• Title/Summary/Keyword: Hyperbolic Settlement Prediction Method

Search Result 34, Processing Time 0.025 seconds

Settlement Prediction Accuracy Analysis of Weighted Nonlinear Regression Hyperbolic Method According to the Weighting Method (가중치 부여 방법에 따른 가중 비선형 회귀 쌍곡선법의 침하 예측 정확도 분석)

  • Kwak, Tae-Young ;Woo, Sang-Inn;Hong, Seongho ;Lee, Ju-Hyung;Baek, Sung-Ha
    • Journal of the Korean Geotechnical Society
    • /
    • v.39 no.4
    • /
    • pp.45-54
    • /
    • 2023
  • The settlement prediction during the design phase is primarily conducted using theoretical methods. However, measurement-based settlement prediction methods that predict future settlements based on measured settlement data over time are primarily used during construction due to accuracy issues. Among these methods, the hyperbolic method is commonly used. However, the existing hyperbolic method has accuracy issues and statistical limitations. Therefore, a weighted nonlinear regression hyperbolic method has been proposed. In this study, two weighting methods were applied to the weighted nonlinear regression hyperbolic method to compare and analyze the accuracy of settlement prediction. Measured settlement plate data from two sites located in Busan New Port were used. The settlement of the remaining sections was predicted by setting the regression analysis section to 30%, 50%, and 70% of the total data. Thus, regardless of the weight assignment method, the settlement prediction based on the hyperbolic method demonstrated a remarkable increase in accuracy as the regression analysis section increased. The weighted nonlinear regression hyperbolic method predicted settlement more accurately than the existing linear regression hyperbolic method. In particular, despite a smaller regression analysis section, the weighted nonlinear regression hyperbolic method showed higher settlement prediction performance than the existing linear regression hyperbolic method. Thus, it was confirmed that the weighted nonlinear regression hyperbolic method could predict settlement much faster and more accurately.

The Optimization of Hyperbolic Settlement Prediction Method with the Field Data for Preloading on the Soft Ground (쌍곡선법을 이용한 계측 기반 연약지반 침하 거동 예측의 최적화 방안)

  • Choo, Yoon-Sik;Kim, June-Hyoun;Hwang, Se-Hwan;Chung, Choong-Ki
    • Proceedings of the Korean Geotechical Society Conference
    • /
    • 2010.03a
    • /
    • pp.457-467
    • /
    • 2010
  • The settlement prediction is very important to preloading method for a construction site on a soft ground. At the design stage, however, it is hard to predict the settlement exactly due to limitations of the site survey. Most of the settlement prediction is performed by a regression settlement curve based on the field data during a construction. In Korea, hyperbolic method has been most commonly used to align the settlement curve with the field data, because of its simplicity and many application cases. The results from hyperbolic method, however, may be differed by data selections or data fitting methods. In this study, the analyses using hyperbolic method were performed about the field data of $\bigcirc\bigcirc$ site in Pusan. Two data fitting methods, using an axis transformation or an alternative method, were applied with the various data group. If data was used only after the ground water level being stabilized, fitting results using both methods were in good agreement with the measured data. Without the information about the ground water level, the alternative method gives better results with the field data than the method using an axis transformation.

  • PDF

A Study on the Evaluation of Reliability for Settlement Predictions by Hyperbolic Method (침하예측을 위한 쌍곡선 식의 신뢰성 평가에 관한 연구)

  • 이승우;김유석
    • Geotechnical Engineering
    • /
    • v.13 no.6
    • /
    • pp.5-12
    • /
    • 1997
  • Predictions of settlements under preloading for the improvement of soft soil is a very important element of construction management. Due to the non uniformity, difficulty of estimating resonable soil properties, predictions of settlements and settlement velocities at the design stage seldom agree with the actual future settlements. To overcome this problem, the prediction methods based on the settlement observation of initial preloading stage such as hyperbolic method and Asaoka method have been employed frequently. However the estimating method for the reliability of these predictions at the time of prediction has not been suggested. In this study, comparisons of predicted settlements by hyperbolic met hed and observed settlements are explored through case studies. And a stratagem of estimating reliability of settlement predictions by hyperbolic method is suggested as the result of investigation on the relationship between the initial observed time and error of settlement prediction by hyperbolic method.

