Engineering Commons^™

Temporal Data Mining Of Uncertain Water Reservoir Data, Abhinaya Mohan, Peter Revesz

CSE Conference and Workshop Papers

This paper describes the challenges of data mining uncertain water reservoir data based on past human operations in order to learn from them reservoir policies that can be automated for the future operation of the water reservoirs. Records of human operations of water reservoirs often contain uncertain data. For example, the recorded amounts of water released and retained in the water reservoirs are typically uncertain, i.e., they are bounded by some minimum and maximum values. Moreover, the time of release is also uncertain, i.e., typically only monthly or weekly amounts are recorded. To increase the effectiveness of data mining of …

Lifecycle Energy Consumption Prediction Of Residential Buildings By Incorporating Longitudinal Uncertainties, Endong Wang, Zhigang Shen

Durham School of Architectural Engineering and Construction: Faculty Publications

Accurate prediction of buildings’ lifecycle energy consumption is a critical part in lifecycle assessment of residential buildings. Longitudinal variations in building conditions, weather conditions and building’s service life can cause significant deviation of the prediction from the real lifecycle energy consumption. The objective is to improve the accuracy of lifecycle energy consumption prediction by properly modelling the longitudinal variations in residential energy consumption model using Markov chain based stochastic approach. A stochastic Markov model considering longitudinal uncertainties in building condition, degree days, and service life is developed: 1) Building’s service life is estimated through Markov deterioration curve derived from actual …

Using Relevance Vector Machines Approach For Prediction Of Total Suspended Solids And Turbidity To Sustain Water Quality And Wildlife In Mud Lake, Hussein Aly Batt

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

The main objective of the research is the development of Multivariate Relevant Vector Machine (MVRVM) to predict suspended fine sediment, water quality constituents, and provide an understanding for the practical problem of determining the amount of data required for the MVRVM. MVRVM is a statistical learning algorithm that is based on Bayes theory. It has been widely used to predict patterns in hydrological systems and other fields. This research represents the first known attempt to use a MVRVM approach to predict transport of very fine sediment and water quality constituents in a complex natural system.

The results demonstrate the ability …

Soft Soils Improved By Prefabricated Vertical Drains: Performance And Prediction, Buddhima Indraratna, Cholachat Rujikiatkamjorn, V Wijeyakulasuriya, G Mcintosh, R Kelly

Cholachat Rujikiatkamjorn

The use of prefabricated vertical drains with preloading is now common practice and is proving to be one of the most effective ground improvement techniques known. The factors affecting its performance, such as the smear zone, the drain influence zone, and drain unsaturation, are discussed in this paper. In order to evaluate these effects a large scale consolidation test was conducted and it was found that the proposed Cavity Expansion Theory could be used to predict the characteristics of the smear zone based on the soil properties available. Moreover, the procedure for converting an equivalent 2-D plane strain multi-drain analysis …

Performance And Prediction Of Vacuum Combined Surcharge Consolidation At Port Of Brisbane, Buddhima Indraratna, Cholachat Rujikiatkamjorn, Xueyu Geng, Jayantha Ameratunga, Peter Boyle

Cholachat Rujikiatkamjorn

During the past decade, the application of vacuum preloading for stabilising soft coastal clay and other low-lying estuarine soils has become popular in Australia. The cost-effectiveness is a major factor in most projects in view of the significantly reduced time for achieving a relatively high degree of consolidation. Due to an increase in trade activities at the Port of Brisbane, new facilities on Fisherman Islands at the mouth of the Brisbane River will be constructed on the new outer area (235 ha) adjacent to the existing port facilities via land reclamation. A vacuum assisted surcharge load and conventional surcharge scheme …

Conveyor Trajectory Prediction Methods - A Review, David B. Hastie, Peter W. Wypych

David Hastie

The accurate design of conveyor transfers for the efficient transfer of product from one conveyor to another is of utmost importance and companies can not afford a hit and miss approach in their construction. Several key particle mechanisms occur within a transfer chute, discharge from a belt conveyor, trajectory, impact, free-fall and chute flow. This paper will focus on the prediction of product discharge and product trajectory from conveyor belts, which are the defining elements determining the flow through a conveyor transfer. There are several approaches available in the literature which will be reviewed taking into account issues such as …

