Optimization of the dimensions of the Tablachaca sand trap dam with the application of HEC-RAS in Peru

Descripción del Articulo

This article will detail the steps to model a sand trap in the HEC-RAS software and once modeled, which variables can be modified to obtain greater decantation of particles in the sand trap. The sand trap to be modeled is the one found in the Tablachaca dam. In the first place, the process of design...

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Detalles Bibliográficos
Autores: Guillen, Carlos Banos, Aguila, Juan Diego Guerra Del, Gutierrez, Ruben Mogrovejo
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/673076
Enlace del recurso:http://hdl.handle.net/10757/673076
Nivel de acceso:acceso embargado
Materia:dam
granulometry
improvement of sedimentation
Sand trap
sediments
https://purl.org/pe-repo/ocde/ford#2.00.00
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oai_identifier_str oai:repositorioacademico.upc.edu.pe:10757/673076
network_acronym_str UUPC
network_name_str UPC-Institucional
repository_id_str 2670
dc.title.es_PE.fl_str_mv Optimization of the dimensions of the Tablachaca sand trap dam with the application of HEC-RAS in Peru
title Optimization of the dimensions of the Tablachaca sand trap dam with the application of HEC-RAS in Peru
spellingShingle Optimization of the dimensions of the Tablachaca sand trap dam with the application of HEC-RAS in Peru
Guillen, Carlos Banos
dam
granulometry
improvement of sedimentation
Sand trap
sediments
https://purl.org/pe-repo/ocde/ford#2.00.00
title_short Optimization of the dimensions of the Tablachaca sand trap dam with the application of HEC-RAS in Peru
title_full Optimization of the dimensions of the Tablachaca sand trap dam with the application of HEC-RAS in Peru
title_fullStr Optimization of the dimensions of the Tablachaca sand trap dam with the application of HEC-RAS in Peru
title_full_unstemmed Optimization of the dimensions of the Tablachaca sand trap dam with the application of HEC-RAS in Peru
title_sort Optimization of the dimensions of the Tablachaca sand trap dam with the application of HEC-RAS in Peru
author Guillen, Carlos Banos
author_facet Guillen, Carlos Banos
Aguila, Juan Diego Guerra Del
Gutierrez, Ruben Mogrovejo
author_role author
author2 Aguila, Juan Diego Guerra Del
Gutierrez, Ruben Mogrovejo
author2_role author
author
dc.contributor.author.fl_str_mv Guillen, Carlos Banos
Aguila, Juan Diego Guerra Del
Gutierrez, Ruben Mogrovejo
dc.subject.es_PE.fl_str_mv dam
granulometry
improvement of sedimentation
Sand trap
sediments
topic dam
granulometry
improvement of sedimentation
Sand trap
sediments
https://purl.org/pe-repo/ocde/ford#2.00.00
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.00.00
description This article will detail the steps to model a sand trap in the HEC-RAS software and once modeled, which variables can be modified to obtain greater decantation of particles in the sand trap. The sand trap to be modeled is the one found in the Tablachaca dam. In the first place, the process of designing a sand trap and the variables involved will be explained. Then, it will be explained which variables of the sand trap and contour (environment) intervene in the modeling, to develop the numerical modeling in the HEC-RAS software. It has been determined that the sand trap is divided into 4 naves, each approximately 9 meters wide and 120 meters long, and, for modeling, it was decided to model a single nave. Data on the granulometry of the sediments and flows that reach the Tablachaca dam were obtained from previous works. When modeling the sand trap in HEC-RAS, there is a sedimentation layer of approximately 2.54 centimeters on the side closest to the dam (downstream).
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2024-03-16T23:25:48Z
dc.date.available.none.fl_str_mv 2024-03-16T23:25:48Z
dc.date.issued.fl_str_mv 2023-01-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.doi.none.fl_str_mv 10.1109/CONIITI61170.2023.10324115
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/673076
dc.identifier.journal.es_PE.fl_str_mv 2023 9th International Conference on Innovation and Trends in Engineering, CONIITI 2023 - Proceedings
dc.identifier.eid.none.fl_str_mv 2-s2.0-85179548960
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85179548960
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 10.1109/CONIITI61170.2023.10324115
2023 9th International Conference on Innovation and Trends in Engineering, CONIITI 2023 - Proceedings
2-s2.0-85179548960
SCOPUS_ID:85179548960
0000 0001 2196 144X
url http://hdl.handle.net/10757/673076
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.es_PE.fl_str_mv application/html
dc.publisher.es_PE.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
dc.source.es_PE.fl_str_mv Universidad Peruana de Ciencias Aplicadas (UPC)
Repositorio Academico - UPC
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv 2023 9th International Conference on Innovation and Trends in Engineering, CONIITI 2023 - Proceedings
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bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Repositorio Académico UPC
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spelling 78d3e009bb6aae928d86f3ccd286f5c33008387bb7533d3cf2ccce880e9bf344e48300b28e0014817eee26525684bd588a4651Guillen, Carlos BanosAguila, Juan Diego Guerra DelGutierrez, Ruben Mogrovejo2024-03-16T23:25:48Z2024-03-16T23:25:48Z2023-01-0110.1109/CONIITI61170.2023.10324115http://hdl.handle.net/10757/6730762023 9th International Conference on Innovation and Trends in Engineering, CONIITI 2023 - Proceedings2-s2.0-85179548960SCOPUS_ID:851795489600000 0001 2196 144XThis article will detail the steps to model a sand trap in the HEC-RAS software and once modeled, which variables can be modified to obtain greater decantation of particles in the sand trap. The sand trap to be modeled is the one found in the Tablachaca dam. In the first place, the process of designing a sand trap and the variables involved will be explained. Then, it will be explained which variables of the sand trap and contour (environment) intervene in the modeling, to develop the numerical modeling in the HEC-RAS software. It has been determined that the sand trap is divided into 4 naves, each approximately 9 meters wide and 120 meters long, and, for modeling, it was decided to model a single nave. Data on the granulometry of the sediments and flows that reach the Tablachaca dam were obtained from previous works. When modeling the sand trap in HEC-RAS, there is a sedimentation layer of approximately 2.54 centimeters on the side closest to the dam (downstream).ODS 9: Industria, Innovación e InfraestructuraODS 6: Agua Limpia y SaneamientoODS 13: Acción por el Climaapplication/htmlengInstitute of Electrical and Electronics Engineers Inc.info:eu-repo/semantics/embargoedAccessUniversidad Peruana de Ciencias Aplicadas (UPC)Repositorio Academico - UPC2023 9th International Conference on Innovation and Trends in Engineering, CONIITI 2023 - Proceedingsreponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCdamgranulometryimprovement of sedimentationSand trapsedimentshttps://purl.org/pe-repo/ocde/ford#2.00.00Optimization of the dimensions of the Tablachaca sand trap dam with the application of HEC-RAS in Peruinfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/673076/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/673076oai:repositorioacademico.upc.edu.pe:10757/6730762025-10-30 07:44:05.29Repositorio Académico UPCupc@openrepository.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