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Industrial Perspectives on Computational Mechanics

Timothy Truster, University of Tennessee-Knoxville

Yuri Bazilevs, Brown University

Gianluca Cusatis, Northwestern University

Varun Gupta, ExxonMobil

Haim Waisman, Columbia University

A major aim of computational mechanics is the design of methods and formulations that enable the solution of state-of-the-art mechanics problems. The increasing pace of developments in fields such as materials, manufacturing, medicine, and infrastructure have increased the need for accurate and efficient prediction of the behavior of complicated systems. However, many pitfalls exist between the basic science research in academia and technology transfer to problem solving by industry and other end users.
Therefore, this symposium seeks both to present successful collaborations between industries, national laboratories, and academia on challenging real-world problems as well as to showcase underexplored or emerging problems or paradigms in industry upon which computational mechanics could have an influence. Presentations from industrial researchers, academics consulting on industry projects, software vendors, and end users will expose best practices and spark new ideas for effective collaboration on multidisciplinary and convergent research. An interactive panel session is planned for concluding the symposium.
Areas of interest include, but are not limited to:
Coupled physics problems 
Multiscale problems: materials and structures, scale bridging, process-structure models, structure-performance models
Challenging geometry and evolution: Thermomechanical forging, friction stir welding, impact and fragmentation, hard-soft body contact mechanics
Problem solving with limited resources (memory, processors, execution time, reference data)
Reliability and resilience, uncertainty quantification, design optimization, parameter calibration
Data driven, machine learning, and reduced-order modeling approaches in industry
Software development considerations: algorithm scalability, non-intrusive code adoption, etc.
New computing platforms: cloud computing, GPU, mobile computing