As communication needs and model equations for physical, biological, financial, or social systems have increased in complexity, computer simulation for such applications has evolved into a separate discipline devoted to the science and engineering of computational systems. This field, known as computational science and engineering (CSE) encompasses subdisciplines ranging from computational mathematics and algorithms to visualization and simulation of model equations to studies of communication systems, networking, and processing of digital information.
The continual and compelling need for accurately and efficiently simulating dynamical behavior of physical systems arising from a wide variety of applications has led to increasingly large and complex models. Reduced-order modeling (ROM) techniques, also called model reduction or macromodeling, play an indispensable role in providing efficient computational prototyping tools to replace such large-scale models by approximate smaller models, which are capable of capturing critical dynamical behavior and faithfully preserving essential properties of the larger models.
We propose an Intelligent Structural Health Monitoring (ISHM) System based on a radical improvement in the accuracy and resolution of displacement (hence strain) measurement, fabricating a wide-band high-fidelity PZT-based sensor of micron size. To accomplish this we propose new methods of growing the conical sensor elements, and unique self-assembly techniques that avoid expensive off-site CMOS wafer fabrication.
