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Экспериментально-статистическое моделирование работы железобетонных колонн, поврежденных в процессе эксплуатации

Experimental-statistical modeling of the work of ferro-concrete columns damaged in the operation process
Authors: Klymenko, I.; Dovgan, A.D.; Kos, Željko;

Экспериментально-статистическое моделирование работы железобетонных колонн, поврежденных в процессе эксплуатации

Abstract

В ходе проведенных экспериментально- статистических исследований выполнено планирование эксперимента для трех наиболее значащих факторов, влияющих на остаточную несущую способность поврежденных железобетонных колонн прямоугольного поперечного сечения, а именно: высоты колонны (гибкости) ; угла наклона фронта повреждения и глубины повреждения. Результаты позволили установить влияние на несущую способность каждого из выбранных факторов, а также взаимное влияние факторов. По оценкам экспериментально-статистической модели и однофакторным локальным полям, наибольшее влияние на несущую способность оказывает угол откола повреждения в сечении колонны.

Keywords

экспериментально-статистическое моделирование, железобетонные колонны, повреждение, несущая способность

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green