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Engineering | Adaptive Intelligent Materials & Systems Center (AIMS)

Adaptive Intelligent Materials & Systems Center

The AIMS Center strives to develop a unified theoretical foundation for integrated intelligent systems based on the multidisciplinary research areas of its members. Headed by Dr. Aditi Chattopadhyay, AIMS is one of the seven Signature Research themes of the School of Engineering.

Welcome to the AIMS Center

Vision

The vision of the Adaptive Intelligent Materials & Systems (AIMS) Center is to become a national Center of Excellence in the area of intelligent materials and adaptive systems. This is being accomplished by integrating a variety of interdisciplinary areas spanning mechanical, material, electrical and computational engineering, and developing a solid foundation in the area of integrated intelligent system design. Research in this area will solve large-scale problems that have direct benefit to the economy and society as well as a significant impact on aerospace and mechanical systems and civil infrastructures. Such problems are of interest to both industry and government.

Thrust Areas

System health management & prognosis

Foundation of structural health monitoring covering sensor development, sensor placement, data fusion, mining & informatics

Multiscale modeling from nano to structural scale

Physics based high fidelity multiphysics models of materials using molecular dynamics and continuum mechanics

Composite, metallic, & superalloy materials

Complete multiscale characterization and testing of various material systems using novel state of the art equipment

Intelligent design & multidisciplinary optimization

Combining advanced optimization algorithms with validated physics based models for optimal design

Multifunctional materials & adaptive systems

Novel smart material development for future multifunctional and multipurpose needs

Bioinspired materials and robotics

Low energy high efficiency materials and robotic structures designed for extreme environments 

Novel Smart Composites

Damage Precursor Detection in Polymer Matrix Composites Using Novel Smart Composite Particles Particles

Fatigue Analysis

Fatigue, Modes of Fracture & Durability of Advanced Polymer Matrix Composite Materials Materials

Biaxial Testing

Biaxial Testing of Advanced Hybrid Fiber Metal Laminate and Monolithic Materials Materials

Smart Particles

EAGER: Smart Particles for Investigating Damage Initiation in Polymer Composites Composites

Validation Testing

Validation Testing for Bolted Joint & Sandwich Panel Repair Analysis Tools Tools

Molecular Dynamics Simulations

Multiscale Modeling Framework for CNT-enhanced Nanocomposites Nanocomposites 

Multiscale Modeling of Composites

Development of multiscale modeling framework to capture the response of woven C/SiC composites composites

Prognostics

Developing damage prognosis models for complex aerospace and civil structures the

Bridge Scour Monitoring

Multilevel Adaptive Remote Sensing System (MARSS) System

Wave Propogation Modeling

Improving structural health monitoring and damage detection techniques tecnhiques

Thrust Areas

System health management & prognosis

Foundation of structural health monitoring covering sensor development, sensor placement, data fusion, mining & informatics

Multiscale modeling from nano to structural scale

Physics based high fidelity multiphysics models of materials using molecular dynamics and continuum mechanics

Composite, metallic, & superalloy materials

Complete multiscale characterization and testing of various material systems using novel state of the art equipment

Intelligent design & multidisciplinary optimization

Combining advanced optimization algorithms with validated physics based models for optimal design

Multifunctional materials & adaptive systems

Novel smart material development for future multifunctional and multipurpose needs

Bioinspired materials and robotics

Low energy high efficiency materials and robotic structures designed for extreme environments 

Novel Smart Composites

Damage Precursor Detection in Polymer Matrix Composites Using Novel Smart Composite Particles Particles

Fatigue Analysis

Fatigue, Modes of Fracture & Durability of Advanced Polymer Matrix Composite Materials Materials

Biaxial Testing

Biaxial Testing of Advanced Hybrid Fiber Metal Laminate and Monolithic Materials Materials

Smart Particles

EAGER: Smart Particles for Investigating Damage Initiation in Polymer Composites Composites

Validation Testing

Validation Testing for Bolted Joint & Sandwich Panel Repair Analysis Tools Tools

Molecular Dynamics Simulations

Multiscale Modeling Framework for CNT-enhanced Nanocomposites Nanocomposites 

Multiscale Modeling of Composites

Development of multiscale modeling framework to capture the response of woven C/SiC composites composites

Prognostics

Developing damage prognosis models for complex aerospace and civil structures the

Bridge Scour Monitoring

Multilevel Adaptive Remote Sensing System (MARSS) System

Wave Propogation Modeling

Improving structural health monitoring and damage detection techniques tecnhiques

Consortium Members

Aims consortium members receive numerous benefits such as reduced facilities, overheads, and administration costs, dedicated graduate student(s) allocated to work on consortium projects, participation in semi-annual research reviews and workshops, access to laboratory and equipment such as the unique MTS Biaxial/Torsion load frame, and direct involvement with center faculty.

Northrop Grumman Innovation Systems  (2018-Present)

Intel (2016 – Present)

Boeing (2014 – Present)

Raytheon (2017 – Present)

Past Members

Arconic (2011 – 2018)

Aerojet Rocketdyne (2011 – 2015)

Advatech Pacific (2011 – 2014)

Honeywell (2012 – 2013)

Consortium Members

Aims consortium members receive numerous benefits such as reduced facilities, overheads, and administration costs, dedicated graduate student(s) allocated to work on consortium projects, participation in semi-annual research reviews and workshops, access to laboratory and equipment such as the unique MTS Biaxial/Torsion load frame, and direct involvement with center faculty.

Northrop Grumman Innovation Systems (2018-Present)

Boeing (2014 – Present)

Intel (2016 – Present)

Raytheon (2017 – Present)

Past Members

Arconic (2011 – 2018)

Aerojet Rocketdyne (2011 – 2015)

Advatech Pacific (2011 – 2014)

Honeywell (2012 – 2013)

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