The Prediction Of Conveyor Trajectories, David B. Hastie, Peter W. Wypych

David Hastie

From transportation of bulk materials in underground and open-cut mines to applications in power stations and processing plants to name but a few, belt conveyors are widely used as an economical continuous conveying method. Most of these industries rely strongly on conveyor transfers to divert material from one conveyor to another at some point in their system. The unfortunate reality is that some companies will be driven by cost minimisation for the short-term rather than planning for the long-term. This will result in bad decisions being made and the incorrect conveyor transfer being installed with flow-on effects such as downtime …

The Prediction Of Thermophysical Properties For Modelling Solidification Of Metallic Melts, P N Quested, Robert F Brooks, Brian J. Monaghan

Brian Monaghan

This paper briefly describes the philosophy of Ken Mills to give to industry recommended values for thermophysical properties at high temperatures with an indication of the uncertainty of measurement relevant to their processes. To achieve this Ken adopted what he called his three pronged attack: ' CrWcal~l' assess the data in the literatllre andaflempt to recommend rallies/or fhe properties. Construct equipment to make the relevant measurements and peliorlll experiments to understand inconsistencies in the literature values. bll'estigate models of properties to aid 1Inderstanding of the measurements and make realistic predictions of the properties. The paper outlines how his SLlccessors have …

Structural Identification Through Monitoring, Modeling And Predictive Analysis Under Uncertainty, Hasan Burak Gökçe

Electronic Theses and Dissertations

Bridges are critical components of highway networks, which provide mobility and economical vitality to a nation. Ensuring the safety and regular operation as well as accurate structural assessment of bridges is essential. Structural Identification (St-Id) can be utilized for better assessment of structures by integrating experimental and analytical technologies in support of decision-making. St-Id is defined as creating parametric or nonparametric models to characterize structural behavior based on structural health monitoring (SHM) data. In a recent study by the ASCE St-Id Committee, St-Id framework is given in six steps, including modeling, experimentation and ultimately decision making for estimating the performance …

Recommendations For “Kiwi” Exploring Different Techniques For Recommendations In A Kazakh Online Video Website, Tair Kuanyshev

Dissertations

The aim of this project is to build a recommender system for an online website based on an empirical study using real-world data. The real world data was taken from the website Www.kiwi.kz which is an online video sharing website, providing online video, broadcast and radio to users since 2009. The research problem sought to develop the most suitable recommender system for an online video sharing website and to evaluate the effectiveness of this model on the real world data. This research attempts to develop the recommender system which will suggest possibly interesting video clips for users on an online …

Sports Data Mining Technology Used In Basketball Outcome Prediction, Chenjie Cao

Dissertations

Driven by the increasing comprehensive data in sports datasets and data mining technique successfully used in different area, sports data mining technique emerges and enables us to find hidden knowledge to impact the sport industry. In many instances, predicting the outcomes of sporting events has always been a challenging and attractive work and is therefore drawing a wide concern to conduct research in this field. This project focuses on using machine learning algorithms to build a model for predicting the NBA game outcomes and the algorithms involve Simple Logistics Classifier, Artificial Neural Networks, SVM and Naïve Bayes. In order to …

Numerical Prediction Of Unsaturated Ground Behavior Influenced By Vegetation And Vacuum Consolidation, Cholachat Rujikiatkamjorn, Buddhima Indraratna, B Fatahi

Faculty of Engineering - Papers (Archive)

Bioengineering including native vegetation is an ancient method of improving the stability of slopes. In modern railway engineering, this technique is re-captured for increasing the soil stiffness and shear strength of subgrade beneath rail tracks. Currently this practice has become increasingly popular in Australia for stabilising railway corridors built over expansive clays and compressive soft soils. This paper looks at the stabilisation role by suction generated by both the natural vegetation and the artificial vacuum application using the numerical analysis. For demonstrating the role of native vegetation, a mathematical model for the rate of root water uptake was incorporated in …

