DSIAC JOURNAL

Step into the future with the latest advancements and trends in defense. 

We blend research with subject matter expertise to provide an outlet for publicly releasable articles on new and emerging science, engineering, and technology within the defense community.

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A Surrogate Model to Quantify Uncertainty in Thermal Protection Systems for Hypersonic Weapons

What Makes a Simulation Credible? Cost-Effective VV&A in the Systems Engineering Process

Revolutionizing Naval Logistics: The Challenges and Prospect of Metal Additive Manufacturing on U.S. Navy Ships

U.S. Army Combat Capabilities Development Command (DEVCOM) Analysis Center (DAC) RelTools Dashboard

Latest Articles

U.S. Army Combat Capabilities Development Command (DEVCOM) Analysis Center (DAC) RelTools Dashboard

Reliability is the probability that an item will perform its intended function for a specified period under stated conditions. It has a significant impact on operating and sustainment costs within the U.S. Department of Defense (DoD), which typically represent 70% of the program’s total life-cycle costs [1].

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A Surrogate Model to Quantify Uncertainty in Thermal Protection Systems for Hypersonic Weapons

Modeling and simulation are key for the iterative development of thermal protection systems (TPS’s) for hypersonic weapons. In this work, the temperature-dependent flexural strength (FS) of α-SiC ceramic is predicted given Young’s modulus, Poisson’s ratio, and temperature. An artificial neural network (ANN) surrogate model is created to retain property-performance prediction while increasing computation speed.

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Revolutionizing Naval Logistics: The Challenges and Prospect of Metal Additive Manufacturing on U.S. Navy Ships

In 2022, the U.S. Navy installed the first-ever permanent metal AM machine aboard a U.S. naval vessel. This technology is projected to be groundbreaking by reducing resupply logistics and diminishing obsolescence: “For the Navy, the greatest immediate potential is in the less-exotic field of logistics” [1].

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What Makes a Simulation Credible? Cost-Effective VV&A in the Systems Engineering Process

The U.S. Naval Air Warfare Center Aircraft Division (NAWCAD) Verification, Validation, and Accreditation (VV&A) Branch has developed and is executing a cost-effective, risk-based VV&A process for models and simulations (M&S) used to support the U.S. Department of Defense (DoD).

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Understanding the Bow Topside Flow Field of the USS Zumwalt for Hypersonic Missile Launching: A Potential Missing Link

What happens when a hypersonic missile is launched from a Navy destroyer? Aside from the forthcoming damage effects and political fallout, there are a million complex physical interactions that take place right at the moment and place of the launch.

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A Brief History of the Advanced Inorganic-Organic Hybrid Polymers of NRL’s Chemistry Division

In common language, the term “polymer” elicits references to many ordinary, practical items, including the phrase “paper or plastic” in checkout counters.

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Atmospheric Corrosion Severity and the Role of the Environment: Determining a Direct Correlation

Corrosion costs the U.S. Department of Defense (DoD) billions of dollars annually and heavily impacts the availability of DoD assets to carry out their missions [1].

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Attributing Mission Performance to Submarine Subsystems

Submarine design is a multifaceted process requiring extensive effort spanning across various disciplines and organizations. Part of this effort is deciding which missions a submarine is expected to conduct and assessing its efficacy, or mission effectiveness, in those missions via constructive simulation.

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Note From the Editor-in-Chief

Celebrating Nearly 250 Years of U.S. Naval Innovation On March 9, 1862, as the first sunlight of the day sparkled over the Chesapeake Bay, history was being made with the world’s first clash of steam-powered, ironclad warships.1 The U.S. Navy’s newest and most advanced ship, the USS Monitor, engaged in an hours-long battle with the CSS Virginia (formerly the USS […]

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Emerging Applications of Machine Learning and Predictive Analytics in Naval Energy Autonomy

This article explores several emerging applications of artificial intelligence (AI) and machine learning (ML) for U.S. Department of the Navy (DON) energy autonomy and digital transformation use.

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Previous Journals

DSIAC-Winter-2019-Vol-6-No-1-Cover

Winter 2019: Volume 6 Number 1

DSIAC-Fall-2018-Vol-5-No-4

Fall 2018: Volume 5 Number 4

Summer 2018: Volume 5 Number 3

Spring 2018: Volume 5 Number 2