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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">donstu</journal-id><journal-title-group><journal-title xml:lang="en">Advanced Engineering Research (Rostov-on-Don)</journal-title><trans-title-group xml:lang="ru"><trans-title>Advanced Engineering Research (Rostov-on-Don)</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2687-1653</issn><publisher><publisher-name>Don State Technical University</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.23947/1992-5980-2018-18-3-271-279</article-id><article-id custom-type="elpub" pub-id-type="custom">donstu-1343</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>MACHINE BUILDING AND MACHINE SCIENCE</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>МАШИНОСТРОЕНИЕ И МАШИНОВЕДЕНИЕ</subject></subj-group></article-categories><title-group><article-title>RELIABILITY-BASED DESIGN OPTIMIZATION USING OPTIMUM SAFETY FACTORS FOR LARGE-SCALE PROBLEMS</article-title><trans-title-group xml:lang="ru"><trans-title>НАДЕЖНОСТЬ ОПТИМИЗАЦИИ ДИЗАЙНА С ИСПОЛЬЗОВАНИЕМ ОПТИМАЛЬНЫХ ФАКТОРОВ БЕЗОПАСНОСТИ ДЛЯ КРУПНОМАСШТАБНЫХ ЗАДАЧ</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8344-9270</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Харманда</surname><given-names>М. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Kharmanda</surname><given-names>Gh.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Харманда Гиас - приглашенный научный сотрудник кафедры биомедицинской инженерии.</p><p>Ole Römersväg 1, Box 118, 221 00 Лунд.</p></bio><bio xml:lang="en"><p>Ghias Kharmanda - guest researcher of the Biomedical Engineering Department.</p></bio><email xlink:type="simple">ghias.kharmanda@bme.lth.se</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8141-9529</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Антибас</surname><given-names>И. Р.</given-names></name><name name-style="western" xml:lang="en"><surname>Antypas</surname><given-names>I. R.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Антибас Имад Ризакалла - доцент кафедры основ конструирования машин, кандидат технических наук, доцент.</p><p>344000, Ростов-на-Дону, пл. Гагарина, 1.</p></bio><bio xml:lang="en"><p>Antypas, Imad Rizakalla - associate professor of the Machine Design Principles Department, Cand.Sci., associate professor.</p><p>1, Gagarin sq., Rostov-on-Don, 344000.</p></bio><email xlink:type="simple">imad.antypas@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Лундский университет</institution><country>Швеция</country></aff><aff xml:lang="en"><institution>Lund University</institution><country>Sweden</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Донской государственный технический университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Don State Technical University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2018</year></pub-date><pub-date pub-type="epub"><day>29</day><month>09</month><year>2018</year></pub-date><volume>18</volume><issue>3</issue><fpage>271</fpage><lpage>279</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Kharmanda G., Antypas I.R., 2018</copyright-statement><copyright-year>2018</copyright-year><copyright-holder xml:lang="ru">Харманда М.Г., Антибас И.Р.</copyright-holder><copyright-holder xml:lang="en">Kharmanda G., Antypas I.R.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.vestnik-donstu.ru/jour/article/view/1343">https://www.vestnik-donstu.ru/jour/article/view/1343</self-uri><abstract><sec><title>Introduction</title><p>Introduction. Reliability-Based Design Optimization (RBDO) model reduces the structural weight in uncritical regions, does not only provide an improved design but also a higher level of confidence in the design.</p></sec><sec><title>Materials and Methods</title><p>Materials and Methods. The classical RBDO approach can be carried out in two separate spaces: the physical space and the normalized space. Since very many repeated researches are needed in the above two spaces, the computational time for such an optimization is a big problem. An efficient method called Optimum Safety Factor (OSF) method is developed and successfully put to use in several engineering applications. Research Results. A numerical application on a large scale problem under  fatigue  loading  shows  the  efficiency of the developed RBDO method relative to the Deterministic Design Optimization (DDO). The efficiency of the OSF method is also extended to multiple failure modes to control several out-put parameters, such as structural volume and damage criterion.</p><p>Discussion and Conclusions. The simplified implementation framework of the OSF strategy consists of a single optimization problem to evaluate the design point, and a direct evaluation of the optimum solution considering OSF formulations. It provides designers with efficient solutions that should be economic, satisfying a required reliability level with a reduced computing time.</p></sec></abstract><trans-abstract xml:lang="ru"><p>Введение. Модель, основанная на оптимизации надёжности, (RBDO) уменьшает структурный вес в некритических регионах, обеспечивает не только улучшенную конструкцию, но и более высокий уровень уверенности в дизайне. Материалы и методы. Классический подход RBDO может быть выполнен в двух отдельных пространствах: физическом  пространстве  и  нормированном  пространстве. Поскольку в вышеупомянутых двух пространствах требуется  очень  много  повторных  исследований,  расчётное время для такой оптимизации является большой проблемой.  Эффективный  метод,  называемый  Optimum  Safety Factor  (OSF),  разработан  и  успешно  применяется  к  нескольким инженерным приложениям.</p><p>Результаты   исследования.   Численное   приложение   по крупномасштабной задаче при усталостной загрузке показывает эффективность разработанного метода RBDO относительно   детерминированной   оптимизации   дизайна (DDO). Эффективность метода OSF также распространяется   на   несколько   режимов   отказоустойчивости   для управления несколькими выходными параметрами, такими как структурный объем и атрибут повреждения. Обсуждение и заключения. Упрощенная стратегия внедрения структуры OSF состоит из единственной задачи по оптимизации оценки проектной точки и прямой оценки оптимального решения с учетом составов OSF. Он предоставляет  разработчикам  эффективные  решения,  которые должны быть экономичными, удовлетворяющими требуемому уровню надежности с сокращённым расчётным временем.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>оптимизация  на  основе  надежности</kwd><kwd>структурная надежность</kwd><kwd>факторы безопасности</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Reliability-Based Design Optimization</kwd><kwd>Structural Reliability</kwd><kwd>Safety Factors</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Kharmanda, G., El-Hami, A. Reliability-Based Design Optimization, In edited book Multidisciplinary Design Optimization in Computational Mechanics . Piotr Breitkopt and Rajan Filomeno Coelho, eds. Chapter 11: Wiley &amp; Sons, April 2010, ISBN: 9781848211384, Hardback , 576 p.</mixed-citation><mixed-citation xml:lang="en">Kharmanda, G., El-Hami, A. 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