Composite Materials & Engineering Center Wood Composite Materials

The Wood Composite Materials option provides the student with knowledge in the manufacture of wood-based materials. This option provides the student with background in:

  • Statistical methods
  • Adhesion
  • Polymeric materials
  • Theory and practice of manufacture
  • Characterization of both manufactured and raw materials
  • Final uses of wood-based composites

The following is a sampling of courses that may be included in a plan of study for the materials option:

Selected Courses

CE 436  Design of Timber Structures (3 credits)

  • Engineering properties of wood materials
  • Analysis and design of members, connections, trusses, shearwalls and structural diaphragms
  • Durability and moisture effects on engineered wood products

CE 512  Dynamics of Structures (3 credits)

  • Equations of motion, free vibration, damping mechanisms, harmonic, impulse, and seismic loading
  • Shock and seismic response spectra, time and frequency domain analysis, modal analysis, structural dynamics in building codes

CE 514  Advanced Mechanics of Materials (3 credits)

  • Elastic stress-strain relations
  • Shear center
  • Unsymmetrical bending
  • Curved beams
  • Elastic stability
  • Elastically supported beams
  • Energy methods
  • Thin-plates
  • Shells

CE 531  Probability and Statistical Models in Engineering (3 credits)

  • Engineering applications of probability and statistics
  • Monte Carlo simulation
  • Model estimation and testing
  • Probabilistic characterizations of loads and material properties
  • Risk and reliability analyses

CE 532  Finite Elements (3 credits)

  • Theory of finite elements
  • Applications to general engineering systems considered as assemblages of discrete elements

CE 536  Nondestructive Testing of Structural Materials (3 credits)

  • Principles of nondestructive testing applied to wood-based materials, steel, concrete, and masonry

CE 537  Advanced Topics in Structural Engineering (3 credits)

  • Advanced topics in structural engineering, including elastic stability, plates and shells, and other relevant topics

CE 539 Advanced Design of Timber Structures (3 credits)

  • Engineering properties of wood materials
  • Theory and design of wood composites, connections and load-sharing systems
  • Performance criteria and durability

ME 534  Mechanics of Composite Materials (3 credits)

  • Analysis of micromechanical and macromechanical behavior of composite materials with emphasis on fiber-reinforced composite
  • Prediction of properties
  • Stiffness and strength theories
  • Laminated beams and plates
  • Dynamic behavior
  • Environmental effects

MSE 402  Polymeric Materials (3 credits)

  • Structural characterization, syntheses, and reactions of polymeric materials
  • Relationships between structure and properties
  • Viscoelasticity, deformation and physical behavior of polymers

MSE 546/CE 596  Engineered Wood Composites (3 credits)

  • Theory and practice of wood composite materials, manufacture and development

MSE 547/CE 597 Polymers and Surfaces for Adhesion (3 credits)

  • Physical chemistry of polymers and surfaces needed to understand interface morphology, adhesion mechanisms and bond performance

MATH 440 Applied Mathematics I (3 credits)

  • Partial differential equations
  • Fourier series and integrals
  • Bessel functions
  • Calculus of variations
  • Vector calculus
  • Applications

MATH 443  Applied Probability (3 credits)

  • Axioms of probability theory
  • Random variables
  • Expectation
  • Generating function
  • Law of large numbers
  • Central limit theorem
  • Markov chains

MATH 573  Reliability Theory (3 credits)

  • Statistical concepts
  • Stochastic material strengths and lifetimes
  • Strength vs. safety analysis
  • Reliablility of coherent systems
  • Maintenance models

STAT 412  Biometry (3 credits)

  • Principles and methods of statistical analysis as applied to biological experimentation

STAT 512  Analysis of Variance of Designed Experiments (3 credits)

  • Principles of experimental design and analysis and interpretation of data