在大型项目的早期研发中加入数字双胞胎以降低成本和进度风险

IF 1 4区 工程技术 Q4 INSTRUMENTS & INSTRUMENTATION Insight Pub Date : 2023-09-27 DOI:10.1002/inst.12457
Christopher Ritter, Mark Rhoades
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引用次数: 0

摘要

早期研发在产品开发生命周期中发挥着至关重要的作用,需要创新的方法来应对这一阶段面临的复杂挑战。本文量化了数字孪生(DT)技术的结合如何在ESR&;大型项目的D和后期生命周期阶段。爱达荷州国家实验室演示了DT在微型反应堆AGile非核实验试验台(MAGNET)运行阶段的应用,展示了DT在设计和运行中的变革潜力。这些进步使得能够实时评估施工变更及其对项目要求的影响。通过关注数字孪生的好处,本文旨在促进在研发的早期阶段对数字孪生技术的结合持更积极的态度;D项目。
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Incorporating Digital Twins In Early Research and Development of Megaprojects To Reduce Cost and Schedule Risk

Early-stage research and development (ESR&D) plays a vital role in the product development lifecycle, necessitating innovative approaches to address the complex challenges faced during this phase. This article quantifies how the incorporation of digital twin (DT) technology can reduce cost and schedule risk during ESR&D and later lifecycle stages in megaprojects. The Idaho National Laboratory demonstrated the application of DT in the Microreactor AGile Non-Nuclear Experimental Testbed (MAGNET) operations phase, showcasing the transformative potential of DT in both design and operation. These advances allowed real-time assessment of construction changes and their impact on project requirements. By focusing on the benefits of digital twinning, this article aims to promote a more positive attitude toward the incorporation of digital twin technologies in the early stages of R&D projects.

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来源期刊
Insight
Insight 工程技术-材料科学:表征与测试
CiteScore
1.50
自引率
9.10%
发文量
0
审稿时长
2.8 months
期刊介绍: Official Journal of The British Institute of Non-Destructive Testing - includes original research and devlopment papers, technical and scientific reviews and case studies in the fields of NDT and CM.
期刊最新文献
ISSUE INFORMATION Innovation Ecosystem Dynamics, Value and Learning I: What Can Hamilton Tell Us? Realizing the Promise of Digital Engineering: Planning, Implementing, and Evolving the Ecosystem Requirements Statements Are Transfer Functions: An Insight from Model-Based Systems Engineering Feelings and Physics: Emotional, Psychological, and Other Soft Human Requirements, by Model-Based Systems Engineering
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