首页> 外文会议>Conference on Smart Systems and Nondestructive Evaluation for Civil Infrastructures Mar 3-6, 2003 San Diego, California, USA >Distinctions between Intelligent Manufactured and Constructed Systems And a new Discipline for Intelligent Infrastructure Hyper-Systems
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Distinctions between Intelligent Manufactured and Constructed Systems And a new Discipline for Intelligent Infrastructure Hyper-Systems

机译:智能制造与构建系统的区别与智能基础设施超系统的新学科

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Although the interconnected systems nature of the infrastructures, and the complexity of interactions between their engineered, socio-technical and natural constituents have been recognized for some time, the principles of effectively operating, protecting and preserving such systems by taking full advantage of "modeling, simulations, optimization, control and decision making" tools developed by the systems engineering and operations research community have not been adequately studied or discussed by many engineers including the writer. Differential and linear equation systems, numerical and finite element modeling techniques, statistical and probabilistic representations are universal, however, different disciplines have developed their distinct approaches to conceptualizing, idealizing and modeling the systems they commonly deal with. The challenge is in adapting and integrating deterministic and stochastic, geometric and numerical, physics-based and "soft (data-or-knowledge based)", macroscopic or microscopic models developed by various disciplines for simulating infrastructure systems. There is a lot to be learned by studying how different disciplines have studied, improved and optimized the systems relating to various processes and products in their domains. Operations research has become a fifty-year old discipline addressing complex systems problems. Its mathematical tools range from linear programming to decision processes and game theory. These tools are used extensively in management and finance, as well as by industrial engineers for optimizing and quality control. Progressive civil engineering academic programs have adopted "systems engineering" as a focal area. However, most of the civil engineering systems programs remain focused on constructing and analyzing highly idealized, often generic models relating to the planning or operation of transportation, water or waste systems, maintenance management, waste management or general infrastructure hazards risk management. We further note that in the last decade there have been efforts for "agent-based" modeling of synthetic infrastructure systems by taking advantage of supercomputers at various DOE Laboratories. However, whether there is any similitude between such synthetic and actual systems needs investigating further.
机译:尽管已经认识到基础架构具有相互关联的系统性质,以及其工程,社会技术和自然因素之间相互作用的复杂性,但充分利用“建模,由系统工程和运筹学界开发的“仿真,优化,控制和决策”工具尚未得到包括作者在内的许多工程师的充分研究或讨论。微分和线性方程组系统,数值和有限元建模技术,统计和概率表示法是普遍的,但是,不同的学科已经开发出了不同的方法来概念化,理想化和建模它们通常处理的系统。挑战在于适应和集成确定性和随机性,几何和数值,基于物理的和“软(基于数据或知识)”,由各个学科开发的用于模拟基础结构系统的宏观或微观模型。通过研究不同学科如何研究,改进和优化与各自领域中的各种过程和产品相关的系统,可以学到很多东西。运筹学已成为解决复杂系统问题的五十年历史。它的数学工具范围从线性规划到决策过程和博弈论。这些工具广泛用于管理和财务,以及工业工程师用于优化和质量控制。渐进的土木工程学术计划已将“系统工程”作为重点领域。但是,大多数土木工程系统计划仍专注于构建和分析高度理想化的,通常是通用的模型,这些模型与运输,水或废物系统,维护管理,废物管理或一般基础设施危害风险管理的计划或操作有关。我们进一步注意到,在过去的十年中,人们一直在利用各种DOE实验室的超级计算机来对合成基础设施系统进行“基于代理”的建模。但是,这种综合系统与实际系统之间是否有任何相似之处需要进一步研究。

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