  • PDF

A Study on the Applicability of Hyperbolic Settlement Prediction Method to Consolidation Settlement in the Dredged and Reclaimed Ground (준설매립지반의 압밀침하에 대한 쌍곡선 침하예측기법의 적용성 연구)

  • Yoo, Nam-Jae;Jun, Sang-Hyun;Jeon, Jin-Yong
    • Journal of Industrial Technology
    • /
    • v.28 no.A
    • /
    • pp.11-17
    • /
    • 2008
  • Applicability of hyperbolic settlement prediction method to consolidation settlement in the dredged and reclaimed ground was assessed by analyzing results of centrifuge tests modelling self-weight consolidation of soft marine clay. From literature review about self-weight consolidation of soft marine clays located in southern coast in Korea, constitutive relationships of void ratio - effective stress - permeability and typical self-weight consolidation curves with time were obtained by analyzing centrifuge model experiments. For the condition of surcharge loading, exact solution of consolidation settlement curve obtained by using Terzaghi's consolidation theory was compared with results predicted by the hyperbolic method. It was found to have its own inherent error to predict final consolidation settlement. From results of analyzing thc self-weight consolidation with time by using this method, it predicted relatively well in error range of 0.04~18% for the case of showing the linearity in the relationship between T vs T/S in the stage of consolidation degree of 60~90 %. However, it overestimated the final settlement with large errors if those relation curves were nonlinear.

  • PDF

Prediction Method of Settlement Based on Field Monitoring Data for Soft Ground Under Preloading Improvement with Ramp Loading (점증 재하를 고려한 선행재하 공법 적용 연약지반의 현장 계측을 통한 침하량 예측 방법의 개발)

  • Woo, Sang-Inn;Yune, Chan-Young;Baek, Seung-Kyung;Chung, Choong-Ki
    • Proceedings of the Korean Geotechical Society Conference
    • /
    • 2008.03a
    • /
    • pp.452-461
    • /
    • 2008
  • Previous settlement prediction method based on settlement monitoring such as hyperbolic, monden method were developed under instantaneous loading condition and have restriction to be applied to soft ground under ramp loading condition. In this study, settlement prediction method under ramp loading was developed. New settlement prediction method under ramp loading considers influence factors of consolidation settlement and increase accuracy of settlement prediction using field monitoring data after ramp loading. Large consolidation tests for ideally controlled one dimensional consolidation under ramp loading condition were performed and the settlement behavior was predicted based on the monitoring data. As a result, new prediction method is expected to have great applicability and practicability for the prediction of settlement behavior.

  • PDF

Reliability of Ultimate Settlement Prediction Methods (연약지반 장기 침하량 예측기법의 신뢰성 평가)

  • 우철웅;장병욱;송창섭
    • Magazine of the Korean Society of Agricultural Engineers
    • /
    • v.38 no.6
    • /
    • pp.35-41
    • /
    • 1996
  • The theory of consolidation has been achieved remarkable development in terms of theory such as finite consolidation theory, two dimensional Rendulic consolidation theory. Though those theories are well defined, the analysis is by no means straightforward, because associated properties are very difficult to determine in the laboratory, Therefore Terzaghi's one dimensional consolidation theory and Barron's cylindrical consolidation theory are still widely used in engineering practice. The theoretical shortcomings of those consolidation theories and uncertainties of associated properties make inevitably some discrepancy between theoretical and field settlements. Field settlement measurement by settlement plate is, therefore, widely used to overcome the discrepancy. Ultimate settlement is one of the most important factor of embankment construction on soft soils. Nowadays the ultimate settlement prediction methods using field settlement data are widely accepted as a helpful tool for field settlement analysis of embankment construction on soft soils. Among the various methods of ultimate settlement prediction, hyperbolic method and Asaoka's method are most commonly used because of their simplicity and ability to give a reasonable estimate of consolidation settlement. In this paper, the reliability of hyperbolic method and Asaoka's method has been examined using analytical methods. It is shown that both hyperbolic method and Asaoka's method are significantly affected by the direction of drainage.

