Dr. Larry M. SilverbergFaculty
Silverberg is interested in dynamic system modeling and algorithm development for autonomy, design, and exploration.
One of the challenges that faces engineering is with modelling that systematically integrates disciplines (mechanical, electrical, and thermodynamic), scale (small and large), and phase (gaseous, liquid, and solid states). Another challenge that faces engineering is with algorithm development for non-physical processes, like for autonomous operation, design, and exploration. If interested in dynamic system modelling and algorithm development, see the project list at the bottom of this page and feel free to contact me for more information.
The 1st ongoing project, which is being led by Chad Beiber (Phd candidate), is concerned with advancing autonomous flight. The goal is to demonstrate an autonomous architecture whereby a single operator can control 25 or more unmanned aerial vehicles, breaking the record of 14 unmanned aerial vehicles. Support for the project is provided by BlueForce Technologies, Inc.
The 2nd ongoing project, being led by Andy Meyers and Thomas Powers (PhD candidates). is to advance real-time learning algorithms for motion control of multi-body systems. This is currently a self-funded project.
The 3rd ongoing project deals with developing computer-aided design/exploration tools for the early engineering education. The goal is to develop CAD apps for core classes in the AE and ME curricula (statics, dynamics, thermodynamics, solids, heat transfer, and vibration). This is a joint project with Drs. Eischen and Batastilli, funded by MATHWORKS, with development work performed by Will Morrows, Sean MacGurie, and Konner White.
The 4th onging project, which is being performed by undergraduate students and directed by me and Dr. Chau Tran, studies the dynamics of basketball. Through the simulation of millions of trajectories, the goal is to understand best practices in shooting, like of the free throw and the bank shot.
Dr. Silverberg teaches MAE 513 Principles of Structural Vibration. The course starts with classical analyses and then turns to a modern treatment aimed at providing students with the tools needed to solve complex vibration problems. At the undergraduate level, he teaches MAE 208 Engineering Dynamics. He is also currently developing a new undergraduate mechatronics course - with an emphasis placed on hands-on, self-directed learning.
Outside of work, Dr. Silverberg enjoys basketball and spending time with family and friends.
Project List - Applied Reseach
1. About Autonomous Systems: In these projects the students develop algoriths that enhances autonomy. They include:
(a) algorithms that allow a single user to operate a system of flight vehicles,
(b) algorithms for auto- and dynamic soaring,
(c) learning algorithms for articulated systems.
2. About Exploration Apps for Early Engineering: In these projects the student develops a discipline-specific computer app for early STEM (sciecne, technology, engineering, and mathematics). The tools are for classroom use at the sophomore and junior levels. They are used to check answers, solve more complex problems than can be solved by hand, and overall to provide a exploratory platform for improved learning and design. Several of the discipline-specifc computer apps are listed below:
(a) Rigid-body collisions app, (b) Potential flow app, (c) Thermal expansion feature in truss and frame apps, (d) Deformation feature in potential flow app (aeroelasticity), (e) Electrostatics app, (f) Electromagnetics app, (g) circuitry app, (h) Radiation feature in truss and frame apps
Project List - Basic Reseach
1. About scale: Where does the particle scale end and where does the thermal scale begin? In this project the student constructs the simplest particle system for which particles move "randomly" which occurs when thermal properties are obtained.
2. About scale: Can you generate the dry friction laws? In this project the student constructs a system of bound particles (a block) that slide over a rough surface. The system generates the dry friction laws.
3. About scale: The normal probability function exp(-kr^2), used in statistical problems, and the 1/r function, used in deterministic problems, both satisfy the wave equation. That being said, can the normal probability function be substituted for the 1/r function to avoid the r = 0 singularity in 1/r? In this project, the student studies this substitution.
4. About numerical analysis: Wave solutions are simplified by neglecting near-field effects giving rise to the so-called far-field approximation. Can numerical analysis be simplified (and how) by neglecting far-field effects to produce the "near-field approximation"? In this project, the student looks at the errors associated with the "near-field approximation."
5. About 4D: In 4D, force is a geometric quantity. In this project, the student develops a graphical way of visualizing the 4D force.
- PhD, Engineering Mechanics, Virginia Polytechnic Institute
- MS, Engineering Mechanics, Virginia Polytechnic Institute
- BS, Engineering Mechanics, Virginia Polytechnic Institute
Core Research Areas
Thermal Sciences and Energy Systems
Structural Mechanics, Materials and Manufacturing
Dynamics, Vibrations, Controls, and System Design
Aerodynamics, Fluid Mechanics, Propulsion and Space Exploration Systems
Courses Taught By Silverberg
- MAE 513 -001 —Fall '14 Principles of Structural Vibration