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Handling and Quantifying Uncertainty in Dynamical Systems

The ability to conduct fast and reliable simulations of dynamical systems is of special interest to Army operations. Because such simulations can be very complex and involve millions of variables, it can be prohibitive in CPU time to run repeatedly on many different configurations. Reduced-Order Modeling (ROM) provides a concrete way to handle such complex simulations using a realistic amount of resources. However, uncertainty is hardly taken into account. Changes in the definition of a model for instance could have dramatic effects on the outcome of simulations.

High-Order Arbitrary Lagrangian-Eulerian Methods and Model Order Reduction for Plasticity to Simulate Melting and Solidification of Metals During Extreme Events
High-Order Arbitrary Lagrangian-Eulerian Methods and Model Order Reduction for Plasticity to Simulate Melting and Solidification of Metals During Extreme Events

Problems in which solids, particularly metals, start to flow, or deform plastically, are ubiquitous in army applications, including traditional ballistic penetration problems of armor, structural integrity under fire, welding, and additive manufacturing processes.

Ballistic Armor and Underbody Blast Protection
High-Performance Computing Enabled Ballistic Armor and Underbody Blast Protection

Traumatic Brain Injury (TBI) is one of the primary causes of long term disability for the modern soldier. Improving the foam liners in the helmets used on the battlefield can reduce the risk of TBI to U.S. Soldiers.  The objective of this research is the development of computational models for enhanced blast protection of soldiers using ballistic fabric.  Computer simulation of textiles is difficult due to multiple size scales present in such materials.

Implementation, Verification, and Testing of the Microprocessor Architecture
Implementation, Verification, and Testing of the US Army Patented OS Friendly Microprocessor Architecture: A Full System Cycle-Accurate Simulator Verified on an FPGA and a Testing Benchmark Suite

We are proposing to implement, verify and test the US Army patented “OS Friendly Architecture” (OSFA) which enforce hardware isolation of exchanges across shared boundaries in a way that such exchanges will raise hardware traps preventing attacks. We will implement OSFA in a full system cycle-accurate environment, and will verify the implementation via an FPGA implementation using existing open soft cores. As part of the project, we will also develop a benchmark suite that will test the efficacy of the OSFA to prevent the attacks it is designed to thwart.

Dynamic Target Surveillance under Ballistic Threat
Dynamic Target Surveillance under Ballistic Threat

Many of the challenges faced in the battlefield by the Army can be attributed to planning and strategic decision making. Optimal decision making in the battlefield is a complex problem that requires considering other actors, reasoning about uncertainty in how events may play out, and addressing the fact that strategies must be executed using noisy observations of the world.


Reduced Order Modeling for Under Body Blasts
Reduced Order Modeling for Under Body Blasts

The main objective of this research project is two-fold: (1) to develop predictive High Performance Computational (HPC) models for underbody blast and its effects on personnel and vehicles, and (2) to develop nonlinear Model Order Reduction (MOR) methods that are applicable to these and other HPC models in order to enable parametric studies in a reasonable

Algorithms for Underbody Blast and Related Problems
Scalable, Shared and Distributed Memory Algorithms for Computational Solids, Fluids and Geometry

The design of numerical algorithms at the most basic and fundamental levels, leverages mathematics, applied mathematics, and computer science disciplines.  Real-world problems such as studying the effects of underbody blasts on motivate these methods for studying phenomena, such as solid material deformation, plasticity, and fracture, as well as interactions with fluids like air and water.  These algorithms are as applicable to underbody blasts as they are to the design and analysis of ship wakes or to ordnance storage and detonation, wh

Large-scale Data Assimilation
Large-scale Data Assimilation Using Parallel and Cloud Computing

Understanding the evolving state of the nearshore zone, e.g., ocean surface waves and seabed elevation, is crucial to many tactical decisions for naval operations, coastal infrastructure design and management, protection of the hinterland against flooding, shoreline management, and recreational safety. 


Blood Transfusions on the Battlefield and Inhalation of Toxic Agents
Blood for for trauma and inhalation of toxic agents in the lungs

This project has two components.  One component is to study the adhesion of blood platelets to an injured vessel site. This is a critical initial stage for the formation of a platelet plug to stop bleeding.  The second component is to study the deposition of aerosol particles in the lungs to help study the effects of airborne pollutants, and infective and toxic agents.

UNCOVER: Understanding Network data for COnquest against adVERsaries

Network data (e.g., high-level summary data, flow-level data, packet-level data) can be collected by: communicating hosts, switching devices, and stand-alone measurement devices that tap transmission links. This data can be used to identify: communicating entities, types of data being exchanged, intrusions, configuration errors, etc. This project will uncover new network data analytics as well as provide both human and machine interfaces to those analytics.



UC Berkeley, Sibley Auditorium, Bechtel Engineering Center,  May 30-31, 2017 
Organizers: Tarek I. Zohdi (UC Berkeley) and Eric Shaqfeh (Stanford) 

Charbel Farhat has been selected as the winner of the 2016 Japan Society for Computational Engineering and Science (JSCES) Grand Prize, in recognition of his outstanding contributions in the field of computational mechanics. It will be delivered at the Awards Ceremony to be held during the JSCES Congress to be held on May 31 - June 2, 2017 at Omiya Sonic City Hall, Japan.

Charbel Farhat has been selected as one of only two International Fellows with the 2016 class at the Royal Academy of Engineering for "pioneering research contributions in the area of fluid–structure interaction and for the application of this research to the solution of problems in aeronautical, naval, and mechanical engineering, as evidenced by high-impact publications and software developed for use by major industries.”  For more information see:

AHPCRC congratulates Maurizio Chiaramonte who recently won the Robert J. Melosh Medal

Welcome Message
by Charbel Farhat
Welcome to the Army High Performance Computing Research Center. We are a consortium of universities that includes Stanford University as the lead, The University of Texas, El Paso, New Mexico State University, and Morgan State University. We are working in cooperation with the Army Research Laboratory on advancing the field of Computation-Based Engineering Science. Our primary focus is on capabilities and solutions relevant to the technical needs of the U.S. Army. Continue Reading