Influência da irregularidade longitudinal de pavimentos na perda de carga no transporte de soja e nos demais custos operacionais

Detalhes bibliográficos
Autor(a) principal: Scherer, Renan Gustavo
Data de Publicação: 2022
Tipo de documento: Tese
Idioma: por
Título da fonte: Manancial - Repositório Digital da UFSM
Texto Completo: http://repositorio.ufsm.br/handle/1/27650
Resumo: Brazil is one of the world's largest producers of grains, but its main producing regions are far from ports and consumer centers. This generates a high demand for transportation, supplied mostly by the use of commercial motor vehicle. During the displacements, part of the product ends up being lost due to its fall through unsealed places in the bodywork, in quantity influenced by the vibration level suffered by the cargo, related to the condition of the road surface. In this sense, it is common to establish between shippers and carriers a loss limit considered acceptable. However, there are few studies that try to quantify the real loss of grains during transportation. In general, in those that do, there is no determination of any quantification and qualification parameter of the functional condition of the road, such as the pavement roughness, which can affect the loss rate. Thus, this research aimed to evaluate the influence of pavement roughness on cargo loss during bulk grain transportation and the resulting financial impacts. To this end, the soybean loss of trucks on different road segments was measured, and the pavement roughness on these same routes was determined. The data was analyzed and compared among themselves and a correlation between them was obtained. The established model relates the pavement roughness level with the relative grain loss every 100 km and presented a good statistical fit, with an R² of 0.95. The correlation was employed in evaluations, aiming to determine the impact generated by grain loss at different levels of pavement roughness. For this, the amount of soybean transported by trucks on the main route for its flow in Rio Grande do Sul was estimated and, with the IRI of the route and the established correlation, the corresponding soybean losses were calculated in product quantity and financial value, with an estimated loss of 15.48 thousand tons of soybean on this route in 2021, corresponding to R$ 47.73 million. Losses were also estimated for hypothetical scenarios of different pavement’s functional qualities on this same route, which indicated that the maintenance of the road with IRI of 1.8 m/km could generate a reduction of 5.8 thousand tons in losses, equivalent to R$ 17.95 million. To evaluate the long-term impact, the HDM-4 was used, applied to the same road route and with the models for pavement roughness progression and fuel consumption calibrated. Four maintenance scenarios were considered and vehicle operating costs were added to the analysis. It was found that the road user’s costs increased by 3,4% in relation to vehicle operating costs when considering the loss of soybeans in the evaluations. Also, that the costs with interventions over the analysis period are approximately half of the value of soybeans lost along the way in the same period and that maintaining the irregularity at lower levels (between 1.8 m/km and 2.7 m/km) throughout the analysis period leads to lower costs for users.
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spelling Influência da irregularidade longitudinal de pavimentos na perda de carga no transporte de soja e nos demais custos operacionaisInfluence of pavement roughness on the loss of cargo in soybean transportation and on other operational costsIrregularidade longitudinal do pavimentoPerda de grãosCustos para usuários de rodoviasPavement roughnessGrain lossesRoad users costsCNPQ::ENGENHARIAS::ENGENHARIA CIVILBrazil is one of the world's largest producers of grains, but its main producing regions are far from ports and consumer centers. This generates a high demand for transportation, supplied mostly by the use of commercial motor vehicle. During the displacements, part of the product ends up being lost due to its fall through unsealed places in the bodywork, in quantity influenced by the vibration level suffered by the cargo, related to the condition of the road surface. In this sense, it is common to establish between shippers and carriers a loss limit considered acceptable. However, there are few studies that try to quantify the real loss of grains during transportation. In general, in those that do, there is no determination of any quantification and qualification parameter of the functional condition of the road, such as the pavement roughness, which can affect the loss rate. Thus, this research aimed to evaluate the influence of pavement roughness on cargo loss during bulk grain transportation and the resulting financial impacts. To this end, the soybean loss of trucks on different road segments was measured, and the pavement roughness on these same routes was determined. The data was analyzed and compared among themselves and a correlation between them was obtained. The established model relates the pavement roughness level with the relative grain loss every 100 km and presented a good statistical fit, with an R² of 0.95. The correlation was employed in evaluations, aiming to determine the impact generated by grain loss at different levels of pavement roughness. For this, the amount of soybean transported by trucks on the main route for its flow in Rio Grande do Sul was estimated and, with the IRI of the route