monte Carlo Uncertainty Estimates, Martin Carolan, Bradley Oborn, Kerwyn Foo, Annette Haworth, Sarah Gulliford, Martin A. Ebert
An Mle Method For Finding Lkb Ntcp Model Parameters Using Monte Carlo Uncertainty Estimates, Martin Carolan, Bradley Oborn, Kerwyn Foo, Annette Haworth, Sarah Gulliford, Martin A. Ebert
Faculty of Engineering and Information Sciences - Papers: Part A
The aims of this work were to establish a program to fit NTCP models to clinical data with multiple toxicity endpoints, to test the method using a realistic test dataset, to compare three methods for estimating confidence intervals for the fitted parameters and to characterise the speed and performance of the program.
A New Empirical Model For Shear Strength Of Reinforced Concrete Beam - Column Connections, Tung Tran, Muhammad N. S Hadi, Thong M. Pham
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 …
Variational Inequality Model For Cordon-Based Congestion Pricing Under Side Constrained Stochastic User Equilibrium Conditions, Zhiyuan Liu, Qiang Meng, Shuaian Wang
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 …
Semi-Analytical Solutions For The Reversible Selkov Model With Feedback Delay, Khaled. Al Noufaey, Timothy Marchant
Semi-Analytical Solutions For The Reversible Selkov Model With Feedback Delay, Khaled. Al Noufaey, Timothy Marchant
Faculty of Engineering and Information Sciences - Papers: Part A
Semi-analytical solutions for the reversible Selkov, or glycolytic oscillations model, are considered. The model is coupled with feedback at the boundary and considered in one-dimensional reaction-diffusion cell. This experimentally feasible scenario is analogous to feedback scenarios in a continuously stirred tank reactor. The Galerkin method is applied, which approximates the spatial structure of both the reactant and autocatalyst concentrations. This approach is used to obtain a lower-order, ordinary differential equation model for the system of governing equations. Steady-state solutions, bifurcation diagrams and the region of parameter space, in which Hopf bifurcations occur, are all found. The effect of feedback strength …