ME 338B: Continuum Mechanics
Constitutive theory; equilibrium constitutive relations; material frame indifference and material symmetry; finite elasticity; formulation of the boundary value problem; linearization and wellposedness; symmetries and configurational forces; numerical considerations.
Terms: alternate years, given next year

Units: 3

Grading: Letter or Credit/No Credit
ME 339: Introduction to parallel computing using MPI, openMP, and CUDA (CME 213)
This class will give hands on experience with programming multicore processors, graphics processing units (GPU), and parallel computers. Focus will be on the message passing interface (MPI, parallel clusters) and the compute unified device architecture (CUDA, GPU). Topics will include: network topologies, modeling communication times, collective communication operations, parallel efficiency, MPI, dense linear algebra using MPI. Symmetric multiprocessing (SMP), pthreads, openMP. CUDA, combining MPI and CUDA, dense linear algebra using CUDA, sort, reduce and scan using CUDA. Prerequisites include: C programming language and numerical algorithms (solution of differential equations, linear algebra, Fourier transforms).
Terms: Spr

Units: 3

Grading: Letter or Credit/No Credit
Instructors:
Darve, E. (PI)
;
Elsen, E. (PI)
ME 340: Theory and Applications of Elasticity
This course provides an introduction to the elasticity theory and its application to material structures at microscale. The basic theory includes the definition of stress, strain and elastic energy; equilibrium and compatibility conditions; and the formulation of boundary value problems. We will mainly discuss the stress function method to solve 2D problems and will briefly discuss the Green's function approach for 3D problems. The theory and solution methods are then applied to contact problems as well as microscopic defects in solids, such as voids, inclusions, cracks, and dislocations. Computer programming in Matlab is used to aid analytic derivation and numerical solutions of elasticity problems.
Terms: not given this year

Units: 3

Grading: Letter or Credit/No Credit
ME 342: Theory and Application of Inelasticity
Theories of plasticity and fracture phenomena from both phenomenological and micromechanical viewpoints. Yield surface, flow rules, strain hardening models, and applications to creep. Plastic zone near crack tip. Linear fracture mechanics and other criteria for crack initiation and growth. Application to fatigue. Classical analytic solutions will be discussed together with numerical solutions of plane elastoplatic problems by Matlab.
Terms: not given this year

Units: 3

Grading: Letter or Credit/No Credit
ME 342A: Mechanobiology and Biofabrication Methods (BIOPHYS 342A)
Review of current cell mechanobiology topics and methods for controlling and assessing the biomechanics of living systems. Practice and theory of design and fabrication of devices for cell mechanobiology. Limited enrollment. NOTE: Compressed schedule starts 7/21 with Tu/Th lecture 1012 in Weeks 1 and 3, and labs 95 (with lunch break) in Weeks 2 and 4.
Terms: Win, Sum

Units: 3

Grading: Letter or Credit/No Credit
Instructors:
Pruitt, B. (PI)
ME 342D: MEMS Fabrication/Projects
Emphasis is on process planning, in process testing, nanofabrication training, exposure to MEMS industry applications. Prerequisite:
ENGR 341
Terms: not given this year

Units: 13

Grading: Letter or Credit/No Credit
ME 345: Fatigue Design and Analysis
The mechanism and occurrences of fatigue in service. Methods for predicting fatigue life and for protecting against premature fatigue failure. Use of elastic stress and inelastic strain analyses to predict crack initiation life. Use of linear elastic fracture mechanics to predict crack propagation life. Effects of stress concentrations, manufacturing processes, load sequence, irregular loading, multiaxial loading. Subject is treated from the viewpoints of the engineer seeking uptodate methods of life prediction and the researcher interested in improving understanding of fatigue behavior. Prerequisite: undergraduate mechanics of materials.
Terms: Win

Units: 3

Grading: Letter (ABCD/NP)
Instructors:
Nelson, D. (PI)
ME 346A: Introduction to Statistical Mechanics
The main purpose of this course is to provide students with enough statistical mechanics background to the Molecular Simulations classes (
ME 346B,C), including the fundamental concepts such as ensemble, entropy, and free energy, etc. The main theme of this course is how the laws at the macroscale (thermodynamics) can be obtained by analyzing the spontaneous fluctuations at the microscale (dynamics of molecules). Topics include thermodynamics, probability theory, information entropy, statistical ensembles, phase transition and phase equilibrium. Recommended:
PHYSICS 110 or equivalent.
Terms: not given this year

Units: 3

Grading: Letter or Credit/No Credit
ME 346B: Introduction to Molecular Simulations
Algorithms of molecular simulations and underlying theories. Molecular dynamics, time integrators, modeling thermodynamic ensembles (NPT, NVT), free energy, constraints. Monte Carlo simulations, parallel tempering. Stochastic equations, Langevin and Brownian dynamics. Applications in solids, liquids, and biomolecules (proteins). Programming in Matlab.
Terms: not given this year

Units: 3

Grading: Letter or Credit/No Credit
ME 346C: Advanced Techniques for Molecular Simulations
Advanced methods for computer simulations of solids and molecules. Methods for longrange force calculation, including Ewald methods and fast multipole method. Methods for free energy calculation, such as thermodynamic integration. Methods for predicting rates of rare events (e.g. nucleation), including nudged elastic band method and umbrella sampling method. Students will work on projects in teams.
Terms: not given this year

Units: 3

Grading: Letter (ABCD/NP)
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