School of Built Environment (SBE) Collection
http://hdl.handle.net/20.500.12281/6448
2024-03-29T15:38:14Z3D estimation of strain and velocity in Bududa district using GNSS
http://hdl.handle.net/20.500.12281/11071
3D estimation of strain and velocity in Bududa district using GNSS
Sseruwagi, Henry
Landslides are defined as ‘the movement of a mass of rock, debris or earth down a slope’ and mostly constitute small, but sometimes frequent events affecting millions of people worldwide(Cruden, 1996). They are part of very many natural hazards that have affected people from time memorial others including earthquakes, avalanches and floods((Acar, 2010). Landslides in particular have been recorded for several centuries in Asia, Europe and Africa(De Graff et al., 1989) affecting millions of people worldwide(Mertens et al., 2016). Landslides monitoring studies are carried out mainly on one of the two main stages that is to say the strain and deformation stages. The strain stage is the stage where the actual ground deformation has not yet happened but the stress factors causing the deformation are present and thus deformation may happen any time. This helps to provide useful information on which areas are stressed the most and hence remedies are put in place. This report discusses the monitoring of these landslides using GNSS. It also presents strain tensors, rotation tensors, dialatation tensors that show the crustal movements during the time of GNSS observations. These were computed using a software called Geostrain which is an open source software running in MatLabs software.The report also shows the velocity motion of the district calculated using Trimble Business Center software.
A research project report submitted to the Department of Geomatics & Land Management, School of Built Environment, College of Engineering, Design, Art and Technology in partial fulfillment of the requirements for the award of the Degree of Bachelor of Science in Land Surveying and Geomatics of Makerere University.
2021-12-07T00:00:00ZAccessing the challenges of the steel-timber-concrete composite construction and the potential benefits of using this type of construction in Uganda
http://hdl.handle.net/20.500.12281/17135
Accessing the challenges of the steel-timber-concrete composite construction and the potential benefits of using this type of construction in Uganda
Arima, Prince Jovan
This report presents comprehensive study on the feasibility and challenges of implementing Steel-Timber-Concrete (STC) composite construction for bungalows and three to five-storey buildings in Uganda. The study aimed to evaluate the current state of the construction industry in Uganda, identify key challenges hindering the adoption of STC construction, analyse the specific strengths of STC compared to conventional methods, and develop recommendations to promote STC construction and facilitate its widespread adoption.
The findings of the study revealed several challenges that impede the widespread use of STC construction in Uganda, including existing prohibitions, lack of established timber standards, and the need for comprehensive safety demonstrations and further research. However, the comparison between STC construction and conventional methods demonstrated the specific strengths of STC, such as improved structural performance, cost efficiency. and sustainability.
A set of recommendations has been developed to address the challenges and promote the adoption of STC construction in Uganda. These recommendations include continuous professional development programs, specialized training for structural steel welders, collaboration between academic institutions and standards authorities, government support, and a robust monitoring and evaluation framework. Implementing these recommendations will enable Uganda to overcome challenges, leverage the benefits of STC construction, advance the construction industry, promote sustainable development goals, and foster innovation in composite construction.
Overall, this report provides valuable insights into the feasibility and challenges of using STC composite construction in Uganda. It offers a roadmap for industry stakeholders, policymakers, and researchers facilitate the successful implementation of STC technology. Enhance construction practices, and contribute to the growth and sustainability of Uganda's construction industry.
A report submitted to the Department of Construction Economics and
Management in partial fulfilment of the requirement for the award
of a Bachelor’s Degree in Construction Management at Makerere
University
2023-06-06T00:00:00ZAccessing the impact of land use planning on social economic development in Kampala.
http://hdl.handle.net/20.500.12281/7107
Accessing the impact of land use planning on social economic development in Kampala.
Jjemba, Sharif
The objectives of the research were to assess the implications of effective land use planning on
socio-economic development, assess the implications of ineffective land-use planning on
socio-economic development so as to assess the impact of land use planning on economic
development.
This study contains a broad description of the various land use planning patterns and the
importance of land use planning. In order to draw a relationship between land use planning and
socio-economic economic development, the following socio-economic development indicators
were applied i.e. Access to amenities and other social services, standards of living, level of
education, transportation, level of employment, access to green spaces, land and real estate
values, access to emergency services and access to health services.
In this research, 150 questionnaires were used to collect data from 10 well-chosen residential
areas from all the five divisions of Kampala. For every division, one well planned area and a
poorly planned area were chosen as sample areas. A total of 15 questionnaires were used for
each sample area. The data collected was then processed using Microsoft excel and the results
presented and explained in the data analysis chapter. In this chapter, graphs showing a
comparison of socio-economic development indicators for both well planned and poorly
planned areas were plotted. It was discovered that well planned areas had achieved higher
levels of socio-economic development as compared to the poorly planned areas which implies
a positive correlation between physical planning and socio-economic development.
Interviews were carried out with experts from the physical planning and surveying departments
of Kampala Capital City Authority at city hall to get an expert view of the research findings.
This included the challenges faced in the land use planning process and measures employed to
curb the challenges.
In the concluding chapter, challenges from the research are included together with
recommendations of how to improve land use planning process so as to attain higher levels of
socio-economic development.
2019-05-16T00:00:00ZAdaptive predictive neural network for brickwall production rates
http://hdl.handle.net/20.500.12281/17093
Adaptive predictive neural network for brickwall production rates
Okello, Emmanuel
The productivity of brickwork is an important factor in the construction industry, as it directly
affects project timelines and costs. In this study, we investigated the relationship between the
production rate of brickwork and various factors such as wall height, length, crew configuration
and crew rates and area, wall length, height, area built, and the number of masons were the most
influential factors. The data was collected from 30 different construction sites, and the production
rate was measured in terms of square meters of wall constructed and also the square area of walls
plastered per day. We used a Weibull distribution to model the data, as it is well-suited for handling
censored data. The results showed a strong positive linear relationship between the production rate
and wall height, length, and area, indicating that an increase in these factors leads to an increase
in productivity. Furthermore, we developed an artificial neural network (ANN) model to predict
the production rate of brickwork based on these factors, the R-squared value for training,
validation, testing, and overall data instance mapping was 86.8%, 54.7%, 79.5%, and 84.9%
respectively. The model architecture was composed of a neuron-hidden layer combination of 4
hidden layers and 9 neurons with an MSE of 0.053 signifying a 95% model accuracy The findings
of this study can be used to improve the productivity of brickwork in construction projects and
inform decision-making processes.
A research report submitted to the department of Construction Economics and Management in partial fulfillment of the requirements for the award of a degree Bachelor of Science in Construction Management of Makerere University.
2023-06-30T00:00:00Z