Improved Fracture Surface Analysis of Anticline Rocky Slopes Using a Modified AGA Approach: Feasibility and Effectiveness Evaluation

Yan Xiao, Dongchen Li, Can Huang, Bosong Ding and You Wang ()
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Yan Xiao: Institute of Road and Bridge Engineering, Hunan Communication Engineering Polytechnic, Changsha 410132, China
Dongchen Li: School of Civil Engineering, Central South University, Changsha 410075, China
Can Huang: School of Civil Engineering, Central South University, Changsha 410075, China
Bosong Ding: School of Civil Engineering, Central South University, Changsha 410075, China
You Wang: School of Civil Engineering, Central South University, Changsha 410075, China

Sustainability, 2023, vol. 15, issue 9, 1-16

Abstract: This study aims to evaluate the feasibility and effectiveness of a modified adaptive genetic algorithm (AGA) with Universal Distinct Element Code (UDEC) simulation in analyzing fracture surface feature points of an anticline rocky slope. Using coordinate data from 30 fracture surface feature points, the traditional GA and modified AGA methods were compared, with the mean value of the normalized Mahalanobis distance indicating the reliability of the results. The study found that the modified AGA approach with UDEC had a significantly smaller mean value of normalized Mahalanobis distance than the traditional GA approach, demonstrating its higher accuracy and reliability in analyzing the fracture surface feature points of the rocky slope. Additionally, the research found that the location of the fracture surface of the anticline rocky slope is closely related to the inhomogeneous bulk density caused by weathering. These findings contribute to sustainability efforts by improving our understanding of the behavior of rocky slopes, informing better land management and infrastructure planning, and reducing uncertainties in predicting the behavior of rocky slopes for more sustainable infrastructure development and land management practices.

Keywords: rocky slope; fracture surface feature points; rock mechanics; modified adaptive genetic algorithm (AGA); Universal Distinct Element Code (UDEC) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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