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22nd International Congress on Modelling and Simulation: Managing Cumulative Risks through Model-Based Processes, MODSIM 2017 - Held jointly with the 25th National Conference of the Australian Society for Operations Research and the DST Group led Defence Operations Research Symposium, DORS 2017

作者： Islam, F. Imteaz, M.A. Rasel, H.M. Department of Civil and Construction Engineering Swinburne University of Technology Melbourne Australia

ISBN: (纸本)9780987214379

Climate indices are very effective predictors for forecasting seasonal rainfall. For any rainfall forecasting approach, it is necessary to understand the behavior of potential climate indices with rainfall variability. At present, rainfall forecasting using climate indices is one of the most reliable method to predict rainfall variability in many parts of the world. But, most of the studies have concentration on concurrent relationship between climate indices and seasonal rainfall. While a very few studies were conducted on concentration of lagged relationship between climate indices and seasonal rainfall. This study explores the significant correlation among lagged climate indices with autumn rainfall for south coast of Western Australia. As several climate indices such as Indian Ocean Dipole (IOD), El Nino Southern Oscillation (ENSO), Southern Oscillation Index (SOI), Southern Annular Mode (SAM), Blocking highs, Enso Modoki Index (EMI) are responsible for rainfall variability in Australia;therefore, this study evaluates the major climate indices and their interaction in generating rainfall variability in south coast of Western Australia. In the south coast part of Western Australia, two stations (Albany and Mount Barker) were considered for this study. From the single statistical correlation analysis, it was found that DMI (IOD indicator), SOI, Nino3.4, Nino3 and Nino4 (ENSO indicators) have significant correlation with autumn rainfall in Albany and Mount Barker. However, for these two stations EMI did not show any significant correlation with autumn rainfall. A time series analysis approach (Auto Regressive Integrated Moving Average-ARIMA) was conducted using climate indices, which showed significant correlation with autumn rainfall. In ARIMA model, lagged DMINino3;lagged DMI-Nino4;Lagged DMI-Nino3.4 and Lagged DMI-SOI were chosen as independent variables (predictors) as it has showed significant correlation. From the ARIMA model analysis, it was evident that lag

关键词： Rain

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Seasonal streamflow prediction using large scale climate drivers for NSW region 22

Seasonal streamflow prediction using large scale climate dri...

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作者： Esha, R.I. Imteaz, M.A. Department of Civil and Construction Engineering Swinburne University of Technology Melbourne Australia

ISBN: (纸本)9780987214379

High inter-annual variability of streamflow resulting from the extensive topographic variation and climatic inconsistency cause immense difficulties to the water planners and managers of New south Wales which is one of the major contributors of Australia’s agricultural production. Therefore, in this study an attempt is made to develop a skilful seasonal streamflow forecast method considering four major influential climate variables (ENSO, PDO, IOD, IPO) of south-east New South Wales. Single lagged correlation analysis is performed to identify their individual interactions with spring streamflow till nine lagged months and this is exploited as the basis for developing Multiple Linear Regression (MLR) models to examine the extent of the combined impact of these climate drivers on forecasting spring streamflow several months ahead. Several research works were carried out to forecast streamflow and rainfall for different parts of Australia using the climate indices as potential predictors but none of those apply the Multiple Regression analysis to explore the combined impact of climate indices on long lead seasonal streamflow forecast for New South Wales. Four streamflow stations from south-east New South Wales are selected as a case study based on their recorded data length with fewer missing values. The developed models with all the possible combinations, show significantly good results in terms of Pearson correlation(r), Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Willmott index of agreement (d) where the best models with lower errors give statistically significant correlations as 0.57 for Wee Jasper station, 0.41 Kiosk Station,0.49 for Mittagan station and 0.51 for Gundagai station. The best MLR models are obtained with lagged periods up to 3 months. It is evident that every time the combined model outperforms the model considering single climate variable in terms of Pearson correlation(r) which ascertains the better predictive skills of MLR models

关键词： Multiple linear regression

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Analysing the effect of lagged climate indices on rainfall predictability for Western Australia’s North Coast region 22

Analysing the effect of lagged climate indices on rainfall p...

