Vibro-stone column filling schemes based on Group AHP
), Abstract
The group analytic hierarchy process (AHP) was used with boxplots and Spearman's rank correlation coefficient analyses. The relevant parameters of the hierarchy of decisions were calculated with Python. This multi-criteria decision-making model was then built. Previous investigations have not been reliable and the basic AHP is not always consistent. This Group AHP was then used to compare various vibro-stone column packing methods for treating the deep overburden dam foundation of a hydropower station in southwest China. The results show that the various project participants have different preferred technical routes. Designers and researchers are more inclined to choose innovative technical methods; while owners, constructors and supervisors are more inclined to use mature, reliable schemes. An intelligent feed device and a method were developed, which improve the quantity accuracy and the quality of the vibro-stone column filler for the deep overburden dam foundation.
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References
FAN Q X, LIN P, WEI P C, et al. Closed-loop control theory of intelligent construction[J]. Journal of Tsinghua University (Science & Technology), 2021, 61(7): 660-670. (in Chinese)
SAATY T L. Decision making with the analytic hierarchy process[J]. International Journal of Services Sciences, 2008, 1(1): 83-98.
LIU Y, ECKERT C M, EARL C. A review of fuzzy AHP methods for decision-making with subjective judgements[J]. Expert Systems with Applications, 2020, 161: 113738.
ZHU K Y, YANG S L. Research review on Saaty's comments on fuzzy logic is not applicable to analytic hierarchy process[J]. Systems Engineering-Theory & Practice, 2014, 34(1): 197-206. (in Chinese)
CAO D, LEUNG L C, LAW J S. Modifying inconsistent comparison matrix in analytic hierarchy process: A heuristic approach[J]. Decision Support Systems, 2008, 44(4): 944-953.
WU S H, XIE J, LIU X D, et al. Marginal optimization method to improve the inconsistent comparison matrix in the analytic hierarchy process[J]. Journal of Systems Engineering and Electronics, 2017, 28(6): 1141-1151.
JIE Y X, HU T, LI Q Y, et al. Application of analytical hierarchy process in the comprehensive safety assessment system of Yangtze River levee[J]. Journal of Tsinghua University (Science & Technology), 2004, 44(12): 1634-1637. (in Chinese)
LI X F, LI X. Study on evaluation method of facilities layout for urban disaster prevention engineering based on AHP theory[J]. China Civil Engineering Journal, 2012, 45(S2): 284-289. (in Chinese)
GONG F Q, LI X B, DENG J. Probabilistic distribution of geotechnical parameters by using AHP prior distribution fusion method[J]. Chinese Journal of Geotechnical Engineering, 2006, 28(10): 1313-1318. (in Chinese)
CHENG Z, WANG L Y. Research on algorithm for regulating judgment matrix and aggregating group information in group AHP[J]. Computer Engineering, 2007, 33(7): 184-186. (in Chinese)
ZHANG Y, ZHOU J B, JI C. Rock covering thickness of sub-sea tunnels based on group AHP[J]. Chinese Journal of Geotechnical Engineering, 2010, 32(4): 638-644. (in Chinese)
XU X, HUANG Q, REN Y, et al. Determination of index weights in suspension bridge condition assessment based on group AHP[J]. Journal of Hunan University (Natural Sciences), 2018, 45(3): 122-128. (in Chinese)
LOU X M, YU Z Q, XU S L. Review on the present situation of vibroflotation improvement method[J]. Journal of Civil Engineering and Management, 2012, 29(3): 61-66. (in Chinese)
FAN Q X, LIN P, WEI P C, et al. Intelligent construction of hydraulic engineering in high altitude areas: Challenges and strategies[J]. Journal of Hydraulic Engineering, 2021, 52(12): 1404-1417. (in Chinese)
SI C R, WANG R C, DI K, et al. A rock particle image segmentation method based on mask R-CNN and watershed algorithm[J]. Water Resources and Power, 2020, 38(11): 128-132. (in Chinese)
HU Q. Research on measuring methods for auto-quantifying error of constant feeding belt weighers[J]. China Measurement & Test, 2019, 45(6): 60-64. (in Chinese)
LEINER D J. Too fast, too straight, too weird: Non-reactive indicators for meaningless data in internet surveys[J]. Survey Research Methods, 2019, 13(3), 229-248.
REVILLA M, OCHOA C. What are the links in a web survey among response time, quality, and auto-evaluation of the efforts done?[J]. Social Science Computer Review, 2015, 33(1): 97-114.
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