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유전자 알고리즘을 이용한 HWAW 방법을 위한 자동화 역산 방법의 개발

Development of Automated Inversion Method for HWAW Method Using Genetic Algorithm

  • 투고 : 2012.03.22
  • 심사 : 2012.07.11
  • 발행 : 2012.08.31

초록

깊이에 따른 지반의 전단파 속도(또는 전단탄성계수) 분포는 일반적인 지반 해석 설계 또는 지진해석과 같은 다양한 지반공학분야에서 사용되는 중요한 물성치이다. 이러한 지반의 전단파속도 주상도는 탄성파 탐사를 통해 결정할 수 있으며, 이를 위한 다양한 탄성파 탐사 방법이 연구개발 되어 있다. 표면파 탐사법은 모든 실험이 지표면에서 이루어지는 탄성파 탐사법들 중의 하나로서 현장 실험, 파장(또는 주파수)에 따른 표면 계측파의 위상속도 곡선인 분산곡선의 결정, 역산을 통한 대상 지반의 전단파 속도 주상도의 결정으로 동일하게 구성되어 있다. 본 논문에서는 표면파 실험을 위한 자동화된 역산 방법을 개발하였으며, 제안된 방법을 가장 최근에 개발된 표면파 탐사법들 중 하나인 HWAW(Harmonic Wavelet Analysis of Waves) 방법에 적용하였다. 제안된 방법에서는 새로운 오차함수를 제안하고 이를 이용한 유전자 알고리즘을 역산에 사용하였다. 제안된 방법의 타당성을 검토하고자 수치모의 실험과 현장 실험을 수행하였으며, 이를 통해 제안된 방법의 현장 적용성 및 타당성을 확인할 수 있었다.

The evaluation of shear modulus (or shear wave velocity) profile of the site is very important in various fields of geotechnical engineering and various surface wave methods have applied to determine the shear wave velocity profiles and showed good performance. Surface wave methods evaluate the dispersion curve in the field and determine the shear wave velocity profile through the inversion process. In this paper, the automated inversion process using the genetic algorithm is developed for HWAW method which is one of surface wave methods recently developed. The proposed method uses the error function based on the wavelength domain dispersion curve and can determine the reliable shear wave velocity profile not only in shallow depth but also in deep depth. To estimate the validity of the proposed method, numerical simulations and field test were performed and the proposed method was applied to determine the shear wave velocity profiles. Through the numerical simulations and field applications, the promising potential of the proposed method was verified.

키워드

참고문헌

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피인용 문헌

  1. 입자 군집 최적화법을 이용한 소형루프 전자탐사 자료의 층서구조 전기비저항 역해석 vol.22, pp.4, 2019, https://doi.org/10.7582/gge.2019.22.4.186