Abstract
The effect of prestress force value on the dynamic characteristic members dynamic characteristics been excessively argued among researchers till now. This study aims to perform a statistical method based on a meta-analysis investigating the influence of prestressing force on the first mode shape natural frequency of a prestressed reinforced concrete member and the related prestressing loss. The prior trials extracted from ScienceDirect, Scopus, Clarivate, and Research Gate electronic databases were used. The inclusion criteria encompass previous trials concerning experimental investigations of vibration frequencies as a function of prestressing force level with data capable of covert statistically to more meaningful information. Both analytical and numerical trials were excluded in this study. Twelve trials were matched with the objective of this review paper and satisfied the inclusion and exclusion criteria. A fixed-effects model type of meta-analysis was carried out based on the standardized mean difference. The present study shows a medium role for the prestress force in effecting the first vibration natural frequency mode. The total effect size is 0.93 standard deviations with 0.562-1.280 confident interval. The synthesized statistical analysis proves the efficiency of the meta-analysis method in predicting the influence of prestressing force on first eigenvalue frequency.
Highlights
Nowadays, prestressing techniques are excessively applied for an extensive range of structural members, such as railway sleeper as a small member to long-span bridge as a large member
The steel structure is mainly influenced by a small number of uncertainties, which is approximately be accepted for the service level modal analysis
The results indicated a significant increase in the first natural frequency due to the effect of prestress force
Summary
Nowadays, prestressing techniques are excessively applied for an extensive range of structural members, such as railway sleeper as a small member to long-span bridge as a large member. The damage detection throughout structural identification procedures, especially in infrastructures, is considered a demand tool since they can catch the structural deficiencies and reduce the collapse risk. The reliability of these procedures is significantly affected by several parameters, especially the material type employed for the structure construction It is known, accurate estimations of the dynamic character can be achieved for steel structures compared with concrete ones. The steel structure is mainly influenced by a small number of uncertainties (temperature variation, external support type, and non-structural masses), which is approximately be accepted for the service level modal analysis. Where in this level, the geometrical properties are well defined. Both reinforced and prestressed concrete members, besides the uncertainties show by steel structures, the nonlinear behavior in compression and tension due to crushing and cracking affects both position and amount of reinforcing rebar prestressing steel, prestressing profile, and prestressing force level
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