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作者： Islam, F. Imteaz, M.A. Rasel, H.M. Department of Civil and Construction Engineering Swinburne University of Technology Melbourne Australia

ISBN: (纸本)9780987214379

In last few decades, Australia experiences several extreme floods, bushfires and droughts. The consequences of these natural calamities have great social, environmental and economic impacts. Therefore, having a reliable seasonal forecasting of rainfall is highly important to withstand these situations as rainfall is mostly correlated with extreme flood, bushfire and drought incidents. Over decades, scientists and researchers are looking for reliable forecasting systems, which could provide definite predictions of rainfall that is essential for water management, agricultural production and flood management systems and mitigating such destructive situations by proper planning and management. Rainfall forecasting using climate indices has become one of the best ways to predict rainfall variability in many parts of the world. This strategy has also been proved as an effective tool to determine such variability. As Australia is affected by many different weather systems, several studies have been conducted to identify potential climate indices like Indian Ocean Dipole (IOD), El Nino Southern Oscillation (ENSO), Southern Annular Mode (SAM), Blocking highs, MODOKI and their interactions with rainfalls in different parts of Australia. Different regions of Australia have been exposed to different climate indices, so it is often recommended to study different regions separately to understand the effects of climate indices and their effectiveness to predict long-term rainfall. This study explores the seasonal variability of rainfall in Western Australia (WA) considering the effects of dominant climatic indices responsible for this region and develop a rainfall model for predicting Western Australia seasonal rainfall using potential climate indices. Very few studies have ever been found which had a primary concentration in determining rainfall variability in WA. Moreover, most of these studies has evaluated concurrent relationship between rainfall and climate indices. While a v

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Laboratory determination of hygric and thermal anisotropy of hemp-lime composite

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AIP Conference Proceedings 2020年第1期2275卷

作者： Przemysław Brzyski Zbigniew Suchorab Agnieszka Malec-Marczewska 1Department of Construction Faculty of Civil Engineering and Architecture Lublin University of Technology Nadbystrzycka 40 20-618 Lublin Poland 2Department of Water Supply and Wastewater Disposal Faculty of Environmental Engineering Lublin University of Technology Nadbystrzycka 40B 20-618 Lublin Poland

Hemp-lime composite is a building material based on lime binder and hemp shives, obtained from the wooden core of industrial hemp stalks. It is used as a filling (thermal insulation) in timber frame construction walls. The direction of the shives related to the methods of compacting the composite mixture determines the anisotropic properties of the material. The shives are characterised by high porosity. Pores in the form of closed tubules are directed in the direction of growth of the hemp stalk, i.e. along the fibres. Directional configuration of the pores influences the processes of transport of water, air, vapour and heat through the building barriers. The presented research is an approach to determine the influence of direction of heat and water flow through the anisotropic material. The water flow characteristics depending on direction have been evaluated using the technique of indirect moisture determination – Time Domain Reflectometry (TDR). Thermal conductivity coefficient differences depending on the direction have been evaluated using the stationary method.

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Complex variable solution for boundary value problem with X-shaped cavity in plane elasticity and its application*

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Applied Mathematics and Mechanics(English Edition) 2017年第9期38卷 1329-1346页

作者： Hang ZHOU College of Civil Engineering Key Laboratory of New Technology for Construction of Cities in Mountain AreaChongqing UniversityChongqing 400045China State Key Laboratory for Geomechanics and Deep Underground Engineering China University of Mining and TechnologyXuzhou 221116Jiangsu ProvinceChina

A new type of displacement pile, the X-section cast-in-place concrete （XCC） pile, has recently been developed in China. Extensive field tests and laboratory experi- ments are undertaken to evaluate its performance and quantify the non-uniform deforma- tion effect （NUDE） of the X-shaped cross section during installation. This paper develops a simplified theoretical model that attempts to capture the NUDE. Based on the theory of complex variable plane elasticity, closed-form solutions of the stress and displacement for the X-shaped cavity boundary value problem are given. Subsequently, the analytical solution is used to evaluate the NUDE, the concrete filling index （CFI）, and the perimeter reduction coefficient of the XCC pile cross section. The computed results are compared with field test results, showing reasonable agreement. The present simplified theoretical model reveals the deformation mechanism of the X-shaped cavity and facilitates applica- tion of the newly developed XCC pile technique in geotechnical engineering.

