Engineering PapersSearch

DOE OSTI · 2999132

Sierra/SD – Example Problems Manual – (V5.26)

Abstract

The Example Problems Manual supplements the User’s Manual and the Theory Manual. The goal of the Example Problems Manual is to reduce learning time for complex end to end analyses. These documents are intended to be used together. See the User’s Manual for a complete list of the options for a solution case. All the examples are part of the Sierra/SD test suite. Each runs as is. The organization is similar to the other documents: How to run, Commands, Solution cases, Materials, Elements, Boundary conditions, and then Contact. The table of contents and index are indispensable. The Geometric Rigid Body Modes section is shared with the Users Manual.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Beale, Dagny Marie [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0009000643257959), Bunting, Gregory [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000205234602), Day, David M. [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0009000975355301), Lindsay, Payton [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0009000308759521), Pepe, Justin [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0009000265824046), Plews, Julia Anne [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:000900043390920X), Thomas, Jesse David [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000348336040), Treweek, Benjamin [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000268852563). 2025-10-02. Sierra/SD – Example Problems Manual – (V5.26). https://doi.org/10.2172/2999132

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related reports

Ontologies for Intelligent Data Science

As anyone even vaguely aware of current technology can tell you, machine learning (ML) and artificial intelligence (AI) have made exceptional breakthroughs in recent years. Generative artificial intelligence (GAI) emerged circa 2022 dominated by Large Language Models (LLMs) and generative tools for images emerged at about the same time.

96 KNOWLEDGE MANAGEMENT AND PRESERVATION

Data Cards for Standardized Metadata Across DOE-Aligned Data Initiatives: Toward Transparent, Interoperable, and Governed Dataset Documentation

As data-intensive research, advanced computing, and artificial intelligence become increasingly central to scientific and operational workflows, the need for consistent, transparent, and machine-actionable documentation has grown correspondingly. Multiple DOE-aligned communities—including Office of Science, Genesis Mission, American Science Cloud (AmSC), National Nuclear Security Administration (NNSA) stewardship and governance, and related cross-laboratory collaborations—have independently developed metadata practices to support discovery, access, reuse, repository deposit, and compliance.

96 KNOWLEDGE MANAGEMENT AND PRESERVATION

Verification and Validation of Performance with Dissemination of Best Practices in District Energy and CHP for Enhanced Resiliency, Energy Efficiency, and Cybersecurity

This report contains the results of the International District Energy Association’s work to analyze, validate, and verify performance data of existing district energy systems and identify industy best practices for the purpose of improving system reliability, resiliency, and efficiency, and to accellerate decarbonization. In addition to a technical evaluation of the surveyed systems and identification of a series of technical performance metrics, the report illustrates the accompanying operations and financial best practices employed by surveyed systems to fully serve their customer base. Additionally, the third chapter of the report describes the current landscape of cybersecurity threats and counteracting measures, and recommends a series of steps for effectively guarding highly networked district energy systems against cybersecurity attacks.

96 KNOWLEDGE MANAGEMENT AND PRESERVATION