Computational Mechanics Group
The rapid advancement of powerful computing hardware has fueled the development of numerical models that are capable of simulating detailed physical and chemical processes. In fact, the results of accurate simulation tools are now replacing some laboratory experiments in many scientific disciplines. The Pacific Northwest National Laboratory (PNNL) has invested in state-of-the-art computing hardware and computational science and engineering technologies that have enabled the Laboratory to emerge as a leader in computational engineering research.
PNNL engineering work has encompassed research in nuclear reactor vessel integrity and the development of simulation tools for optimizing aluminum structures beginning in the mid-1980s and early 1990s. Additional research has focused on nonmetal structures and hybrid materials (including multifiber thermoplastics) in the latter 1990s and early 2000s. Current areas of development include modeling fuel cell performance and the filtration of particulate emissions. In the near future, modeling and process simulation will include high-performance and web-based computing. Capitalizing on its history and investment, PNNL is initiating industry-led work in
Individual fuel cell layers (right) are stacked in series to produce the needed voltage. PNNL is working with DOE's Solid State Energy Conversion Alliance Core Technology Program to create a solid oxide fuel cell power generation system by 2010 that can be mass produced in modular form for less than $400 per kilowatt, installed.
- Emissions Overview
- Emissions Website
- Fuel Cell Design and Analysis
- Materials and Manufacturing
- Structural Reliability
Computational Mechanics Signature Capability
We provide state-of-the-art simulation and modeling solutions to the industrial challenges in manufacturing lightweight vehicles and structures, vehicular air pollutant formation and controls, and energy and fuel storage devices by combining advanced computational strategies with the scientific and engineering expertise of our staff. We engage researchers from a variety of fields to create the mathematical models and databases that describe a material response to an external environment.