Building Engineering

Infrastructure Protection
A fully integrated protection scheme is necessary to efficiently implement an Infrastructure Resilience Plan to assure operational survival following a catastrophic event. Building on the first principles of security integration and fortifications practice, illustrated with case studies through history, the students explore site security surveys, different tools, mitigation methods and models in common use and the assumptions and technology behind them in order to make informed decisions on how to approach and solve an infrastructure protection problem for the full range of event types. This is then practised in partnership with industry, analysing real security integration issues for real clients, to whom the students will present their protection schemes. More info

Geotechnical Engineering II
Building on CME321, more complex aspects of geotechnical analysis and design are considered. Topics include: mineralogy; soil identification and classification; laboratory- and field-based soil index tests; correlations of index test results to engineering properties; vertical stress distribution; soil-foundation interaction; volume change and consolidation of clay and settlement. Shear strength of soil and slope stability analysis are also discussed. Laboratories are held for soil identification and classification, and confined triaxial compression tests of clay and sand.

View full course description in the Engineering Undergrad Academic Calendar.

Reinforced Concrete II
This course covers the behaviour and ultimate strength of reinforced concrete structures. Members subjected to flexure, axial load, shear and torsion are treated. Detailing of reinforcement, the design of floor systems and the design of shear walls are covered. An introduction to the seismic design of reinforced concrete structures is made. Emphasis is given to the relationship between recent research results and current building codes. A brief treatment of the behaviour and design of masonry walls is included.

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Concrete Technology
Material aspects of concrete production will be dealt with in the context of various performance criteria with emphasis on durability. The process of material selection, proportioning, mixing, transporting, placing and curing concrete will be the framework within which topics such as: the use of admixtures, choice of cements, environmental influences, methods of consolidation and testing techniques will be studied.

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Urban Activity, Air Pollution and Health
This is an interdisciplinary course where the challenge of air pollution is introduced with a focus on urban areas. The interdependencies between transportation, air quality, and health are demonstrated. The city and the behaviour of its inhabitants constitute the context for the following course topics: overview of air pollutants in urban areas, urban air quality monitoring networks, mobile source emissions, air pollution and meteorology, atmospheric dispersion, chemical processes specific to cities, personal mobility and exposure to traffic-related air pollution, epidemiology of air pollution.
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Sustainable Buildings
Building systems including the thermal envelope, heating and cooling systems, as well as water and lighting systems are examined with a view to reducing the net energy consumed within the building. Life-cycle economic and assessment methods are applied to the evaluation of various design options including considerations of embodied energy and carbon sequestration. Green building strategies including natural ventilation, passive solar, photovoltaics, solar water heaters, green roofs and geothermal energy piles are introduced. Following the application of these methods, students are introduced to efficient designs including LEED designs that lessen the impact of buildings on the environment. Exemplary building designs will be presented and analyzed.

Prerequisite: CIV375H1/CIV575H1 or equivalent.

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Design of Building Enclosures
A brief summary of the science involved in controlling heat, moisture and air movement in buildings is presented at the outset of the course. With this background, methods of designing enclosures for cold, mixed, and hot climates are examined. Design principles related to the design of walls, windows and roofs are presented and applied. In particular, topics related to the control of rain penetration, air movement, and interstitial condensation are studied in detail. Emphasis is placed on developing designs based on fundamentals which can be verified with computer modelling solutions.


Prerequisite: CIV375/CIV575 or equivalent.
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Advanced Topics in Building Design
Introduction to various structural systems; analysis of coupled shear walls using various techniques such as Laminar method, Finite difference formulation, Equivalent Frame method; stagewise incremental analysis of walls including plastification of laminae; design of walls and coupling beams; shear wall-frame interaction; behaviour of framed tubes; shear lag in tubes; approximate methods of analysis for frame tubes and multi-storey frames. Individual projects involving specialized topics will form an integral part of the course.

Concrete Technology and Non-Destructive Testing Principles
This course is focused on theory, principle, practical application, standardization, benefits, and limitations of non-destructive testing (NDT) methods applied to steel reinforced concrete. Techniques to be covered include: condition assessment, surface hardness, penetration resistance, pullout, break-off test, maturity method, pull-off permeability, resonant frequency, UPV, magnetic/electrical, radioactive/nuclear, short pulse radar, acoustic emission, infrared thermography. A review of the role of statistics in experiments, testing and design of experiments in addition to application of significance testing, linear regression analysis and assessment of adequacy of regression models in context with non-destructive techniques will be covered. This course will also include the study of practical case studies and hands on usage of selected NDT testing equipment.

Instrumentation Techniques for Cement and Concrete Researchers
The study of Concrete Technology makes use of many test methods not normally associated with Civil Engineering. Methods include those for pore structure and surface area by BET; mercury porosimetry; permeability to vapour, gas and liquids; mineralogy by optical microscopy x-ray diffraction and thermal analysis; microstructure by optical and electron microscope; and chemical analysis by XRF, AA, IR, IC or neutron activation. Published literature will be discussed with respect to differences in such procedures, and interpretation of data.

Prerequisite: CIV514H1 or equivalent.

