Logistics and Sustainability focuses on fundamental research to enable the rapid and reliable assessment of future Army platform reliability, health, and usage. Knowledge gained in this area is expected to impact a wide array of vehicle systems, including the ground, air, and maritime domains, ranging from micro- to macro-scales.
Extreme Lightweighting for Sustainability (APG)
ARL investigates novel concepts for extremely lightweight, adaptive, durable, damage-precursor (XLADD+) technologies enabled by advanced materials and designs for future Army aviation platforms. We apply novel nonlinear computational methods and new physics-based models to notional structural concepts. The primary goals are to seek new methods to mitigate conservatism in design through multifunctional material solutions and to utilize nano- to cm-scale modeling and characterization to validate improved performance. Collaborations may potentially inform transition planning by assisting in the scale-up to performance demonstrations, utilizing proxy payloads and simulated mission conditions.
Structural Integrity and Durability Laboratory (APG) [ScMvr-27]
Equipment Available: MTS Planar Biaxial Test System; 1-kHz, 5-kip "High Cycle Fatigue" servo-hydraulic mechanical testing machine; 5 kN electromechanical testing machine with environmental chamber; digital image correlation; Stratasys Dimension Elite Performance 3D printer.
Self-responsive Adaptive Durability (APG)
ARL seeks collaborators to establish understanding of the precursors to damage in composite materials. Collaborative efforts will yield new sensing strategies optimized to damage models of individual constituents of composite materials to capture sensitive signal features for detecting the onset of damage. Further, collaborations are sought to investigate self-sensing, self-reporting, self-healing material architectures to enable measurement and reporting of damage state, enhanced durability, and adaptive structures. This research is supports the Manipulating Physics of Failure for Robust Performance of Materials.
Prognostics and Diagnostics Laboratory (APG) [ScMvr-29]
Investigate novel concepts for damage sensing. Demonstrate diagnostic tools with the ability to detect damage precursors. Sensing techniques include mechanical, optical, electrical, and magnetic. Fuse disparate sensing techniques to provide additional material state awareness information. Develop predictive tools to assess remaining useful life.
22-kip servo-hydraulic mechanical testing machines with assortment of ASTM standard test fixtures; acoustic emission, electromagnetic and piezoelectric shaker system for vibration generation, fatigue testing, failure analysis, seeded fault diagnostics and flight test evaluation, health and usage monitoring system (HUMS), structural health monitoring (SHM), and damage detection and data collection system. Acoustic emission; impedance network analyzer; electromagnetic and piezoelectric shaker; optical power meter; fiber Bragg grating sensor system; ultrasonic guided wave system; permanent magnet shaker; vibration control table; high-speed oscilloscope; A-scan, C-scan, and phased array equipment; modal analysis impact hammer.
Real-Time Probabilistic Risk Assessment (APG)
ARL seeks collaborators to develop analytical and numerical tools for the evaluation of uncertainty and risk to enable zero-maintenance platforms, damage-adaptive maneuver, and risk-informed operational decisions. Further, collaboration is sought to develop artificial-intelligence inspired machine learning frameworks for evaluation of uncertainty and risk to self-sustaining platforms. This research is connected to the Manipulating Physics of Failure for Robust Performance of Materials, and Discovery ERAs.