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structural performance under monotonic static loading of reinforced concrete gable roof beams with multiple web openings
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نویسنده
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hassan m.a.j. ,izzet a.f. ,oukaili n.k.
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منبع
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international journal of civil engineering - 2021 - دوره : 19 - شماره : 4 - صفحه:421 -440
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چکیده
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In the present study, an attempt has been made to experimentally investigate the flexural performance of ten simply supported reinforced concrete gable roof beams, including solid control specimen (i.e., without openings) and nine beams with web openings of different dimensions and configurations. the nine beams with openings have identical reinforcement details. all beams were monotonically loaded to failure under mid-span loading. the main variables were the number of the created openings, the total area of the created openings, and the inclination angle of the posts between openings. of interest is the load-carrying capacity, cracking resistance and propagation, deformability, failure mode, and strain development that represent the behavior of reinforced concrete gable beams. test results showed that the total concrete weight consumed for the tested gable beams with openings was lower than the solid gable beam by (14.9–26%). this reduction in weight led to a reduction in the flexural stiffness and, in turn. in the load-carrying capacity by (6.2–17.9%). the percentage of the decrease in the concrete consumption to the reduction in the load-carrying capacity for the tested beams with openings attained (140–240%). it was recorded that the maximum crack width depended on the total area of the created openings rather than the number of these openings.
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کلیدواژه
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flexural performance ,gable roof beams ,inclined posts ,openings ,vertical posts
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آدرس
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ministry of transportation, state company for implementation of transport projects, department of designs and engineering consultancy, iraq, university of baghdad, department of civil engineering, iraq, university of baghdad, department of civil engineering, iraq
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پست الکترونیکی
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nazar.oukaili@coeng.uobaghdad.edu.iq
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Authors
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