DSpace Collection:http://oaps.umac.mo/handle/10692.1/2092024-02-24T19:45:28Z2024-02-24T19:45:28ZFinite Element Analysis of Consolidation of PCP EmbankmentIEONG, UN KIO(楊沅喬)http://oaps.umac.mo/handle/10692.1/2272021-07-01T10:38:14Z2020-01-01T00:00:00ZTitle: Finite Element Analysis of Consolidation of PCP Embankment
Authors: IEONG, UN KIO(楊沅喬)
Abstract: Pile-supported embankment is a common construction method adopted in recent years. It is an effective solution to solve problems encountered when constructing over soft soils that have low bearing capacity and excessive settlement. There are many other different types of soil improvement techniques but the combination of piles and other reinforced element such as geosystemic allows rapid construction on a soft foundation. In this study, a finite element model will be established using the software PLAXIS 3D to investigate the problem. Focusing on pervious concrete piles. The soil arching in the embankment due to supporting elements will be assessed. Deformation and stress in various components will then be examined and compared with conventional design methods. In previous studies done using finite element models to investigate pile-supported embankments, the degree of consolidation of the foundation soil has not been investigated. Since the consolidation of the soil plays a big part in the arching of the soil, the degree of consolidation of the soil will be analyzed along with other parameters. In this study, it was found that pervious concrete piles were very effective for the construction of embankments. Compared to foundations with no piles, it was seen that the dissipation of excess pore pressure with the pervious concrete piles was much quicker. Results also showed that through the mechanism of soil-arching, the load of the embankment was effectively transferred to the piles and resulted that the overall surface settlement was greatly reduced.2020-01-01T00:00:00ZAnalysis of The Cable-Stayed Beam Structure Under Various Load ConditionsFENG, SI YING(馮思穎)http://oaps.umac.mo/handle/10692.1/2262021-07-01T10:38:04Z2020-01-01T00:00:00ZTitle: Analysis of The Cable-Stayed Beam Structure Under Various Load Conditions
Authors: FENG, SI YING(馮思穎)
Abstract: The cable-stayed beam is studied in this project under various structural and loading conditions. Through reviewing the previous studies of the cable-stayed beam structures, it is found that there is a limitation in the previous studies. The limitation is from the fact that the cable elongation is not taken into account in formulating the compatibility conditions between the cable and the beam. In this project, this limitation is removed so that the analysis may also be suitable for the cable with large deformation or the cable-stayed beam structures with large deflection. Then, the cable-stayed beam structures stayed by one cable are analyzed under different load conditions. The analysis is about l a cable-stayed beam structure which contains two part. The cable is connected to the free end of a cantilever beam. The free end of the beam is pulled by the cable. The analysis is based on an assumption that there is no deflection at the free end of the cantilever under self-weight. Both the cable equation and the beam flexural equation are adopted to formulate the nonlinear compatibility equation between cable and beam at their connection. Three different nonlinear algebraic equations are formulated, respectively, when the beam is under three different load conditions. After constructing a nonlinear equation, the equation is solved by the tools of “MATLAB”. Through different trials, the structures under different load conditions are analyzed. The parameter analyses are also conducted for different structural parameters for sensitivity analysis. The structural deformation and internal forces are presented.2020-01-01T00:00:00ZAdvanced statistical analyses on source water quality of MacauZHAO, ZHI HE(趙芷禾)http://oaps.umac.mo/handle/10692.1/2252021-07-01T10:37:10Z2020-01-01T00:00:00ZTitle: Advanced statistical analyses on source water quality of Macau
Authors: ZHAO, ZHI HE(趙芷禾)
Abstract: Drinking water quality is directly related to the health of the residents living in Macau. This study assesses the water quality of two reservoirs in Macau, i.e., Main Storage Reservoir (MMR) and Seac Pai Van Reservoir (MSR). The water quality data were evaluated via a developed Water Quality Index (WQI) approach coupled with two multivariate techniques of Principle Component Analysis (PCA) and Pearson’s R Correlation. Furthermore, classification models including Logistic Regression, Decision Tree, and Random Forest were adopted for water quality analyses in the study. The WQI scores obtained during the period from January 2016 to April 2019 are determined to be mostly above 76, which is indicative of a desirable water quality. WQI with PCA and Pearson’s r correlation can provide a holistic view of water quality during the studied period. As for the performance of classification models, these three models can predict the class of algal population based upon the given water quality parameters, while Random Forest results outperform the other two. In addition, the Decision Tree and Random Forest methods are able to identify the significant water quality parameters through predictive studies. The study carried out an overview of Macau water quality and provides a deeper insight on the interaction between algal population and water quality in MMR and MSR. The benefits of this study include improvement of water management efficiency and protection of water sources to the public.2020-01-01T00:00:00ZPredicting awaiting time for an available parking space by using artificial neural network: a case study of MacaoGUO, SHUAI ZHI(郭帥志)http://oaps.umac.mo/handle/10692.1/2242021-07-01T10:36:51Z2020-01-01T00:00:00ZTitle: Predicting awaiting time for an available parking space by using artificial neural network: a case study of Macao
Authors: GUO, SHUAI ZHI(郭帥志)
Abstract: The awaiting time for the next available parking space is important to solve the parking problem and achieve the social optimum. For example, in Macau, the utilization ratio of parking resources is low, and the distribution of parking resources is uneven. Previous studies have not focused on the study of awaiting time but only on the
prediction of occupation sequence. Further, there is no specialized research based on real cases in Macau. The main objective of this study is to design a prediction system
to predict the time of waiting for parking in Macau. Meanwhile, this paper showed why the awaiting time is the key point to solve the parking problem. The parking information is collected from DSAT which will be used as the training data set in the BP-ANN model, with the guidance of traditional statistical model (ARIMA) and optimization of genetic algorithm, an intermediate product of the awaiting time to be obtained which is the departure rate. Finally, through the Poisson model and infinitesimal calculus, the awaiting time is obtained. About the final result, the error of departure rate will not exceed 0.14 cars per minute which are about 14.4% to the mean value, the error for the awaiting time in short-term prediction will not exceed 2.7 minutes.2020-01-01T00:00:00Z