Studying the issue of calculations ambiguity at determining the amount of loaded cargo

Author:

Galin A. V.1,Slitsan A. E.1,Vinogradova E. V.1

Affiliation:

1. Admiral Makarov State University of Maritime and Inland Shipping

Abstract

A unified algorithm for calculating the amount of loaded cargo is provided in the paper. The algorithm checks the vessel readiness to carry out survey work, on the basis of which further operations or the elimination of inconsistencies that have arisen, are proposed. Attention is paid in detail to the measurements carried out during the draft survey, necessary for calculating the average draft of the vessel. The error value is given as a percentage of the deadweight of the vessel, depending on the measured source. The necessary conditions for the issuance of a permit by a surveyor to carry out loading and unloading operations on a ship after checking the conformity of the results obtained with the declared data are defined in the paper. The “Bow-and-stern Sediment diagram” is investigated as a method intended for approximate, but at the same time fast, non-commercial calculation. It is proved that the calculation of the vessel displacement based on this diagram leads to a significant error resulting from a fundamental misunderstanding of the draft survey process and its purpose. The most common mistakes at using ship’s documents, as well as the formulas use, are discussed in the paper. The ways of reducing inaccuracies in calculations are determined. It’s substantiated in the paper that the use of the “average draft” and “river” formulas cannot be carried out for all types of vessels due to their possible specific design features, in particular, additional grades of deepening and the presence of hull bending. The specifics of the ship’s register documents are given. The values of errors are also analyzed if there are only register documents on the ship. It’s proved in the paper that the proposed unified algorithm for calculating the amount of loaded cargo is quite accurate compared to other methods considered. 

Publisher

Admiral Makarov State University of Maritime and Inland Shipping

Subject

Colloid and Surface Chemistry,Physical and Theoretical Chemistry

Reference10 articles.

1. Li, S. V., O. Zh. Rabat, N. D. Saidinbaeva, and A. N. Salmanova. “Innovatsionnaya tekhnologiya po razgruzke massovykh navalochnykh gruzov.” Novosti nauki Kazakhstana 2(144) (2020): 60–65.

2. Sitov, Alexandr N., Vladimir A. Malovechko, and Andrey E. Slitsan. “Sea transportation of direct reduced iron in bulk.” Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova 10.6 (2018): 1162–1178. DOI: 10.21821/2309-5180-2018-10-6-1162-1178.

3. Galin, Alexander Valentinovich, Alexander Aleksandrovich Dmitriev, and Erika Vladimirovna Vinogradova. “Economic development of society and cargo transportation systems.” Vestnik of Astrakhan state technical university 1(69) (2020): 7–12. DOI: 10.24143/1812-9498-2020-1-7-12.

4. Aref’ev, A. A. “Spetsifika transportirovki navalochnykh gruzov.” Sovremennye voprosy ekonomiki i upravleniya. Sbornik nauchnykh trudov I Mezhdunarodnoi nauchno-prakticheskoi konferentsii. Kinel’: Samarskaya gosudarstvennaya sel’skokhozyaistvennaya akademiya, 2018. 228–230.

5. Ivanovskii, A. N., A. S. Siushkina, and Yu. D. Shpatovich. “Raschet i programmnaya realizatsiya protsedury draft syurvei v ramkakh prakticheskogo kursa «Avtomatizatsiya sudovozhdeniya».” Sovremennye tendentsii prakticheskoi podgotovki v morskom obrazovanii. Materialy III natsional’noi nauchno-prakticheskoi konferentsii. Kerch’: FGBOU VO «Kerchenskii gosudarstvennyi morskoi tekhnologicheskii universitet», 2022. 291–297.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3