Research & Development World

  • R&D World Home
  • Topics
    • Aerospace
    • Automotive
    • Biotech
    • Careers
    • Chemistry
    • Environment
    • Energy
    • Life Science
    • Material Science
    • R&D Management
    • Physics
  • Technology
    • 3D Printing
    • A.I./Robotics
    • Software
    • Battery Technology
    • Controlled Environments
      • Cleanrooms
      • Graphene
      • Lasers
      • Regulations/Standards
      • Sensors
    • Imaging
    • Nanotechnology
    • Scientific Computing
      • Big Data
      • HPC/Supercomputing
      • Informatics
      • Security
    • Semiconductors
  • R&D Market Pulse
  • R&D 100
    • Call for Nominations: The 2025 R&D 100 Awards
    • R&D 100 Awards Event
    • R&D 100 Submissions
    • Winner Archive
    • Explore the 2024 R&D 100 award winners and finalists
  • Resources
    • Research Reports
    • Digital Issues
    • R&D Index
    • Subscribe
    • Video
    • Webinars
  • Global Funding Forecast
  • Top Labs
  • Advertise
  • SUBSCRIBE

Infrastructure Optimization Tool Helps Design Future Bases

By Sandia National Laboratories | November 7, 2017

Sandia National Laboratories systems analysts Alex Dessanti and Karina Munoz-Ramos review the optimization criteria to select the best combination of equipment to create infrastructure for overseas Army bases. (Photo by Randy Montoya)

 Where do you get your water? How do you generate electricity to cook your food and keep it fresh? What happens to your waste after you toss it or flush it?

For soldiers overseas, the answers to questions about basic facilities and services are vital. Since 2013, Sandia National Laboratories has been helping the Army’s Product Directorate Contingency Base Infrastructure identify the best equipment for temporary bases overseas. For the first time, a Sandia-designed software tool is being used to recommend the core set of equipment for bases to be built in 2020 and beyond.

Contingency bases are overseas camps intended to be used for less than five years. Traditionally, each base was designed in an ad hoc manner with individual camp planners and commanders selecting what they thought they needed. As part of a larger effort to standardize designs and make the bases more efficient, the Army asked Sandia to help determine the best combinations of equipment to create all the infrastructure the bases need. Sandia’s specialty in trade space optimization and exploration is being used to solve this complex systems of systems problem. The analytic tools leverage Sandia’s fundamental safety, security and reliability expertise and have been applied to a range of Department of Defense and nuclear weapons programs.

“A base is essentially a self-contained city. You have places for people to sleep. You’ve got places for people to eat. You’ve got places for people to work out and exercise,” said Alex Dessanti, the computer scientist heading Sandia’s Contingency Base Infrastructure computational optimization project. “You have a power generation infrastructure, you have fuel and water storage and you have waste collection and disposal.”

Optimizes five criteria simultaneously

Of course, what qualifies as the “best” isn’t easy to define, especially when you have multiple, sometimes conflicting goals, said Karina Munoz-Ramos, another systems analyst on the project. Sandia’s Contingency Base Infrastructure tool optimizes the whole system of systems based on five criteria: affordability, performance, risk, commonality and scalability.

Affordability is a rather straightforward optimization criterion, one you likely use in your day-to-day life. However, affordability doesn’t just include initial purchase cost, but also the cost to transport the equipment to the site and the cost of consumables, such as fuel or water, said Dessanti. Generator A might be cheaper than Generator B but if it requires more fuel per kilowatt-hour, it might not be worth it in the long run.

Performance takes into account setup time, maintenance, resupply needs and the quality of life for the soldiers. For example, rigid-wall billeting is higher performing than tents because it blocks more noise, is better insulated and is quicker to set up. Dessanti said, “If the soldiers have a better quality of life on the camp, then when they go do their mission, they’ll be more effective. If they’re better rested, better fed and can shower regularly, then they’re going to be able to do their job better.”

Some equipment considered in the analyses involves new technologies that reuse water or supply electricity more efficiently to drive down the resupply cost for a base. However, there is a chance the new technology won’t be ready when the Army needs to set up the camp in a few years. This is captured by the schedule risk criteria.

Commonality reflects the efficiency gained when the base uses the same kind of generators for the kitchens and laundry or uses the same structures to sleep, eat and conduct administrative tasks. This synergy improves base set-up, maintenance and repair.

