Wood Structural Engineering

The Wood Structural Engineering option provides the student with knowledge in the analysis and design of wood structures. This option provides the student with a background in wood and wood-based materials, codified design procedures, design and detailing of wood structures, statistical methods, and basic structural analysis. The following is a sampling of courses that may be included in a plan of study for the structures 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, and 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 538  Earthquake Engineering.  3 credits.
Seismology, size of earthquakes, seismic ground motion, seismic risk, behavior of structures subjected to earthquake loading seismic response spectra, seismic design codes, lateral force-resisting systems, detailing for inelastic seismic response.

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; reliability 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.