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Assessment of Displacement and Axial Force of Earth Retaining Wall at Each Excavation Step Using Direct Algorithm Back Analysis

직접알고리즘 역해석 기법을 이용한 굴착단계별 흙막이 가시설 변위 및 축력의 적정성 평가

  • So-Ra Kang (Civil Engineering Business Team, Midas IT) ;
  • Je-Seok Jeon (Construction SW Business Department, Midas IT) ;
  • Yeong-Jin Lee (Dept. of Civil and Environment Engineering, Daejin Univ.) ;
  • Jun-Seok Lee (Dept. of Civil and Environment Engineering, Daejin Univ.) ;
  • Kang-Il Lee (Dept. of Smart Construction and Environmental Engineering, Daejin Univ.)
  • Received : 2024.02.06
  • Accepted : 2024.03.05
  • Published : 2024.03.30

Abstract

In this study, direct algorithm-based back analysis was utilized to perform back analysis on two actual earth retaining wall fields, which was then compared with genetic algorithm-based method to evaluate the suitability of the back analysis. Additionally, in order to propose effective utilization methods of the program, the measurement data, as the input for the back analysis, was varied for each excavation step, and the applicability of the back analysis results(displacement, axial force) was examined. The research findings indicate that both direct algorithm and genetic algorithm show high applicability; however, the optimization for this program is better predicted by the direct algorithm. Moreover, in order to effectively use the back analysis program employing the direct algorithm, it was evaluated that relatively accurate prediction of the earth retaining wall behavior could be achieved by inputting measurement data from the 7th excavation step for fields with final excavation steps ranging from 8 to 11.

본 연구에서는 직접 알고리즘이 적용된 역해석 기법을 이용하여 실제 흙막이 벽체 현장 2개소를 대상으로 역해석을 수행하였으며 이를 유전알고리즘과 비교하여 역해석 기법의 적정성을 평가하였다. 또한, 프로그램의 효과적인 활용방안을 제시하기 위해 역해석 입력값인 계측 데이터를 굴착단계별로 다르게 입력한 후 역해석 결과(변위, 부재력)의 적용성을 검토하였다. 연구 결과, 직접알고리즘과 유전알고리즘 모두 적용성이 높으나 본 프로그램에 대한 최적화는 직접알고리즘이 더 잘 예측되는 것으로 평가되었다. 또한 직접알고리즘이 적용된 역해석 프로그램을 효과적으로 사용하기 위해서는 최종 굴착단계가 8단계~11단계인 현장을 대상으로 7단계 굴착시의 계측데이터를 입력할 경우 비교적 정확한 흙막이 거동을 예측할 수 있는 것으로 평가되었다.

Keywords

References

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