Ghiocel Predictive Technologies, Inc.

6 South Main Street, 2nd Floor
Pittsford, NY 14634
http://www.ghiocel-tech.com
8 Employees

SBIR Award Summary

Total Number of Awards 5
Total Value of Awards $1.8MM
First Award Date 12/12/03
Most Recent Award Date 11/16/07

Key Personnel

Last Name Name Awards Contact
Ghiocel Dr. Dan M. Ghiocel 4 Message
Com Dr. [email protected] Com 1 Message

5 Awards Won

Phase 2 SBIR

Agency: Army
Topic: A06-224
Budget: 11/16/07 - 11/16/09

The proposed work will provide a complete vehicle reliability prediction approach and tool. The proposed approach integrates in a high-performance computing environment last advances in engineering analysis and stochastic modeling. It uses fast stochastic physics-based model simulation, including advanced finite element and progressive damage mo...

Phase 1 SBIR

Agency: Army
Topic: A06-224
Budget: 11/20/06 - 09/20/07

GP Technologies, Inc. proposes an innovative vehicle reliability approach for military vehicle that employs the most recent advances in engineering and numerical analysis software using high-performance computing. The proposed reliability approach uses a fast stochastic physics-based model simulation, including finite element and progressive dam...

Phase 1 SBIR

Agency: Air Force
Topic: AF05-189
Budget: 03/31/05 - 03/31/06

GP Technologies, in response to the critical need produced by the new ENSIP requirements for engine probabilistic design, with the support of Pratt $Whitney, GE Aircraft Engines and STI Technologies, proposes the development of a prototype software that will be the basis of A Graphically-Assisted Probabilistic Design System (GAPDS) for aircraft ...

Phase 2 SBIR

Agency: Army
Topic: A03-226
Budget: 10/15/04 - 10/15/06

With the current tight monetary constraints placed on the US military there is a continuous need to reduce the cost of ownership of the Army ground vehicles. The consideration of uncertainty and design optimization is critical for designing high-performance, reliable, cost-effective Army combat vehicles. The proposed work develops an adequate co...

Phase 1 SBIR

Agency: Army
Topic: A03-226
Budget: 12/12/03 - 06/11/04

The main objective of this project is to develop an efficient stochastic-optimization approach that can be applied to large-scale high-complexity Army military vehicle applications in a high-speed distributed computer hardware environment. Specifically, the proposed work will integrate the refined stochastic response models (stochastic field exp...