Chemistry of Cements and Concrete


Prerequisite: CIV 514H
Chemistry of Cements and Concrete

Construction Modelling Methods
Course Objectives In this course, students will learn ways in which data can be modeled in the application of construction management: probabilistic and process.

• Probabilistic models (Bayesian Networks) – students will learn about BNs, understand the way in which they model data, their strengths and shortcomings, and their application in a construction context. Students will be expected to use MSBNx software (freely available)


• Simulation modeling – students will learn how discrete event simulation engines work. They will learn to build a model for a construction operation, understand their strengths and shortcomings, and process input and output data.

Asset Management: Frameworks and Processes

Special Studies in Civil Engineering - Building Information Modelling
Description:
The course is designed to provide students with both hands-on experiences on BIM applications and research exposure to advanced BIM topics. It introduces the basic principles of BIM in most application areas including design, construction, facility management, and sustainability. Hands-on skills required for generating building information models are covered through the use of popular BIM tools. Current research topics and trends of BIM are explored to understand better their impacts to the future of the AEC industry.
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Special studies courses are offered when a Professor is available to instruct on a new or unusual topic. Each topic offered constitutes one normal half-course. Special studies course codes may be taken more than once provided that the topic is different each time.

Special Studies in Civil Engineering - Building Information Modelling
Rationale:

Advanced practices in construction project management are enabled by several fundamental shifts. The course will explore the interplay between two of the most significant shifts. First, smart hardware (from virtual reality to robotics and IoT), which are transforming site technology and construction methods. Second, and probably more importantly, advanced data analytics and the use of machine learning are revolutionizing work processes and decision making.

The effective adoption and use of these advanced systems hinge on the use of equally advanced informatics systems. With BIM becoming a stable technology, we now have a more sizable and reliable data corpus. This is encouraging researchers and the industry to embrace advances in artificial intelligence such as data analytics and machine learning systems.

The interplay between these two domains is what enables the automation of work tasks and the deployment of business intelligence tools. Students will explore the state-of-the-art tools in both domains. They will study the fundamental assumptions, emerging technologies, and data models that enable the effective implementation of smart hardware and data analytics in construction. The students will examine the means to design and manage virtual construction systems in an effective way.

Ultimately, the course is designed to enable students to question normative thinking practices that have dominated research and technology in the construction industry. They will interactively develop their own synthesis of the fundamental paradigm shifts in knowledge modeling that enables the development and effective use of virtualization and analytics systems in design and construction.
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Special studies courses are offered when a Professor is available to instruct on a new or unusual topic. Each topic offered constitutes one normal half-course. Special studies course codes may be taken more than once provided that the topic is different each time.

Special Studies in Civil Engineering - Asset Management
This course presents a number of quantitative tools and analytical methods for the asset manger. Topics covered include data modeling and management, stochastic and deterministic models for asset deterioration, models for optimal asset repair/replacement decisions, tools for asset risk assessment, multi criteria decision making models in the context of asset management problems, infrastructure resiliency and adaptation for climate change. Two guest lecturers will be invited to present current practices and emerging trends. A course project will involve the application of tools and methods presented in class on actual infrastructure data sets.
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Special studies courses are offered when a Professor is available to instruct on a new or unusual topic. Each topic offered constitutes one normal half-course. Special studies course codes may be taken more than once provided that the topic is different each time.

Large Scale Infrastructure and Sustainability

The next 15 years will see major changes in the global infrastructure system. To meet local, national and international sustainability goals, this next generation of infrastructure must be planned, designed and built in new ways. Large scale infrastructure projects have impacts well beyond their stated primary purpose: they consume significant amounts of natural resources and, once built, change how we live, work and move. As key players in planning, designing, constructing and commissioning large infrastructure projects, engineers have a special responsibility to understand the myriad ways infrastructure interacts with our natural and social systems. This course will explore what sustainability means in the context of infrastructure development, examine infrastructure needs and sustainability at the global and project scale, and provide students with skills and techniques to have an impact on infrastructure sustainability in their future work. At the end of this course, students will be able to think critically about the wider impacts of large-scale infrastructure projects and use this knowledge alongside their technical engineering skills to develop better outcomes. Students will learn approaches and skills for analysing (and influencing) the sustainability of infrastructure systems at the project and system scale.

Alternative Energy Systems
This courses covers the basic principles and design of selected alternative energy systems. Systems discussed include solar thermal systems, solar photovoltaic, wind technology, fuel cells, and energy storage.

Pre-requisites: MIE210H, MIE312H and some knowledge of chemistry, or equivalent courses

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Statistical Models in Empirical Research
This course covers various statistical models used in empirical research, in particular human factors research, including linear regression, mixed linear models, non-parametric models, generalized linear models, time series modeling, and cluster analysis. For various observational and experimental data, students will be proficient in generating relevant hypotheses to answer research questions, selecting and building appropriate statistical models, and effectively communicating these results through interpretation and presentation of results. Basic knowledge in probability, statistics, and experimental design is required. The course will not focus on the design of experiments. In addition to homework assignments and exams, the students will review and critique journal articles and conference papers for the validity of the use of various statistical models. The students will work on a term long project of their choice and will be encouraged to relate this assignment to their current research projects. The examples used in class and the assignments will be drawn from human factors research. However, the students will not be required to use human factors data for their project. More Info