| Autor: |
Mahbub, Rafee, Russell, Truman, Borg, Jack Denman, Coutu Jr., Ronald A., Borg, John P. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 3066 Issue 1, p1-7, 7p |
| Abstrakt: |
Optimization of mesoscale (∼1 mm) geometric structures was performed with a genetic algorithm framework utilizing the computational optimization tool, DAKOTA. The goal of this research was to design meso-structures into surrogate energetic systems that can enhance a system's dynamic response by energy concentration or dissipation into localized regions. A conical shell was prescribed by DAKOTA's genetic algorithm to attain desired velocities in specified Lagrangian tracer locations of a heterogeneous mixture with a high and a low-impedance materials. Objective functions were defined to generate maximum and minimum particle velocity profiles at specified locations where the input parameters were the individual blocks of material with a specified mesh that could move along the Lagrangian domain. Samples were fabricated with a conical shell structure of sugar embedded into the PDMS polymer. Uniaxial strain experiments were performed with a single-stage gas gun between 80 m/s and 565 m/s projectile velocity to confirm the functionality of the proposed optimized meso-structure. Photonic Doppler Velocimetry (PDV) probes were placed to monitor the particle velocity response on the specified locations obtained from the optimization results. Simulations were conducted in CTH using the 3D geometry of the sample acquired from the XCT scan to assess the dynamic behavior of the shock wave under extreme loading conditions. Experimental results indicated that higher and lower velocity responses can be achieved due to the impedance mismatch of building materials directing the shock wave into the predefined directions. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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