Araştırma Makalesi

Nonlinear Static Analysis of Ordinary Highway Bridges Considering Geometry and Material Uncertainties

Cilt: 34 Sayı: 2 30 Eylül 2022
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Nonlinear Static Analysis of Ordinary Highway Bridges Considering Geometry and Material Uncertainties

Öz

Material properties are an initial critical step to correctly determine the structure's capacities. Although there are many uncertainties, with the help of the probabilistic approach, the structural components' material strength was determined deterministically. The assumptions made to determine the material strengths generate additional uncertainties in determining the strength of the structures. Nowadays, developing computer technologies enable the determination of the strength capacities of structures with probabilistic approaches that consider these uncertainties in designing structural components. For this reason, while the approaches followed in the regulations included completely deterministic analyses in the past, quasi-statistical methods are used today, and studies are carried out to develop entirely statistical approaches. Therefore, to determine the structure's actual behavior, the uncertainties in the structural components should be taken into account. However, a practical and up-to-date approach has not been developed yet, and the existing methods impose an extensive analytical and computational burden. In this study, an ordinary single-column bridge in Türkiye was considered. Furthermore, the moment-curvature relationship of the pier was simulated considering material uncertainties. In addition, the differences in column heights and span lengths were modeled with the help of the Monte-Carlo simulation. Incremental static analyses were performed, and the lateral load-carrying capacities of the bridge were simulated.

Anahtar Kelimeler

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

30 Eylül 2022

Gönderilme Tarihi

8 Haziran 2022

Kabul Tarihi

15 Ağustos 2022

Yayımlandığı Sayı

Yıl 2022 Cilt: 34 Sayı: 2

Kaynak Göster

APA
Yilmaz, M. F. (2022). Nonlinear Static Analysis of Ordinary Highway Bridges Considering Geometry and Material Uncertainties. Fırat Üniversitesi Fen Bilimleri Dergisi, 34(2), 129-137. https://izlik.org/JA78WS79PF
AMA
1.Yilmaz MF. Nonlinear Static Analysis of Ordinary Highway Bridges Considering Geometry and Material Uncertainties. Fırat Üniversitesi Fen Bilimleri Dergisi. 2022;34(2):129-137. https://izlik.org/JA78WS79PF
Chicago
Yilmaz, Mehmet Fatih. 2022. “Nonlinear Static Analysis of Ordinary Highway Bridges Considering Geometry and Material Uncertainties”. Fırat Üniversitesi Fen Bilimleri Dergisi 34 (2): 129-37. https://izlik.org/JA78WS79PF.
EndNote
Yilmaz MF (01 Eylül 2022) Nonlinear Static Analysis of Ordinary Highway Bridges Considering Geometry and Material Uncertainties. Fırat Üniversitesi Fen Bilimleri Dergisi 34 2 129–137.
IEEE
[1]M. F. Yilmaz, “Nonlinear Static Analysis of Ordinary Highway Bridges Considering Geometry and Material Uncertainties”, Fırat Üniversitesi Fen Bilimleri Dergisi, c. 34, sy 2, ss. 129–137, Eyl. 2022, [çevrimiçi]. Erişim adresi: https://izlik.org/JA78WS79PF
ISNAD
Yilmaz, Mehmet Fatih. “Nonlinear Static Analysis of Ordinary Highway Bridges Considering Geometry and Material Uncertainties”. Fırat Üniversitesi Fen Bilimleri Dergisi 34/2 (01 Eylül 2022): 129-137. https://izlik.org/JA78WS79PF.
JAMA
1.Yilmaz MF. Nonlinear Static Analysis of Ordinary Highway Bridges Considering Geometry and Material Uncertainties. Fırat Üniversitesi Fen Bilimleri Dergisi. 2022;34:129–137.
MLA
Yilmaz, Mehmet Fatih. “Nonlinear Static Analysis of Ordinary Highway Bridges Considering Geometry and Material Uncertainties”. Fırat Üniversitesi Fen Bilimleri Dergisi, c. 34, sy 2, Eylül 2022, ss. 129-37, https://izlik.org/JA78WS79PF.
Vancouver
1.Mehmet Fatih Yilmaz. Nonlinear Static Analysis of Ordinary Highway Bridges Considering Geometry and Material Uncertainties. Fırat Üniversitesi Fen Bilimleri Dergisi [Internet]. 01 Eylül 2022;34(2):129-37. Erişim adresi: https://izlik.org/JA78WS79PF