Optimization-based Design for Manufacturing
This report provides detailed documentation of the algorithms that where developed and implemented in the Plato software over the course of the Optimization-based Design for Manufacturing LDRD project.
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Jump to search filtersAlgorithms Developed and Implemented in the Plato Software for Optimization-based Design for Manufacturing
This report provides detailed documentation of the algorithms that were developed and implemented in the Plato software over the course of the Optimization-based Design for Manufacturing LDRD project.
Optimization-based design for additive manufacturing
Abstract not provided.
Optimization-Based Design
Abstract not provided.
PLATO: Optimization-Based Design Ecosystem
Abstract not provided.
Optimization-based design for manufacturing
Abstract not provided.
Optimization-based design: A Forward-looking Perspective
Abstract not provided.
SNL Overview AM & PLATO
Abstract not provided.
PLATO Training Course
Abstract not provided.
Solid Rocket Motor Design using a Low-Dimensional Fluid Model
This document is a summary of the mathematical models that are used in the DARPA TRADES project for the solid rocket motor design challenge. It is hoped that this brief description of these models will be of use to those that are working on the project.
Transformative Design Catapult: Biannual Report
Abstract not provided.
Alexa: Fast Shock Hydrodynamics on GPUs
Abstract not provided.
DARPA TRADES Annual Report
During calendar year 2017, Sandia National Laboratories (SNL) made strides towards developing an open portable design platform rich in highperformance computing (HPC) enabled modeling, analysis and synthesis tools. The main focus was to lay the foundations of the core interfaces that will enable plug-n-play insertion of synthesis optimization technologies in the areas of modeling, analysis and synthesis.
GPU Accelerated Topology Optimization with Plato/Alexa
Abstract not provided.
Large scale synthesis optimization with parameter uncertainty
Abstract not provided.
Accelerating Multidisciplinary Design Optimization with Machine Learning
Abstract not provided.
MULTI-MATERIAL STRUCTURAL TOPOLOGY OPTIMIZATION UNDER UNCERTAINTY VIA A STOCHASTIC REDUCED ORDER MODEL APPROACH
Abstract not provided.
Uncertainty Aware Topology Optimization Via a Stochastic Reduced Order Model Approach
Abstract not provided.
Additive manufacturing: Toward holistic design
Scripta Materialia
Additive manufacturing offers unprecedented opportunities to design complex structures optimized for performance envelopes inaccessible under conventional manufacturing constraints. Additive processes also promote realization of engineered materials with microstructures and properties that are impossible via traditional synthesis techniques. Enthused by these capabilities, optimization design tools have experienced a recent revival. The current capabilities of additive processes and optimization tools are summarized briefly, while an emerging opportunity is discussed to achieve a holistic design paradigm whereby computational tools are integrated with stochastic process and material awareness to enable the concurrent optimization of design topologies, material constructs and fabrication processes.
Uncertainty Aware Structural Topology Optimization Via a Stochastic Reduced Order Model Approach
Abstract not provided.
Uncertainty Aware Topology Optimization Via a Stochastic Reduced Order Model Approach
Abstract not provided.
SNL ATDM Analysis Components
Abstract not provided.
PLATO ? Massively Parallel Framework for Topology Optimization
Abstract not provided.
A NEW INVERSE PROBLEM STRATEGY BASED ON FORWARD MODEL EVALUATIONS: GRADIENT-BASED OPTIMIZATION WITHOUT ADJOINT SOLVES
Abstract not provided.
Revolutionary Design Tools for AM - Prompt Crafting
Abstract not provided.
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