Optimisation of mine ventilation networks using the Lagrangian algorithm for equality constraints
International Journal of Mining, Reclamation and Environment, ISSN: 1748-0949, Vol: 29, Issue: 3, Page: 201-212
2015
- 19Citations
- 6Usage
- 10Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations19
- Citation Indexes19
- 19
- CrossRef7
- Usage6
- Abstract Views6
- Captures10
- Readers10
- 10
Article Description
This work presents a new method of mine ventilation network optimisation as standard non-linear programming problem and discusses the use of a novel first-order Lagrangian (FOL) algorithm for equality constraints as a solution tool for these problems. Slack variables have been defined to transform such inequality constraints into their corresponding equality forms. The problem is then converted to non-linear problem with equality constrains. The methodology adopted in this paper is capable of dealing with the non-linear convex model with significant savings on computational efforts due to its use of only first derivatives. A MATLAB programme has been developed based on the FOL method to solve a generalised mine ventilation network optimisation problem. To study the validity and the viability of the FOL programme, the programme has been applied to already published network problems and both results are identical.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84925724557&origin=inward; http://dx.doi.org/10.1080/17480930.2014.942449; http://www.tandfonline.com/doi/abs/10.1080/17480930.2014.942449; http://www.tandfonline.com/doi/pdf/10.1080/17480930.2014.942449; https://scholarsmine.mst.edu/min_nuceng_facwork/1363; https://scholarsmine.mst.edu/cgi/viewcontent.cgi?article=2364&context=min_nuceng_facwork
Informa UK Limited
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