Performance And Prediction Of Surcharge And Vacuum Consolidation Via Prefabricated Vertical Drains With Special Reference To Highways, Railways And Ports, Buddhima Indraratna, Cholachat Rujikiatkamjorn, Xueyu Geng

Faculty of Engineering - Papers (Archive)

Much of the world’s essential infrastructure is built along congested coastal belts that are composed of highly compressible and weak soils up to significant depths. Soft alluvial and marine clay deposits have very low bearing capacity and excessive settlement characteristics, with obvious design and maintenance implications on tall structures and large commercial buildings, as well as port and transport infrastructure. Stabilising these soft soils before commencing construction is essential for both long term and short term stability. A system of vertical drains combined with vacuum pressure and surcharge preloading has become an attractive ground improvement alternative in terms of both …

Stabilising Railway Embankments With Geosynthetic Grids And Drains And A Class A Prediction Of Track Behaviour, Buddhima Indraratna, Sanjay Nimbalkar, Cholachat Rujikiatkamjorn

Faculty of Engineering - Papers (Archive)

The ballast layer is intended to provide a free draining base and sufficient bearing capacity to maintain a proper track alignment. Due to the growth in commuter and industrial traffic, the railway industry needs to fulfil the demands for faster, heavier, and longer trains. However, these high traffic loads often result in a large plastic deformations and degradation of ballast, which in turn, leads to a significant loss of track stability and high maintenance costs. The deformation and degradation of ballast are influenced by factors such as the amplitude and frequency of loading, the number of load cycles, track confining …

Class A Prediction Of A Piled Relieving Slab Using Uncoupled Models, David Oliveira, Dan Gorman, Frances Badelow

Faculty of Engineering - Papers (Archive)

Construction of the new Windsor Road on/off ramps, part of the M2 Upgrade project, required limiting the loads and movements imposed on existing precast concrete walls so that no additional pressure was applied as a result of the new construction works. This was necessary due to possible structural deficiencies of some of the existing reinforced concrete elements. A piled relieving slab was adopted as the final solution to support the reinforced soil wall ramps and a comprehensive soil-structure interaction assessment was carried out in order to predict the pile head deflections and assess potential loading of the existing walls. A …

Performance And Prediction Of Vacuum Combined Surcharge Consolidation At Port Of Brisbane, Buddhima Indraratna, Jayantha Ameratunga, Cholachat Rujikiatkamjorn, Harry G. Poulos, A S. Balasublamaniam

Faculty of Engineering - Papers (Archive)

During the past decade, the application of vacuum pressure for stabilising soft coastal clay and other low-lying estuarine soils has become increasingly popular in Australia, mainly due to the proven costeffectiveness in view of the significantly reduced time for achieving a high degree of consolidation and enhanced shear strength. Due to an increase in trade activities at the Port of Brisbane, new facilities on Fisherman Islands at the mouth of the Brisbane River will be constructed on the new outer area (235ha) adjacent to the existing port facilities via land reclamation. A scheme of vacuum assisted surcharge load in conjunction …

Thermal, Microstructural And Mechanical Coupling Analysis Model For Flatness Change Prediction During Run-Out Table Cooling In Hot Strip Rolling, Xiao-Dong Wang, Fei Li, Zheng-Yi Jiang

Faculty of Engineering and Information Sciences - Papers: Part A

Non-uniformity of temperature distribution across strip width direction is the ultimate reason why the flatness defect occurs on the strip after cooling process although the strip is flat at the exit of finishing mill. One thermal, microstructural and mechanical coupling analysis model for predicting flatness change of steel strip during the run-out table cooling process was established using ABAQUS finite element software. K Esaka phase transformation kinetics model was employed to calculate the phase transformation, and coupled with temperature calculation using the user subroutine program HETVAL. Elasto-plasticity constitutive equations of steel material, in which conventional elastic and plastic strains, thermal …