Course subject: Civil Engineering (CIVE)

This course deals with the behaviour of reinforced concrete structures, the analysis of such structures, and the background for the design standards. Topics include the analysis of reinforced concrete structures, shear in reinforced concrete members, members in bending and axial loading, and connections.

Historical review and basic concepts of structural optimization. Linear and nonlinear programming applications. Approximation concepts. Sensitivity analysis. Optimality criteria methods. Historical review and basic concepts of knowledge-based expert systems. Rule-based structural design. Complex and large-scale structural systems.

The concept and theoretical basis of the finite element method are presented as a logical extension to solid body stress analysis of the matrix methods applied to structural frames. Students will develop and use software to analyze representative two- and three-dimensional problems. Introduction of other field problem applications included.

Urban transportation planning models. land use transportation interaction, trip production and attraction, trip distribution, mode choice, tree building and capacitated and uncapacitated route assignment, aggregate and disaggregate model analysis.

This course will focus on the fundamentals of pavement design, construction and management systems. Structural behaviour of flexible and rigid pavements will be discussed in detail. Other topics covered in the course will include: testing of pavement materials including aggregates, asphalt, concrete and various other specialized pavement materials, pavement distresses such as fatigue, rutting and temperature related cracking and the key elements to pavement management systems and their operation. Theoretical principles are combined with practical examples of working systems that enable students to carry out various analyses of hypothetical and real life situations.

Principles and elements of the design and analysis of earth dams and embankments. Field exploration; laboratory tests; design requirements; seepage control; methods of stability analysis for circular and non-circular slip surfaces; computer applications; stability coefficients. Introduction to dynamic (earthquake) analysis; soil liquefaction; tailings disposal systems. Stability of natural slopes and cuts.

Principles and design of physico-chemical processes for effecting water quality transformations in water. Process dynamics, reactions and reactors. Filtration, coagulation, flocculation adsorption and ion exchange. Membrane processes including reverse osmosis, electrodialysis and ultrafiltration. Principles of aeration and gas transfer, disinfection solid liquid separation and sludge handling.

This course covers a variety of mathematical concepts and methods needed to develop deterministic models of water and environmental systems governed by ordinary and partial differential equations, including analytical and numerical solution of ODEs/PDEx using Laplace and Fourier transforms, Green's functions, superposition, finite difference methods, finite element methods, complex variable theory, eigenmethods, vector calculus, separation of variables, Sturm-Liouville theorem and others.

Multipurpose nature of water resouces planning and operational problems - cost and benefit variations in water resouces and conditions for project optimality. Optimization techniques - linear programming, dynamic programming, non-linear optimization - water management examples. Capacity expansion problems and long-term planning problems - short-term operation problems - operations decisions for power generation, flood control and irrigation releases as examples - multi-objective analysis models. Simulation of water resouce systems. Introduction to stochasti optimization of water resource systems.

Review of continuity, energy and momentum equations, resistance to flow in open channels. Gradually varied unsteady flow equations and kinematic wave approximation. Sediment transport equations and channel stability. Similitude of scale models, including distortion effects, laboratory techniques, and case studies.

Covered in this course are the major topics relating to the behaviour and design of cold formed steel structural elements and members. More specifically, the following topics will be addressed from a theoretical and design point of view: local buckling of compression elements subjected to uniform stress and stress gradient; design of flexural members, compression members, beam-columns, composite steel deck slabs and connections; diaphragm design and lightweight steel framing. The governing Canadian CSA Standard S 136 will be used as a guide document.

This course deals with the science of heat and air flow, moisture storage and transport, and psychrometrics. Through the use of worked examples, these principles are applied to the analysis of typical building enclosure systems. Basic concepts are developed for the design of building details that are effective in the control of heat, air, vapour, rain, and that accommodate building movements. Various case studies of problems and solutions will be used.

This course addresses the design of new concrete infrastructure from a durability perspective. Durability design is approached as a process of assessing forms and severity of attack on a concrete structure, and providing the necessary resistance to those forms of attack. The course begins with a discussion of durability design as a limit state and an introduction to concrete material science. Specific durability topics include corrosion of metals in concrete, sulfate attack, freezing and thawing damage and alkali-aggregate reactions. Each durability topic is discussed in terms of exposure conditions, mechanisms of attack, influencing factors and protection methods.

