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Course Criteria
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0.00 - 4.00 Credits
Under the direction of a faculty member, each student carries out independent study. Prior to course registration, students must complete a departmental Graduate Independent Study form that describes the work being undertaken, and have the form approved by the supervising faculty member and the Director of Graduate Studies.
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0.00 - 4.00 Credits
Under the direction of a faculty member, each student carries out independent study. Prior to course registration, students must complete a departmental Graduate Independent Study form that describes the work being undertaken, and have the form approved by the supervising faculty member and the Director of Graduate Studies. Usually taken in the Spring semester.
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0.00 - 4.00 Credits
During the third semester, each student writes a research paper under the direction of a faculty member.
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0.00 - 4.00 Credits
A continuation of CEE 509. Each student carries out research, writes a report and presents the research results. Doctoral candidates must complete this course one semester prior to taking the general examination. Grading of the course will be 25% oral presentation and 75% submitted work.
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0.00 - 4.00 Credits
The design of bridges is considered from the conceptual phase up to the final design phase. The following issues are addressed in this course: types of bridges, design codes, computer modeling of bridges, seismic analysis and design, seismic retrofit design, inspection, maintenance and rehabilitation of bridges, movable bridges, bridge aerodynamics, organization of a typical engineering firm, marketing for engineering work. Several computer codes are used in this course.
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0.00 - 4.00 Credits
Basic concepts of matrix structural analysis. Direct stiffness method. Axial force member. Beam bending member. Formation of element stiffness matrix. Assembling of global stiffness matrix. Introduction of boundary conditions. Solution of linear algebraic equations. Special analysis procedures. The finite-element method. Introduction. Basic formulation. Plane stress and plane strain problems. Plate bending problems. The use of structural analysis and finite-element computer codes is emphasized throughout the course.
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0.00 - 4.00 Credits
Course covers 1) Introduction: the continuous medium; essential mathematics-scalars, vectors, tensors, indicial notations, transformations. 2) Basics: stress, strain and deformation; components, principal axes, tensors; 2D and 3D cases. 3) General principles: conservation of mass, continuity equation, momentum principal, motion and equilibrium, energy balance, constitutive equations: needs and axioms; ideal materials, elasticity, isotropy, plasticity, viscoelasticity and thermoelasticity. and 4) Applications: theory of elasticity, fluid mechanics.
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0.00 - 4.00 Credits
The course looks at the most inventive structures and technologies, demonstrating their use of form finding techniques in creating complex curved surfaces. The first part introduces the topic of structural surfaces, tracing the ancient relationship between innovative design and construction technology and the evolution of surface structures. The second part familiarizes the student with membranes(systems, form finding techniques,materials and construction techniques) The third part focuses on rigid surfaces. The fourth part provides a deeper understanding of numerical form finding techniques.
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0.00 - 4.00 Credits
Fundamentals of integrated risk assessment and risk-based decision analysis. Stochastic models of natural and manmade hazards. Evaluation of failure chances and consequences. Decision criteria; acceptable risk. Risk control based on event tree, fault tree, system reliability, and random processes in space and time. Issues in risk-based regulation, liability, and insurance. Case studies involving energy-related technologies, the environment, civil infrastructure, and financial risk.
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0.00 - 4.00 Credits
Synthesis of methods to describe, analyze, and, where appropriate, predict and control random fields or distributed disordered systems. Second-order analysis of space-time processes. Spectral parameters, level excursions, and extremes. Discrete-unit stochastic processes. Fractal and multi-scale random fields. Simulation, parameter estimation, prediction, and optimal sampling. Stochastic growth processes applications to a wide range of problems in engineering and the sciences. Lectures and guided self-study with a term project.
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