Guidance for the post-fire structural assessment of prestressing steel

Jeanneret, Chloe; Nicoletta, Benjamin; Robertson, Lucie; Gales, John; Kotsovinos, Panagiotis

doi:10.1016/j.engstruct.2021.112023

Cited by 8 publications

(8 citation statements)

References 15 publications

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“…Because of the reduced traffic flow in the area, business owners around the job site experienced a decrease in customer flow and thus lower earnings. Addressing such problems, the State of Georgia, also several other counties, revised its storing rules [21,22].…”

Section: I-85 Bridge Near Atlanta Georgia 2017mentioning

confidence: 99%

“…Some small stress relaxation was remarked in the prestressing steel while severe spalling occurred, resulting in temperatures as high as 500 C in the steel. Even though the assessors concluded that the steel would maintain its basic material characteristics, they replaced the steel girders [22,24]. spalling causing exposure of steel and a reddish concrete color was reported by the engineers.…”

Section: Puyallup River Usa 2002mentioning

confidence: 99%

“…Two load tests were conducted to analyze the bridge behavior within six years. Compared to the first load assessment, the second was similar, which may be because of the interim fixes [22,25].…”

Section: Puyallup River Usa 2002mentioning

confidence: 99%

“…The assessors concluded that at spots where the concrete cover was not damaged, no significant tension losses occurred, however, where the prestressing steel was observed, less than 15% losses occurred. Hence, overall, this resulted in a greater than 60% loss in tensile strength, and significant losses in the exposed steel at places in which the concrete layer was fully destroyed [22,26].…”

Section: Deans Brook Viaduct United Kingdom 2011mentioning

confidence: 99%

“…The use of HDPE as a corrosion protective sheath itself exacerbated the fire as contributed to the fuel load and causes the fire to be extended, which resulted in bridge damage. The replacement of two cables took two months with disruption of traffic flow on the bridge [22,27].…”

Section: Mezcala Bridge Mexico 2007mentioning

confidence: 99%

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Prediction of Bridge Fires Characteristics Using Machine Learning

Mehrpour¹

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Bridges are an essential component of transportation systems for traffic passage across natural or man-made obstacles. Modern urban trends and growing travel patterns have resulted in a rise in the number of bridges on motorways to avoid road conflict. A major fire might cause irreversible structural deterioration or perhaps the bridge's failure. This research studies the critical factors of bridge fire incidents using a comprehensive database containing 171 bridges. Using an Artificial Neural Network (ANN) model, the vulnerability of bridges in fire is estimated, and the extent of damage is determined based on several key factors including bridge proximity to urban, suburban, or rural areas, structural system, construction materials, annual average daily traffic (AADT), ignition source, combustible types, position of the fires, and the fire-caused damage level. The influence of each parameter on the bridge fires damage levels is investigated. Suggesting measures to reduce the risk of damage, damage levels of fire incidents in different bridges for different scenarios is predicted and a comprehensive and accurate model for definition of vulnerability of bridges under fires is proposed. The outcome of this research will help predict the risk of fire in bridges with various characteristics and the level of damage.

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Section: I-85 Bridge Near Atlanta Georgia 2017mentioning

confidence: 99%

Section: Puyallup River Usa 2002mentioning

confidence: 99%

Section: Puyallup River Usa 2002mentioning

confidence: 99%

Section: Deans Brook Viaduct United Kingdom 2011mentioning

confidence: 99%

Section: Mezcala Bridge Mexico 2007mentioning

confidence: 99%

See 3 more Smart Citations