This course deals with the application of computerized tools to develop decision-support systems to effectively manage time, money, and resources associated with construction projects. It covers: introduction to computer tools, review of the CPM method and project management software, optimization using Excel Solver, Expert Systems, Neural Networks, OOP programming, Genetic Algorithms, process modeling and simulation, multi-criteria decision-making, integrated project Management tools, networking, workgroup management, Internet, dealing with project uncertainty using Monte-Carlo simulation, various case studies and computer workshops.

This course will focus on the fundamentals of infrastructure management for civil engineering. It will integrate design, construction, maintenance, rehabilitation and renovation with management procedures and systems. A framework for asset management including the importance of asset valuation, needs assessment, and performance indicators will be discussed in detail. Other topics covered in the course will include: sustainability concepts, decision support systems, database management, role of data in infrastructure management, monitoring and evaluation needs, failure analysis, quality management, economics and life cycle cost analysis and optimization. This course will combine theoretical principles with practical application. The course will include practical examples of engineering systems and will provide a basis for subsequent infrastructure management courses.

Cash flows, Interest calculation, evaluation of mutually exclusive alternatives, evaluation of user benefits, pricing strategies, cost-effectiveness, ranking alternatives, financing options, decision making under uncertainty. Use of prior information in decision-making.

The focus of this course is on the use of quantitative techniques of operations research to analyse and solve transportation network problems arising in the planning, design, operation and management of urban transportation systems. Topics include an introduction to urban transportation systems and transportation network problems; graph theory including basic concepts, network representation, elementary data structures and algorithms; representation and coding of transportation networks for different applications; optimal and heuristic shortest path algorithms and applications; formulation and solution algorithms of traffic network assignment problems; fleet vehicle routing and scheduling problems and algorithms.

This course provides an overview of the travel forecasting problem. The course begins with defining the objectives of the problem, and reviews the weaknesses of the traditional 4-step procedure. A general formulation of the travel forecasting problem is stated. An integrated mathematical forecasting model is derived, in which the traffic assignment, mode choice and origin destination steps are solved simultaneously. Traditional solution algorithms including Frank Wolfe, Dijkstra and Evans are presented; a more robust algorithm for the traffic assignment problem is introduced. Potential extensions to the model are pursued. Alternate model formulations are also described including activity based and combined land use - transportation models.

Over the past ten years, a new group of construction methods, known as trenchless technologies, has gained widespread acceptance. Trenchless technologies include methods for installing and rehabilitating underground utility systems with minimal surface disruption and destruction that results from excavation. Underground utility systems include: water and wastewater distribution and collection systems; gas, petroleum and chemical pipelines; electrical and communications networks; access ways; and other small diameter tunnels used for a variety of applications. The objective of this course is to introduce trenchless technology methods and their importance in public works, pipeline construction, and rehabilitation. Students will be exposed to new topics and concepts through class lectures, specified readings, guest presentations, field trips, student seminars, and the completion of assignments. Topics to be covered include horizontal directional drilling, microtunneling, pipeline assessment, pipe bursting, and pipeline rehabilitation and renewal techniques.

The analyses of natural and/or manmade environmental systems commonly lead to quantitative descriptions, or mathematical models, of the underlying chemical, biological and physical processes. Numerical models are used for complex situations that may involve spatial variability of material properties, non-uniform geometry, and transient boundary conditions. The objective of this course is to introduce you to theoretical and practical aspects associated with numerical methods for environmental applications. Topics include: review of field equations, conservation laws, and continua; classification of PDEs; types of boundary and initial conditions; finite difference method, error analysis and stability; equation solvers; weighted residual techniques; finite element method; introduction to the finite volume method; techniques for advective dominated flows; sensitivity methods; and the solution to coupled non-linear equations.

This course provides an introduction to the study of biofilms found in oligotrophic environments (e.g., groundwaters, natural waters and drinking water) and in wastewater systems. Topics include: biofilm structure and composition, concepts of attachment and detachment, substrate utilization and transformation, mass transfer, uptake, control measures, biofilm process analysis, and biofilm modeling. Presentation and discussion of several case studies will be included.