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Center Overview

Structural integrity and reliable lifespan prediction of infrastructure and mechanical components have relevance in every public and private sector, ranging from energy to aerospace to construction to chemical processing industries. CISIA serves as a trusted source of transformative insights, predictive capabilities, and materials innovations across broad industrial sectors, focusing on structural integrity assurance for small and large structures and mechanical components.

CISIA conducts use-driven, fundamental, pre-competitive research to establish linkages between material properties and infrastructure performance in terms of its structural integrity. Establishing linkages between material properties, infrastructure performance, and structural integrity requires multi-disciplinary research collaborations; CISIA is well-positioned to elucidate and translate these links and their collective impact on reliability across all U.S. industrial sectors. The academic and industrial members of CISIA work in concert to produce a diverse workforce of engineers who are trained in state-of-the-art facilities to utilize modern methods of structural health monitoring and analysis. These engineers will join a highly qualified and productive workforce that significantly enhances the global competitiveness and resilience of U.S. industries.

Universities

  • Louisiana Tech University
  • Louisiana State University
View Center Website

Center Personnel

Michael M Khonsari
Center Director
+1 225 342 4253
khonsari@lsu.edu

John Matthews
Site Director (Louisiana Tech University)
+1 318 257 2852
matthews@latech.edu

Charles (Chuck) J. Mart
CISIA Industry Liaison
+1 225 278 8229
cjmart@techinnoventadvisors.com

Research Focus

CISIA focuses on structural integrity and materials innovation — with emphasis on multiscale materials characterization and testing, and multiscale physics-based modeling and simulation — to research component and civil asset fatigue, wear, lifetime assessment methods, and nondestructive accelerated testing. CISIA leverages its extensive infrastructure for research into installation, inspection, structural health assessment, and rehabilitation of underground utility systems, as well as innovative nondestructive evaluation methods for above-ground civil infrastructure.

By integrating validated diagnostics, machine learning, and data-driven decision-making, CISIA will elucidate and translate the links between new materials, manufacturing processes, and service histories, and their collective impact on reliability across all U.S. industrial sectors.

With state-of-the-art research facilities, CISIA specializes in research involving:

  • Accelerated and nondestructive testing
  • Component fatigue, wear, creep, and corrosion
  • Continuous structural health monitoring
  • Design of dynamic high-stress interfaces
  • Fully structural repair materials for buried pipeline assets
  • Innovative testing methodologies for newly developed structural repair materials
  • Lifetime assessment and prediction
  • Fundamental modeling and machine learning to better predict asset conditions
  • New structural materials and fabrication methods
  • Nondestructive structural integrity analysis methods and algorithms
  • Validated diagnostics for structural evaluation
  • Robotics applications to systems in structural integrity
  • Sensors and non-destructive testing and detection of leaks in pipes
  • Additive manufacturing of large components using friction stir welding
  • Durable coatings in large systems for harsh operating conditions

Awards

Member Organizations

IUCRC affiliated member organizations are displayed as submitted by the Center. Non-federal organizations are not selected, approved, or otherwise endorsed by the U.S. National Science Foundation.

  • Aegion Corporation
  • Baker Hughes
  • Dow Chemical
  • Lockheed Martin
  • MELD Manufacturing Corporation
  • Mide Technology
  • National Center for Advanced Manufacturing
  • Shell
The opinions, findings, and conclusions or recommendations expressed are those of the Center author(s) and do not necessarily reflect the views of the U.S. National Science Foundation.