Early design verification of ITER remote handling systems using Digital Mock-Ups within simulation lifecycle environment

Sibois, Romain; Määttä, Timo; Siuko, Mikko; Mattila, Jouni

doi:10.1109/sofe.2013.6635381

Cited by 2 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Society for Computer Simulation (SCS) Technical Committee on Model Credibility proposed in the late 1970s, a simplified vision of V&V process in order to highlight the interactions between evaluation phases [15]. The figure 1 presents an adaptation of this process made by [14] and [16] for V&V of computational models.…”

Section: The Vandv Methodologymentioning

confidence: 99%

See 1 more Smart Citation

Simulation Data Management and Reuse: Toward a Verification and Validation Approach

Ottino

Vosgien

Duigou

et al. 2016

Product Lifecycle Management in the Era of Internet of Things

View full text Add to dashboard Cite

Part 9: Simulation and Virtual EnvironmentsInternational audienceNowadays, in various sectors of industry, numerical simulation process becomes more and more time consuming. In this process, the lead time of the pre-processing stage is predominant. Therefore, in order to optimize this process and hence, the design process, the created computational models need to be reused. According to Product Lifecycle Management (PLM) approach in an extended enterprise context, the computational models come from various partners, departments and heterogeneous tools. In order to reuse these computational models, it is necessary to capitalize the simulation data in accordance with a common standardized and structured format. Based on a Simulation Lifecycle Management (SLM) approach and a Verification & Validation methodology, this paper proposes a framework and a process to enable the reuse of computational models

show abstract

Section: The Vandv Methodologymentioning

confidence: 99%

“…1. Simplified vision of V&V process phases of computational models adapted from Schlesinger [15] by Thacker et al [14] and Oberkampf et al [16] The reality of interest is the physical system on which a simulation demand is made about a specific problem to solve. It is analyzed to create the mathematical model.…”

Section: Mathematical Modelmentioning

confidence: 99%