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Estimation of Prestress Force Distribution in the Multi-Strand System of Prestressed Concrete Structures.

Cho K, Park SY, Cho JR, Kim ST, Park YH - Sensors (Basel) (2015)

Bottom Line: Smart strands enabling measurement of the prestress force have recently been developed to maintain PSC structures throughout their lifetime.However, the smart strand cannot give a representative indication of the whole prestress force when used in multi-strand systems since each strand sustains a different prestress force.In this paper, the actual distribution of the prestress force in a multi-strand system is examined using elastomagnetic (EM) sensors to develop a method for tracking representative indicators of the prestress force using smart strands.

View Article: PubMed Central - PubMed

Affiliation: Structural Engineering Research Institute, Korea Institute of Civil Engineering and Building Technology, 283 Goyangdae-Ro, Ilsanseo-Gu, Goyang-Si, Gyeonggi-Do 411-712, Korea. kcho@kict.re.kr.

ABSTRACT
Prestressed concrete (PSC) is one of the most reliable, durable and widely used construction materials, which overcomes the weakness of concrete in tension by the introduction of a prestress force. Smart strands enabling measurement of the prestress force have recently been developed to maintain PSC structures throughout their lifetime. However, the smart strand cannot give a representative indication of the whole prestress force when used in multi-strand systems since each strand sustains a different prestress force. In this paper, the actual distribution of the prestress force in a multi-strand system is examined using elastomagnetic (EM) sensors to develop a method for tracking representative indicators of the prestress force using smart strands.

No MeSH data available.


Related in: MedlinePlus

Comparison of the probability density functions of the prestress force with the normal distribution. (a) 7-hole system (specimen 7-1); (b) 12-hole system (specimen 12-1); (c) 19-hole system (specimen 19-1).
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sensors-15-14079-f008: Comparison of the probability density functions of the prestress force with the normal distribution. (a) 7-hole system (specimen 7-1); (b) 12-hole system (specimen 12-1); (c) 19-hole system (specimen 19-1).

Mentions: In view of the analysis of the test results in the previous section, the distribution of the prestress force was seen to exhibit some symmetry with respect to the average prestress force. Accordingly, it seemed of interest to check if the prestress force follows a normal distribution. To that end, the probability density functions described by the prestress force of the specimens at each prestress stage were compared with the normal distribution (Figure 8). The normal distribution was established using the average and standard deviation of the prestress force at each prestress stage. In addition, the probability density function of the prestress force is obtained by applying the smoothing technique [10] to prevent the problem caused by the derivation of different distributions according to the length of the intervals for the histogram. Even if the so-obtained probability density functions are seen to exhibit relatively small probability density at proximity of the average in the normal distribution, these functions fit very closely to the normal distribution. Accordingly, the probability density functions of the prestress force may be assumed as normal. The same observations can be drawn for the specimens that are not displayed in the figures.


Estimation of Prestress Force Distribution in the Multi-Strand System of Prestressed Concrete Structures.

Cho K, Park SY, Cho JR, Kim ST, Park YH - Sensors (Basel) (2015)

Comparison of the probability density functions of the prestress force with the normal distribution. (a) 7-hole system (specimen 7-1); (b) 12-hole system (specimen 12-1); (c) 19-hole system (specimen 19-1).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4507602&req=5

sensors-15-14079-f008: Comparison of the probability density functions of the prestress force with the normal distribution. (a) 7-hole system (specimen 7-1); (b) 12-hole system (specimen 12-1); (c) 19-hole system (specimen 19-1).
Mentions: In view of the analysis of the test results in the previous section, the distribution of the prestress force was seen to exhibit some symmetry with respect to the average prestress force. Accordingly, it seemed of interest to check if the prestress force follows a normal distribution. To that end, the probability density functions described by the prestress force of the specimens at each prestress stage were compared with the normal distribution (Figure 8). The normal distribution was established using the average and standard deviation of the prestress force at each prestress stage. In addition, the probability density function of the prestress force is obtained by applying the smoothing technique [10] to prevent the problem caused by the derivation of different distributions according to the length of the intervals for the histogram. Even if the so-obtained probability density functions are seen to exhibit relatively small probability density at proximity of the average in the normal distribution, these functions fit very closely to the normal distribution. Accordingly, the probability density functions of the prestress force may be assumed as normal. The same observations can be drawn for the specimens that are not displayed in the figures.

Bottom Line: Smart strands enabling measurement of the prestress force have recently been developed to maintain PSC structures throughout their lifetime.However, the smart strand cannot give a representative indication of the whole prestress force when used in multi-strand systems since each strand sustains a different prestress force.In this paper, the actual distribution of the prestress force in a multi-strand system is examined using elastomagnetic (EM) sensors to develop a method for tracking representative indicators of the prestress force using smart strands.

View Article: PubMed Central - PubMed

Affiliation: Structural Engineering Research Institute, Korea Institute of Civil Engineering and Building Technology, 283 Goyangdae-Ro, Ilsanseo-Gu, Goyang-Si, Gyeonggi-Do 411-712, Korea. kcho@kict.re.kr.

ABSTRACT
Prestressed concrete (PSC) is one of the most reliable, durable and widely used construction materials, which overcomes the weakness of concrete in tension by the introduction of a prestress force. Smart strands enabling measurement of the prestress force have recently been developed to maintain PSC structures throughout their lifetime. However, the smart strand cannot give a representative indication of the whole prestress force when used in multi-strand systems since each strand sustains a different prestress force. In this paper, the actual distribution of the prestress force in a multi-strand system is examined using elastomagnetic (EM) sensors to develop a method for tracking representative indicators of the prestress force using smart strands.

No MeSH data available.


Related in: MedlinePlus