Sensitivity analysis of factors influencing the curve negotiation performance of hot metal train
This paper investigates the operational safety of 6-car hot metal trains negotiating S-shaped small-radius curves. Based on Simpack software, a dynamic model was established to represent a train formation consisting of 1 locomotive and 6 hot metal cars. Comparative analyses were conducted to examine...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Electric Drive for Locomotives
2024-11-01
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| Series: | 机车电传动 |
| Subjects: | |
| Online Access: | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2024.06.011 |
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| _version_ | 1850142719751487488 |
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| author | TIAN Mingjie HUANG Zhihui CHEN Xuejing YANG Quan YU Hongda |
| author_facet | TIAN Mingjie HUANG Zhihui CHEN Xuejing YANG Quan YU Hongda |
| author_sort | TIAN Mingjie |
| collection | DOAJ |
| description | This paper investigates the operational safety of 6-car hot metal trains negotiating S-shaped small-radius curves. Based on Simpack software, a dynamic model was established to represent a train formation consisting of 1 locomotive and 6 hot metal cars. Comparative analyses were conducted to examine the influence of track parameters, including track irregularities, curve radii, curve elevations, intermediate straight line lengths, and gauge widening, as well as running speeds on the derailment coefficient and wheel load reduction rate of hot metal trains negotiating S-shaped small-radius curves. The optimal Latin hypercube sampling (OLHS) method was employed to randomly sample the main influencing factors: track irregularities, curve radii, curve elevations, and running speeds. Based on the response surface method, relationships were mapped between operational safety evaluation indexes and each parameter. A sensitivity analysis of factors affecting the performance of hot metal trains negotiating curves was carried out by using the gradient algorithm. The results show that, under 26 different operating conditions, the derailment coefficient of the 6 hot metal cars exhibits a consistent trend with the wheel load reduction rate, with the maximum derailment coefficient observed for the first car being most significant. Track irregularities have the greatest influence on the safety of train curve operation, followed by curve radii and curve superelevations, while running speeds exhibit little influence. |
| format | Article |
| id | doaj-art-85d09376efa84ec8bbb5b868328a149b |
| institution | OA Journals |
| issn | 1000-128X |
| language | zho |
| publishDate | 2024-11-01 |
| publisher | Editorial Department of Electric Drive for Locomotives |
| record_format | Article |
| series | 机车电传动 |
| spelling | doaj-art-85d09376efa84ec8bbb5b868328a149b2025-08-20T02:28:58ZzhoEditorial Department of Electric Drive for Locomotives机车电传动1000-128X2024-11-01778682049181Sensitivity analysis of factors influencing the curve negotiation performance of hot metal trainTIAN MingjieHUANG ZhihuiCHEN XuejingYANG QuanYU HongdaThis paper investigates the operational safety of 6-car hot metal trains negotiating S-shaped small-radius curves. Based on Simpack software, a dynamic model was established to represent a train formation consisting of 1 locomotive and 6 hot metal cars. Comparative analyses were conducted to examine the influence of track parameters, including track irregularities, curve radii, curve elevations, intermediate straight line lengths, and gauge widening, as well as running speeds on the derailment coefficient and wheel load reduction rate of hot metal trains negotiating S-shaped small-radius curves. The optimal Latin hypercube sampling (OLHS) method was employed to randomly sample the main influencing factors: track irregularities, curve radii, curve elevations, and running speeds. Based on the response surface method, relationships were mapped between operational safety evaluation indexes and each parameter. A sensitivity analysis of factors affecting the performance of hot metal trains negotiating curves was carried out by using the gradient algorithm. The results show that, under 26 different operating conditions, the derailment coefficient of the 6 hot metal cars exhibits a consistent trend with the wheel load reduction rate, with the maximum derailment coefficient observed for the first car being most significant. Track irregularities have the greatest influence on the safety of train curve operation, followed by curve radii and curve superelevations, while running speeds exhibit little influence.http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2024.06.011hot metal trainsmall-radius curvederailment factorresponse surface methodsensitivity analysis |
| spellingShingle | TIAN Mingjie HUANG Zhihui CHEN Xuejing YANG Quan YU Hongda Sensitivity analysis of factors influencing the curve negotiation performance of hot metal train 机车电传动 hot metal train small-radius curve derailment factor response surface method sensitivity analysis |
| title | Sensitivity analysis of factors influencing the curve negotiation performance of hot metal train |
| title_full | Sensitivity analysis of factors influencing the curve negotiation performance of hot metal train |
| title_fullStr | Sensitivity analysis of factors influencing the curve negotiation performance of hot metal train |
| title_full_unstemmed | Sensitivity analysis of factors influencing the curve negotiation performance of hot metal train |
| title_short | Sensitivity analysis of factors influencing the curve negotiation performance of hot metal train |
| title_sort | sensitivity analysis of factors influencing the curve negotiation performance of hot metal train |
| topic | hot metal train small-radius curve derailment factor response surface method sensitivity analysis |
| url | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2024.06.011 |
| work_keys_str_mv | AT tianmingjie sensitivityanalysisoffactorsinfluencingthecurvenegotiationperformanceofhotmetaltrain AT huangzhihui sensitivityanalysisoffactorsinfluencingthecurvenegotiationperformanceofhotmetaltrain AT chenxuejing sensitivityanalysisoffactorsinfluencingthecurvenegotiationperformanceofhotmetaltrain AT yangquan sensitivityanalysisoffactorsinfluencingthecurvenegotiationperformanceofhotmetaltrain AT yuhongda sensitivityanalysisoffactorsinfluencingthecurvenegotiationperformanceofhotmetaltrain |