Got Phenomena? Science-Based Disciplines for Emerging Systems Challenges

IF 1 4区 工程技术 Q4 INSTRUMENTS & INSTRUMENTATION
Insight Pub Date : 2024-08-22 DOI:10.1002/inst.12498
Bill Schindel
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引用次数: 0

Abstract

Engineering disciplines (civil, mechanical, chemical, electrical) sometimes argue their fields have “real physical phenomena”, “hard science” based laws, and first principles, claiming systems engineering lacks equivalent phenomenological foundation. We argue the opposite, and how replanting systems engineering in model-based systems engineering (MBSE) / pattern-based systems engineering (PBSE) supports emergence of new hard sciences and phenomena-based domain disciplines.

Supporting this perspective is the system phenomenon, wellspring of engineering opportunities and challenges. Governed by Hamilton's principle, it is a traditional path for derivation of equations of motion or physical laws of so-called “fundamental” physical phenomena of mechanics, electromagnetics, chemistry, and thermodynamics.

We argue that laws and phenomena of traditional disciplines are less fundamental than the system phenomenon from which they spring. This is a practical reminder of emerging higher disciplines, with phenomena, first principles, and physical laws. Contemporary examples include ground vehicles, aircraft, marine vessels, and biochemical networks; ahead are health care, distribution networks, market systems, ecologies, and the IoT.

有现象吗?应对新兴系统挑战的科学学科
工程学科(土木、机械、化学、电气)有时会认为自己的领域有 "真实的物理现象"、基于 "硬科学 "的定律和第一性原理,而系统工程缺乏相应的现象学基础。而我们的观点恰恰相反,我们认为基于模型的系统工程(MBSE)/基于模式的系统工程(PBSE)可以支持新的硬科学和基于现象的领域学科的出现。 支持这一观点的是系统现象,它是工程机遇和挑战的源泉。在汉密尔顿原理的指导下,系统现象是推导所谓 "基本 "物理现象(力学、电磁学、化学和热力学)的运动方程或物理定律的传统途径。 我们认为,传统学科的定律和现象不如它们所产生的系统现象更基本。这是对新兴高等学科的实际提醒,其中有现象、第一原理和物理定律。当代的例子包括地面车辆、飞机、海洋船舶和生化网络;未来的例子包括医疗保健、分销网络、市场系统、生态学和物联网。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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.
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