关键词： complex variable solution boundary value problem plane elasticity X-section cast-in-place concrete （XCC） pile deformation mechanism theoretical study

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Study of air pollutants and its impact at selected signal junctions on GST Road along Kattankulathur to Guduvanchery stretch in Chengalpattu District

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AIP Conference Proceedings 2020年第1期2277卷

作者： K. Prasanna K. Kalaiarasan R. Pradeep Kumar G. S. Suprajha N. Balaji J. S. Sudarsan 1Department of Civil Engineering SRM Institute of Science and Technology Kattankulathur India 2B.Tech Civil Engineering SRM Institute of Science and Technology Kattankulathur-603203 India 3M.Tech Environmental Engineering SRM Institute of Science and Technology Kattankulathur-603203 India 4Department of Mathematics SRM Institute of Science and Technology Kattankulathur 603203 India 5Assistant Professor School of Construction Management NICMAR (Pune campus) Balewadi India

Air pollution is the action of mixing of particles and substances into the atmosphere which could cause breathing problems and harmful health issues to living beings. The air pollution in cities is higher than other places. The pollutants causing air pollution are Carbon monoxide (CO), Oxides of nitrogen (NOx), Ozone (O3), lead (Pb), Hydrocarbon (CH), benzene, Polycyclic aromatic hydrocarbons, Sulphur dioxide (SO2) and particulate matter. The major contribution to air pollution is vehicle exhaust in cities. In order to find out the pollution caused by vehicles a traffic survey was conducted at three locations, namely Kattankulathur bus stop, Potheri bus stop and Guduvanchery traffic signal. The type and number of vehicles were analyzed after the survey and the amount of pollutants emitted by them were found. A proper analysis of Sulphur dioxide (SO2), Nitrogen dioxide (NO2) and Suspended Particulate Matter (SPM) was done. The Exceeding factor for each pollutant was calculated according to their respective location. The exceeding factor for Sulphur dioxide is medium, Nitrogen oxide is high and SPM is critical in all three locations. In order to confront the emission of pollutants into the atmosphere we suggest some methods in this study.

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An exploration of unlearning of practicing civil engineers

An exploration of unlearning of practicing civil engineers

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Frontiers in Education (FIE) Conference

作者： Oai Ha Shane Brown Dept of Engineering and Technology Western Carolina University Culowhee NC USA School of Civil and Construction Engineering Oregon State University Corvallis OR USA

ISBN: (纸本)9781538611753;9781538611746

This Research to Practice Work in Progress Paper presents an exploration of unlearning of practicing civil engineers. Unlearning is a necessary process to keep engineers abreast of ever-changing socio-technical and professional demands by replacing odd knowledge with a new one, which is coherent with their knowledge structures and practice contexts. This paper explores the unlearning of fundamental engineering concepts within 95 practicing civil engineers by investigating their performances on and attitudes towards Statics Concept Inventory. The analysis of their performances on the inventory revealed that many of them did not retain, use, and need this fundamental engineering concept in their practices. It appears that when engineers begin their professional careers, they also start giving up parts of their learned knowledge including many fundamental engineering concepts to acquire new knowledge suitable to their expertise and practice contexts of teams and organizations.

关键词： Knowledge engineering Organizations civil engineering engineering profession engineering education Training

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Non-linear multiple regression analysis for predicting seasonal streamflow using large scale climate mode 22

Non-linear multiple regression analysis for predicting seaso...

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作者： Esha, R.I. Imteaz, M.A. Department of Civil and Construction Engineering Swinburne University of Technology Melbourne Australia

ISBN: (纸本)9780987214379

New South Wales which is one of the major contributors of Australia’s agricultural income, often undergoes extreme climate conditions like droughts and floods due to its geographical location and climatic inconsistency, resulting in high inter-annual variation in streamflow. This study presents a solution to this problem developing streamflow prediction models with long lead time scale using the statistical Multiple NonLinear Regression (MNLR) techniques. While most of the past studies were concentrated on revealing the relationship between streamflow and single concurrent or lagged climate indices, current endeavour is to explore the combined impacts of large scale climate drivers to forecast seasonal streamflow considering their relationship to be non-linear. Several oceanic and atmospheric climate indices are selected considering their influence on the streamflow of NSW which includes four major climate drivers of this region PDO (Pacific Decadal Oscillation), IPO (Inter Decadal Pacific Oscillation), IOD (Indian Ocean Dipole) and the ENSO (El Nino Southern Oscillation) indices. The developed models with all the possible combinations show significantly good results in terms of Pearson correlation(r), and Root Mean Square Error (RMSE). The outcomes of MNLR models are compared to the best models of Multiple Linear Regression(MLR) analysis which was performed in one of the previous studies of this research. MNLR models are evident to outperform the MLR models in terms of Pearson correlation (r) values in both calibration and validation stages, verifying the non-linear relationship between seasonal streamflow and large-scale climate drivers. The maximum correlations are obtained as 0.46, 0.39, 0.52 in the calibration period and 0.71, 0.85 and 0.79 in the validation period for the Singleton, Coggan and North Cuerindi stations respectively. Though the correlation values are not very high, they are statistically significant. The time series plot of the observed and simul

