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2025 Vol.41, Issue 6 Preview Page
Field Study on the Correlation between Intelligent Compaction Measurement Values and Location-Specific In-Situ Test Results

현장시험을 통한 지능형 다짐값과 일점품질시험 간 상관성 평가

Sung-Ha Baek1
,
Jin-Woo Cho2*
백 성하1
,
조 진우2*
1Member, Assistant Prof., School of Civil and Environmental Engineering & Construction Engineering Research Institute, Hankyong National Univ.
2Member, Research Fellow, Department of Geotechnical Engineering, Korea Institute of Civil Engineering and Building Technology
1정회원, 한경국립대학교 건설환경공학부 조교수
2정회원, 한국건설기술연구원 지반연구본부 연구위원
*Corresponding Author
31 December 2025. pp. 237-250
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Abstract

This study evaluates correlations between compaction meter value (CMV) and location-specific in-situ test results through field compaction tests. CMV, light-weight deflectometer, and dynamic cone penetrometer results collected at multiple locations reflected improved average compaction quality with increasing roller passes, while their coefficients of variation (approximately 20–40%) revealed substantial spatial variability due to heterogeneity in fill material and moisture. In contrast, dry density and stiffness modulus values measured only twice per compaction stage did not show an increasing trend, indicating that a small number of in-situ tests cannot reliably represent compaction quality across a large construction area. Among point-by-point, all-average, and area-based correlation methods, the area-based method produced the highest correlations. Optimal region-of-interest (ROI) radii were determined as 1.5 m (dry density), 3.5 m (stiffness modulus), 2.5 m (ELWD), and 2.0 m (DPI). Based on these results, we propose a procedure to determine target CMV values by deriving a linear regression between average CMV within the optimal ROI and stiffness-based in-situ test results, thereby identifying target CMV values that satisfy the required quality criteria.

Keywords
Compaction meter value
Compaction quality
In-situ tests
Intelligent compaction
Region-of-interest

본 연구에서는 현장시험을 통해 대표적인 지능형 다짐값(CMV)과 일점품질시험(들밀도시험, 평판재하시험, LWD 시험, DCP 시험) 간의 상관성을 체계적으로 평가했다. CMV 및 다수 지점에서 수행된 LWD와 DCP 시험 결과는 반복 다짐에 따른 평균적 다짐품질 향상을 명확히 반영했으며, 변동계수가 약 20~40% 범위로 나타나 성토재료 및 함수비 불균질성에 기인한 공간적 변동성이 매우 컸다. 반면, 각 단계에서 두 지점만 측정된 건조단위중량과 지지력계수는 다짐횟수 증가에 따른 뚜렷한 증가 경향을 보이지 않아, 제한된 일점품질시험만으로는 넓은 시공면의 다짐 상태를 대표하기 어렵다는 점이 드러났다. 단일점 기반 분석, 전체 평균 분석, 영역 기반 분석을 비교한 결과, 영역 기반 분석이 가장 높은 상관성을 보였으며, 최적 ROI 반경은 건조단위중량 1.5 m, 지지력계수 3.5 m, ELWD 2.5 m, DPI 2.0 m로 도출되었다. 이를 바탕으로 본 연구에서는 최적 ROI 내 CMV 평균값과 강성 기반 일점품질시험 결과 간의 선형 회귀식을 도출하고, 품질 기준을 만족하는 일점품질시험 값과 대응하는 CMV를 목표 지능형 다짐값으로 설정하는 절차를 제안했다.

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Information
  • Publisher :The Korean Geotechnical Society
  • Publisher(Ko) :한국지반공학회
  • Journal Title :Journal of the Korean Geotechnical Society
  • Journal Title(Ko) :한국지반공학회 논문집
  • Volume : 41
  • No :6
  • Pages :237-250
  • Received Date : 2025-11-20
  • Revised Date : 2025-12-02
  • Accepted Date : 2025-12-03
  • DOI :https://doi.org/10.7843/kgs.2025.41.6.237
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