TY - GEN
T1 - Quantitative post evaluation of repair effect by visual inspection data
AU - Mizutani, D.
AU - Kaito, K.
AU - Kobayashi, K.
PY - 2015
Y1 - 2015
N2 - When infrastructures deteriorate, they are repaired to recover their states. Enormous records of infrastructure ' s repair have already accumulated. However, there is few research of the repair effect evaluation. In this paper, the authors conduct the statistical deterioration prediction, and propose the post evaluation method of repair effects. The mixed Markov deterioration hazard model and its hierarchical Bayesian estimation are employed as concrete model and estimation method, and the heterogeneity between deterioration processes before and after the repair is evaluated quantitatively. In addition, through the relative evaluation of deterioration rates, the post evaluation of repair effects is conducted. The relative evaluation is carried out by using Wilcoxon singed rank test between heterogeneity parameters before and after the repair, and repair effects can be expressed quantitatively as the test statistic. Furthermore, the proposed method is applied to the inspection data and the repair data of RC slabs to verify its effectiveness empirically.
AB - When infrastructures deteriorate, they are repaired to recover their states. Enormous records of infrastructure ' s repair have already accumulated. However, there is few research of the repair effect evaluation. In this paper, the authors conduct the statistical deterioration prediction, and propose the post evaluation method of repair effects. The mixed Markov deterioration hazard model and its hierarchical Bayesian estimation are employed as concrete model and estimation method, and the heterogeneity between deterioration processes before and after the repair is evaluated quantitatively. In addition, through the relative evaluation of deterioration rates, the post evaluation of repair effects is conducted. The relative evaluation is carried out by using Wilcoxon singed rank test between heterogeneity parameters before and after the repair, and repair effects can be expressed quantitatively as the test statistic. Furthermore, the proposed method is applied to the inspection data and the repair data of RC slabs to verify its effectiveness empirically.
UR - http://www.scopus.com/inward/record.url?scp=84941241677&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84941241677&partnerID=8YFLogxK
U2 - 10.1201/b17618-286
DO - 10.1201/b17618-286
M3 - Conference contribution
AN - SCOPUS:84941241677
SN - 9781138001206
T3 - Life-Cycle of Structural Systems: Design, Assessment, Maintenance and Management - Proceedings of the 4th International Symposium on Life-Cycle Civil Engineering, IALCCE 2014
SP - 1923
EP - 1930
BT - Life-Cycle of Structural Systems
A2 - Furuta, Hitoshi
A2 - Frangopol, Dan M.
A2 - Akiyama, Mitsuyoshi
PB - CRC Press/Balkema
T2 - 4th International Symposium on Life-Cycle Civil Engineering, IALCCE 2014
Y2 - 16 November 2014 through 19 November 2014
ER -