Ghiocel Predictive Tech

4 S Main St
Pittsford NY 14534

Sponsored Topics

See a problem? Let us know!
GP Technologies, Inc is a small business corporation that is specialized in computational mechanics, uncertainty modeling and risk prediction for large-scale complex engineering applications. GP Technologies has accumulated an engineering experience of more than fifty years in the area of computational stochastic mechanics, statistical modeling and structural risk prediction. Most of GP Technologies research projects are related to engineering projects on the application of advanced computational mechanics modeling and state-of-the-art reliability prediction tools to aircraft, ground vehicle and nuclear facility structural systems analysis. GP Technologies staff has significant engineering experience in performing seismic soil-structure interaction analysis of nuclear-safety related structures for structural design or safety margin and probabilistic risk assessment reviews. GP Technologies has research collaborative work with Cornell University on advanced stochastic modeling, University of California at Berkeley on high-performance computational mechanics and University of Iowa CCAD on reliability-based design optimization of complex vehicle systems. GP Technologies participates with an exhibition booth at the USAF Turbine Engine Technology Symposium, Dayton OH, Sept. 8-11, 2008. Please click here to see GP Technologies booth A Demo version of the GEOMIS software that can run limited size turbine bladed-disk models is available to industry for testing. Please contact us GEOMIS GP Technologies received a contract award from Westinghouse Corporation to support the development a new generation of seismic soil-structure interaction software for solving large-size finite element applications using high-performance computing applicable to the design of the AP1000 NPPs including stochastic motion spatial variation aspects. GP Technologies started a new academic collaboration with University of Wisconsin on vehicle reliability prediction. This is a part of a recent awarded research project by US Army. Position of Adjunct Professor, Case Western Reserve University, Structural Engineering Group, CV 2003. Click here