It is important but difficult to analyze the electromagnetic environment effect(E3) in the designing of modern airborne,sea,space,and ground systems.Thus a hybrid algorithm of time domain integral equation,finite diff...It is important but difficult to analyze the electromagnetic environment effect(E3) in the designing of modern airborne,sea,space,and ground systems.Thus a hybrid algorithm of time domain integral equation,finite difference time domain and modified nodal analysis(TDIE-FDTD-MNA) is developed to analyze the E3 of complex systems with cables and nonlinear circuit structures.The plane wave time domain(PWTD) enhanced TDIE method is adopted to solve field problems.The higher order FDTD(2,4) is adopted to solve cable problems.The MNA is adopted to obtain the response of complex circuits(with nonlinear structures).Numerical examples demonstrate the effectiveness of the proposed algorithm.展开更多
Industrial projects can be viewed as complex sociotechnical systems(e.g.,human agents interacting with technology)where cause-and-effect relationships do not necessarily occur in time-and-space proximity.For this work...Industrial projects can be viewed as complex sociotechnical systems(e.g.,human agents interacting with technology)where cause-and-effect relationships do not necessarily occur in time-and-space proximity.For this work,metanetwork(e.g.,a network of networks)analysis was applied to emergent behavior-centric intangible risks(BCIRs)in a portfolio of projects in the energy sector.A user-friendly framework is proposed to identify and quantitatively assess BCIRs,along with the conditions that initiate them throughout the project development cycle.The underlying hypothesis is a structured approach to identifying,assessing,and proactively addressing BCIRs that have the potential to improve a project team’s ability to meet its objectives.While we build upon Rasmussen’s dynamic safety model and address the need for a framework to assess causal factors that influence behaviors in the context of an energy-sector project,we do this with a view to a future where technology(e.g.,artificial intelligence(AI),automation,robotics,etc.)will play an ever-increasing role.The proposed framework is presented as tested in a live project portfolio setting where organizational modifications were identified,simulated,and implemented.One particular dimension of the analysis,the issue of authority without responsibility,is also discussed.The results of this empirical assessment were further validated by an industry panel of subject-matter experts(SMEs).展开更多
基金supported by National Basic Research Program of China(973 Program)
文摘It is important but difficult to analyze the electromagnetic environment effect(E3) in the designing of modern airborne,sea,space,and ground systems.Thus a hybrid algorithm of time domain integral equation,finite difference time domain and modified nodal analysis(TDIE-FDTD-MNA) is developed to analyze the E3 of complex systems with cables and nonlinear circuit structures.The plane wave time domain(PWTD) enhanced TDIE method is adopted to solve field problems.The higher order FDTD(2,4) is adopted to solve cable problems.The MNA is adopted to obtain the response of complex circuits(with nonlinear structures).Numerical examples demonstrate the effectiveness of the proposed algorithm.
文摘Industrial projects can be viewed as complex sociotechnical systems(e.g.,human agents interacting with technology)where cause-and-effect relationships do not necessarily occur in time-and-space proximity.For this work,metanetwork(e.g.,a network of networks)analysis was applied to emergent behavior-centric intangible risks(BCIRs)in a portfolio of projects in the energy sector.A user-friendly framework is proposed to identify and quantitatively assess BCIRs,along with the conditions that initiate them throughout the project development cycle.The underlying hypothesis is a structured approach to identifying,assessing,and proactively addressing BCIRs that have the potential to improve a project team’s ability to meet its objectives.While we build upon Rasmussen’s dynamic safety model and address the need for a framework to assess causal factors that influence behaviors in the context of an energy-sector project,we do this with a view to a future where technology(e.g.,artificial intelligence(AI),automation,robotics,etc.)will play an ever-increasing role.The proposed framework is presented as tested in a live project portfolio setting where organizational modifications were identified,simulated,and implemented.One particular dimension of the analysis,the issue of authority without responsibility,is also discussed.The results of this empirical assessment were further validated by an industry panel of subject-matter experts(SMEs).