and the established correlation, the corresponding soybean losses were calculated in product quantity and financial value, with an estimated loss of 15.48 thousand tons of soybean on this route in 2021, corresponding to R$ 47.73 million. Losses were also estimated for hypothetical scenarios of different pavement’s functional qualities on this same route, which indicated that the maintenance of the road with IRI of 1.8 m/km could generate a reduction of 5.8 thousand tons in losses, equivalent to R$ 17.95 million. To evaluate the long-term impact, the HDM-4 was used, applied to the same road route and with the models for pavement roughness progression and fuel consumption calibrated. Four maintenance scenarios were considered and vehicle operating costs were added to the analysis. It was found that the road user’s costs increased by 3,4% in relation to vehicle operating costs when considering the loss of soybeans in the evaluations. Also, that the costs with interventions over the analysis period are approximately half of the value of soybeans lost along the way in the same period and that maintaining the irregularity at lower levels (between 1.8 m/km and 2.7 m/km) throughout the analysis period leads to lower costs for users.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESO Brasil é um dos maiores produtores mundiais de grãos, tendo, porém, suas principais regiões produtoras distantes dos portos e de centros consumidores, o que gera uma alta demanda de transporte, suprida em sua maior parte com o uso de veículos comerciais rodoviários. Durante os deslocamentos, parte do produto acaba sendo perdida devido a sua queda através de locais não vedados das carrocerias, em quantidade influenciada pelo nível de vibração sofrido pela carga, relacionado à condição da superfície da via. Neste sentido, é comum o estabelecimento entre embarcadores e transportadores de um limite de perda considerado aceitável. Observam-se, contudo, poucas pesquisas que buscam quantificar a real perda de grãos durante o transporte e nas que o fazem, em geral, não há a determinação de algum parâmetro de quantificação e qualificação da condição funcional da rodovia, como a irregularidade longitudinal do pavimento, que pode afetar a taxa de perda. Assim, esta pesquisa teve por objetivo avaliar a influência da irregularidade longitudinal do pavimento na perda de carga durante o transporte de grãos à granel e os impactos econômicos decorrentes. Para tal, foi mensurada a perda de soja de caminhões em diferentes segmentos viários e determinada a irregularidade longitudinal do pavimento nestes mesmos trajetos. Os dados foram analisados e comparados entre si e foi obtida uma correlação entre eles. O modelo estabelecido relaciona o nível de irregularidade longitudinal do pavimento com a perda relativa de grãos a cada 100 km, apresentando um satisfatório ajuste estatístico, com R² de 0,95. A correlação foi empregada em avaliações, visando determinar o impacto gerado pela perda de grãos em diferentes níveis de irregularidade do pavimento. Para isto, foi estimado o montante de soja transportada por caminhões no principal percurso para seu escoamento no Rio Grande do Sul e, com o IRI do percurso e a correlação estabelecida, calcularam-se as perdas de soja correspondentes em quantidade de produto e valor financeiro, sendo estimada uma perda de 15,48 mil toneladas de soja neste percurso em 2021, correspondentes a R$ 47,73 milhões. Também foram estimadas perdas para cenários hipotéticos de diferentes qualidades de rolamento nesta mesma rota, o que indicou que a manutenção da rodovia com IRI de 1,8 m/km poderia gerar uma redução de 5,8 mil toneladas nas perdas, equivalente a R$ 17,95 milhões. Para a avaliação do impacto em longo prazo, foi utilizado o HDM-4, aplicado ao mesmo percurso viário e com o modelo de progressão da irregularidade longitudinal do pavimento e do consumo de combustível calibrados. Consideraram-se quatro cenários de manutenção e foi acrescentado às análises também os custos de utilização dos veículos, sendo constatado que os custos dos usuários aumentaram 3,4% em relação aos custos operacionais dos veículos ao englobar a perda de soja nas avaliações. Também, que os custos com intervenções ao longo do período de análise são aproximadamente metade do valor da soja perdida no percurso no mesmo prazo e que a manutenção da irregularidade em níveis mais baixos (entre 1,8 m/km e 2,7 m/km) ao longo de todo o período de análises leva à menores custos para os usuários.Universidade Federal de Santa MariaBrasilEngenharia CivilUFSMPrograma de Pós-Graduação em Engenharia CivilCentro de TecnologiaPereira, Deividi da Silvahttp://lattes.cnpq.br/9639329922610388Bueno, Lucas DottoBalbo, José TadeuNascimento, Luis Alberto Herrmann doMello, Mario Fernando deSpecht, Luciano PivotoScherer, Renan Gustavo2023-01-20T19:51:58Z2023-01-20T19:51:58Z2022-12-19info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfhttp://repositorio.ufsm.br/handle/1/27650porAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2023-01-20T19:51:58Zoai:repositorio.ufsm.br:1/27650Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2023-01-20T19:51:58Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Influência da irregularidade longitudinal de pavimentos na perda de carga no transporte de soja e nos demais custos operacionais
Influence of pavement roughness on the loss of cargo in soybean transportation and on other operational costs
title Influência da irregularidade longitudinal de pavimentos na perda de carga no transporte de soja e nos demais custos operacionais
