The Wood Structural Engineering option provides the student with knowledge in the analysis and design of wood structures. This option provides the student with 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, 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; 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.