关键词： Multiple linear regression

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Laboratory evaluation of biosolids stabilized with demolition wastes as an embankment fill material

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Lowland technology International 2018年第2期20卷 155-160页

作者： Arulrajah, A. Maghool, F. Horpibulsuk, S. Bo, M.W. Shen, S.L. Department of Civil and Construction Engineering Swinburne University of Technology HawthornVIC3122 Australia School of Civil Engineering Center of Excellence in Innovation for Sustainable Infrastructure Development Suranaree University of Technology Nakhon Ratchasima30000 Thailand Sarafinchin Inc. Ltd TorontoON Canada Department of Civil Engineering Ocean and Civil Engineering School of Naval Architecture Shanghai Jiao Tong University Shanghai200240 China

Biosolids (Bio) are air-dried sewage sludge from wastewater treatment plants. Stockpiles of Bio are rapidly increasing around the globe. The primary aim of this paper was to evaluate the potential for Bio stabilized with demolition wastes as an embankment fill material. This laboratory evaluation study was undertaken to evaluate the geotechnical properties of Bio when stabilized with various percentages of demolition wastes, being Crushed Brick (CB) and Crushed Concrete (CC). The standard compaction results indicated that the dry density of Bio increased with the addition of both demolition wastes. The optimum moisture content of Bio was found to consistently decrease with increasing amounts of demolition wastes. The gradation, pH value and specific gravity of Bio samples improved with the addition of demolition wastes. The California Bearing Ratio (CBR) value of Bio samples was increased with the addition of CB and CC, with the optimum value found to be achieved with 50% CC content (Bio50/CC50). The positive outcomes of this research project will potentially enable Bio to be used in combination with demolition wastes in embankment fill applications. This sustainable approach will reduce the demand for virgin materials and will potentially divert significant quantities of these waste materials from landfills and into a high value embankment fill material. © 2018 International Association of Lowland technology. All rights reserved.

关键词： Sewage sludge

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A study on the strength properties of solidified lead contaminated soil under repeated freeze and thaw cycles

A study on the strength properties of solidified lead contam...

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International Conference on Geotechnical and Earthquake engineering 2018: Geotechnical and Seismic Research and Practices for Sustainability, IACGE 2018

作者： Yang, Zhong-Ping Li, Deng-Hua Liu, Shu-Lin Tian, Xin Yeh, T.-C. Jim Natl. Jt. Eng. Res. Ctr. for Prev. and Control of Environmental Geological Hazards in the TGR Area Chongqing Univ. Chongqing400045 China Key Laboratory of New Technology for Construction of Cities in Mountain Area Chongqing Univ. Ministry of Education Chongqing400045 China School of Civil Engineering Chongqing Univ. Chongqing400045 China Dept. of Hydrology and Atmospheric Sciences Univ. of Arizona TucsonAZ210011 United States

ISBN: (数字)9780784482049

ISBN: (纸本)9780784482049

Solidification/stabilization technology has been used extensively to reduce the mobility of heavy metal contaminants and improve the mechanical properties of the soils. Its effectiveness depends on the complex interaction among curing agent, heavy metals, and soil, which could be significantly affected by the external environment. However, the effects of long-term extreme weather conditions including freeze and thaw on the strength of the stabilized lead contaminated soils have not been investigated. This study presents a systematic investigation on the impacts of freeze-thaw (F-T) cycle on the strength properties of stabilized lead contaminated soil. The lead contaminated soil was prepared in the laboratory using a systematic strategy. Several series of tests are conducted including unconfined compression tests (UCTs) and direct shear tests on the soils subjected on the freeze-thaw cycles as well as standard cured conditions (temperature of 20°C and a relative humidity of 95%). The results show that the freeze-thaw cycles have much significant impact on the strength of stabilized lead contaminated soils. After the freeze-thaw cycle tests, the unconfined compression strength, as well as the friction angle and cohesion force, were significant decrease. However, the strength loss ratio of unconfined compression depend on the binder, freeze-thaw cycles times, and extreme temperature of the freeze-thaw cycles. This study provide scientific basis for remediation of heavy metal contaminated site and prevention and treatment of heavy metal pollutant in seasonal freezing area. © 2019 American Society of civil Engineers.

关键词： Heavy metals

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