spellingShingle Influência da irregularidade longitudinal de pavimentos na perda de carga no transporte de soja e nos demais custos operacionais
Scherer, Renan Gustavo
Irregularidade longitudinal do pavimento
Perda de grãos
Custos para usuários de rodovias
Pavement roughness
Grain losses
Road users costs
CNPQ::ENGENHARIAS::ENGENHARIA CIVIL
title_short Influência da irregularidade longitudinal de pavimentos na perda de carga no transporte de soja e nos demais custos operacionais
title_full Influência da irregularidade longitudinal de pavimentos na perda de carga no transporte de soja e nos demais custos operacionais
title_fullStr Influência da irregularidade longitudinal de pavimentos na perda de carga no transporte de soja e nos demais custos operacionais
title_full_unstemmed Influência da irregularidade longitudinal de pavimentos na perda de carga no transporte de soja e nos demais custos operacionais
title_sort Influência da irregularidade longitudinal de pavimentos na perda de carga no transporte de soja e nos demais custos operacionais
author Scherer, Renan Gustavo
author_facet Scherer, Renan Gustavo
author_role author
dc.contributor.none.fl_str_mv Pereira, Deividi da Silva
http://lattes.cnpq.br/9639329922610388
Bueno, Lucas Dotto
Balbo, José Tadeu
Nascimento, Luis Alberto Herrmann do
Mello, Mario Fernando de
Specht, Luciano Pivoto
dc.contributor.author.fl_str_mv Scherer, Renan Gustavo
dc.subject.por.fl_str_mv Irregularidade longitudinal do pavimento
Perda de grãos
Custos para usuários de rodovias
Pavement roughness
Grain losses
Road users costs
CNPQ::ENGENHARIAS::ENGENHARIA CIVIL
topic Irregularidade longitudinal do pavimento
Perda de grãos
Custos para usuários de rodovias
Pavement roughness
Grain losses
Road users costs
CNPQ::ENGENHARIAS::ENGENHARIA CIVIL
description Brazil is one of the world's largest producers of grains, but its main producing regions are far from ports and consumer centers. This generates a high demand for transportation, supplied mostly by the use of commercial motor vehicle. During the displacements, part of the product ends up being lost due to its fall through unsealed places in the bodywork, in quantity influenced by the vibration level suffered by the cargo, related to the condition of the road surface. In this sense, it is common to establish between shippers and carriers a loss limit considered acceptable. However, there are few studies that try to quantify the real loss of grains during transportation. In general, in those that do, there is no determination of any quantification and qualification parameter of the functional condition of the road, such as the pavement roughness, which can affect the loss rate. Thus, this research aimed to evaluate the influence of pavement roughness on cargo loss during bulk grain transportation and the resulting financial impacts. To this end, the soybean loss of trucks on different road segments was measured, and the pavement roughness on these same routes was determined. The data was analyzed and compared among themselves and a correlation between them was obtained. The established model relates the pavement roughness level with the relative grain loss every 100 km and presented a good statistical fit, with an R² of 0.95. The correlation was employed in evaluations, aiming to determine the impact generated by grain loss at different levels of pavement roughness. For this, the amount of soybean transported by trucks on the main route for its flow in Rio Grande do Sul was estimated and, with the IRI of the route and the established correlation, the corresponding soybean losses were calculated in product quantity and financial value, with an estimated loss of 15.48 thousand tons of soybean on this route in 2021, corresponding to R$ 47.73 million. Losses were also estimated for hypothetical scenarios of different pavement’s functional qualities on this same route, which indicated that the maintenance of the road with IRI of 1.8 m/km could generate a reduction of 5.8 thousand tons in losses, equivalent to R$ 17.95 million. To evaluate the long-term impact, the HDM-4 was used, applied to the same road route and with the models for pavement roughness progression and fuel consumption calibrated. Four maintenance scenarios were considered and vehicle operating costs were added to the analysis. It was found that the road user’s costs increased by 3,4% in relation to vehicle operating costs when considering the loss of soybeans in the evaluations. Also, that the costs with interventions over the analysis period are approximately half of the value of soybeans lost along the way in the same period and that maintaining the irregularity at lower levels (between 1.8 m/km and 2.7 m/km) throughout the analysis period leads to lower costs for users.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-19
2023-01-20T19:51:58Z
2023-01-20T19:51:58Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufsm.br/handle/1/27650
url http://repositorio.ufsm.br/handle/1/27650
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Engenharia Civil
UFSM
Programa de Pós-Graduação em Engenharia Civil
Centro de Tecnologia
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Engenharia Civil
UFSM
Programa de Pós-Graduação em Engenharia Civil
Centro de Tecnologia
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Manancial - Repositório Digital da UFSM
collection Manancial - Repositório Digital da UFSM
repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com
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