The last optimization criterion is scalability. For example, can the base support another unit passing through the area for a few days, or will that deplete the base’s water storage or strain the generators? Alternatively, how much additional equipment could the camp sustain if its mission changes at some point and it needs to support many more soldiers, said Dessanti.

Provides select options to decision-makers

The Contingency Base Infrastructure optimization tool is an application of Sandia’s Whole System Trades Analysis Tool, which is designed to solve these complex, multi-variable optimization problems.

Sandia’s optimization tool uses advanced evolutionary algorithms to search for the very best combinations of equipment. After scoring a few million of the roughly 10150 possible combinations (which is about the number of fundamental particles in the universe squared), the tool will keep several thousand of the best options it found across the five decision criteria. Army decision-makers then use the tool to explore and understand the tradeoffs between the five decision criteria. After careful consideration of the tradeoffs, they select one recommended set of equipment that best meets the goals for the base camp being designed.

The project has focused on optimizing three different sized bases. Extra small base camps support 50 to 299 soldiers; small bases support 300 to 1,999; and medium bases support 2,000 to 5,999. The equipment needed for a cluster, defined as 12 extra small, five small, and one medium base that are all in the same geographic location and support each other, also has been optimized.

In addition, Sandia’s analyses can help the Army evaluate investments in developmental technologies, said Dessanti. Perhaps technologies that drastically reduce the resupply cost of a base but are still “risky” can become viable with further investment in research and development.

In 2015, the joint Sandia/Army team received an Army Modeling and Simulation Award for, in the citation’s words, “best applications of Army models and simulations in an era of fiscal austerity and rapid innovation.”

One ongoing challenge is that the tool needs high-quality data to support the decision-making process. And it can be difficult to gather all the data, Munoz-Ramos said. For example, if the reliability estimate for a generator is too high, the analysis might incorrectly recommend that generator over other sources of power generation. The team is constantly working to improve the decision analytics expertise and tools and the data that support them.

Ultimately, the project can help save the Army a lot of money while enhancing the quality of life at its base camps. “Enabling dramatic improvements in base camp cost and efficiency for our soldiers instills a sense of pride in the work that you’re doing and it really motivates you to make sure that you’re getting it right,” Dessanti said.

Related Articles Read More >

2025 R&D layoffs tracker tops 92,000
Eli Lilly facility
9 R&D developments this week: Lilly builds major R&D center, Stratolaunch tests hypersonic craft, IBM chief urges AI R&D funding
Five cases where shaky science snowballed into public confusion
Caltech, Fermilab, and collaborators test quantum sensors for future particle physics experiments
rd newsletter
EXPAND YOUR KNOWLEDGE AND STAY CONNECTED
Get the latest info on technologies, trends, and strategies in Research & Development.
RD 25 Power Index

R&D World Digital Issues

Fall 2024 issue

Browse the most current issue of R&D World and back issues in an easy to use high quality format. Clip, share and download with the leading R&D magazine today.

Research & Development World
  • Subscribe to R&D World Magazine
  • Enews Sign Up
  • Contact Us
  • About Us
  • Drug Discovery & Development
  • Pharmaceutical Processing
  • Global Funding Forecast

Copyright © 2025 WTWH Media LLC. All Rights Reserved. The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of WTWH Media
Privacy Policy | Advertising | About Us

Search R&D World

  • R&D World Home
  • Topics
    • Aerospace
    • Automotive
    • Biotech
    • Careers
    • Chemistry
    • Environment
    • Energy
    • Life Science
    • Material Science
    • R&D Management
    • Physics
  • Technology
    • 3D Printing
    • A.I./Robotics
    • Software
    • Battery Technology
    • Controlled Environments
      • Cleanrooms
      • Graphene
      • Lasers
      • Regulations/Standards
      • Sensors
    • Imaging
    • Nanotechnology
    • Scientific Computing
      • Big Data
      • HPC/Supercomputing
      • Informatics
      • Security
    • Semiconductors
  • R&D Market Pulse
  • R&D 100
    • Call for Nominations: The 2025 R&D 100 Awards
    • R&D 100 Awards Event
    • R&D 100 Submissions
    • Winner Archive
    • Explore the 2024 R&D 100 award winners and finalists
  • Resources
    • Research Reports
    • Digital Issues
    • R&D Index
    • Subscribe
    • Video
    • Webinars
  • Global Funding Forecast
  • Top Labs
  • Advertise
  • SUBSCRIBE