Avanced modeling for the control of tunnel ventilation during excavation and operation

Innovative tools are necessary to obtain the optimal operating conditions of the ventilation systems in a reasonable lapse of time and accurately. This can be achieved both with appropriate numerical approaches to the full domain as the model order reduction techniques and with the domain decompositions methods as the multi-scale physical decomposition technique. The reduced order mode techniques such as the Proper Orthogonal Decomposition – POD are based on the snapshots method, which provides an optimal linear basis for the reconstruction of multidimensional data. The physical decomposition achieved through multi-level approaches uses the accuracy of the Computational Fluid Dynamics – CFD code in the near field, e.g. the region close to the fire source, and takes advantage of the low computational cost of the 1-D model in the region where gradients in the transversal direction are negligible. In this paper, the features of these two approaches when applied to the control of tunnel ventilation systems are presented. In particular, the use during construction the phase and during operation are discussed.

Innovative tools are necessary to obtain the optimal operating conditions of the ventilation systems in a reasonable lapse of time and accurately. This can be achieved both with appropriate numerical approaches to the full domain as the model order reduction techniques and with the domain decompositions methods as the multi-scale physical decomposition technique. The reduced order mode techniques such as the Proper Orthogonal Decomposition – POD are based on the snapshots method, which provides an optimal linear basis for the reconstruction of multidimensional data. The physical decomposition achieved through multi-level approaches uses the accuracy of the Computational Fluid Dynamics – CFD code in the near field, e.g. the region close to the fire source, and takes advantage of the low computational cost of the 1-D model in the region where gradients in the transversal direction are negligible. In this paper, the features of these two approaches when applied to the control of tunnel ventilation systems are presented. In particular, the use during construction the phase and during operation are discussed.


ISSN 1121-9041

CiteScore:
2020: 3.8
CiteScore measures the average citations received per peer-reviewed document published in this title.
CiteScore values are based on citation counts in a range of four years (e.g. 2016-2019) to peer-reviewed documents (articles, reviews, conference papers, data papers and book chapters) published in the same four calendar years, divided by the number of these documents in these same four years (e.g. 2016 —19).
Source Normalized Impact per Paper (SNIP):
2019: 1.307
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR)
2019: o.657
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal's impact.
Journal Metrics: CiteScore: 1.0 , Source Normalized Impact per Paper (SNIP): 0.381 SCImago Journal Rank (SJR): 0.163

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