  • PDF

Prediction of Final Settlement on Soft Ground (연약지반에서 최종침하량의 예측방법)

  • 임성훈;강예묵;이달원;김지훈
    • Proceedings of the Korean Society of Agricultural Engineers Conference
    • /
    • 1998.10a
    • /
    • pp.449-454
    • /
    • 1998
  • This study was performed of the research for accurate prediction of consolidation settlement at initial consolidation time. In order to analysis the program is developed which is able to analysis behavior of settlement caused by gradual load increment, and simulated consolidation using whole measured settlement data and that from beginning of embankment to end of it. The former result agrees with measured data and the latter it overestimated 13% larger than measured data. It was found the time which takes to be eliminated effect of gradual step load. This method is compared with the results from Asaoka, Hyperbolic and Tan's hyperbolic method respectively Asaoka and Tan's hyperbolic methods we in good agreement with this method. But classical hyperbolic method overestimated about 32%.

  • PDF

A Study on the Applicability of Prediction Methods for Long-term Ground Settlement in Soft Ground of Gyeongnam Area (경남지역 연약지반의 장기침하량 예측방법에 대한 적용성 연구)

  • Park, Eunhyung;An, Ducklae;Chae, Hwiyoung;Chun, Byungsik
    • Journal of the Korean GEO-environmental Society
    • /
    • v.13 no.10
    • /
    • pp.5-13
    • /
    • 2012
  • In this study, the degrees of consolidation were evaluated by analyzing the long-term settlement measured at the 3 work sites with soft ground in Gyeongnam Area. The Hyperbolic, Hoshino and Asaoka method were used, which were focused on prediction of long-term settlement of land on the basis of field measurement data. And the applicability of the settlement prediction method according to the measurement periods was investigated by analyzing the degree of consolidation at the target areas after dividing the terms into early and latter parts. According to the results obtained at the early stage of consolidation, the Hyperbolic method appeared to be in the highest applicability level, which was followed by Asaoka and Hoshino method in the order of level. In the case of latter stage of consolidation, Asaoka method appeared to be in the highest applicability level, which was followed by and the Hyperbolic, Hoshino method in the order of level.

A Study on the Practical Estimation Technique of a Long-term Settlement by the Observation Results in the Field (현장계획에 의한 연약지반의 장기 침하 예측지법에 관한 실증적 연구)

  • 서수봉;김수삼
    • Journal of Ocean Engineering and Technology
    • /
    • v.5 no.1
    • /
    • pp.35-44
    • /
    • 1991
  • This study was carried out for the purpose of pre-estimating long-term settlement under condition of actual field soil's property, in case of building up industrial sites on the marine deposit silty clay located at West Coast in Korea. This study analyzed Hyperbolic Method, Square Root Time Method and Exponential Function Method with utilization of measured survey values of settlement in In-Cheon Namdong Industrial Sites. In the future, for the continuos utilization, it seemed to be needed that further the survey values of fields should be accurartely measured for the analysis of more accurate pre-estimate about long-term settlement. Among the prediction methods of settlement Hyperbolic Method seemed to be the best fitting method for measured data. The settlement equations were derived from above three methods, for long-term settlements.

  • PDF

Prediction Method of Settlement Based on Field Monitoring Data for Soft Ground Under Preloading Improvement with Ramp Loading (점증 선행 하중으로 개량하는 연약지반의 계측기반 침하량 예측방법 개발)

  • Woo, Sang-Inn;Yune, Chan-Young;Baek, Seung-Kyung;Chung, Choong-Ki
    • Journal of the Korean Geotechnical Society
    • /
    • v.24 no.10
    • /
    • pp.83-91
    • /
    • 2008
  • Previous settlement prediction methods based on settlement monitoring were developed under instantaneous loading condition and have restriction to be applied to soft ground under ramp loading condition. In this study, settlement prediction method under ramp loading was developed. New settlement prediction method under ramp loading considered influence factors of consolidation settlement such as thickness of clayed layer, quantity of surcharge load and preconsolidation pressure, etc. Geometrical correction method based on hyperbolic method (1991) and correction method based on probability theory were applied to increase accuracy of settlement prediction using field monitoring data after ramp loading. Large consolidation tests for ideally controlled one dimensional consolidation under ramp loading condition were performed and the settlement behavior was predicted based on the monitoring data. New prediction method yielded good result of entire settlement behavior by using data during an early stage of ramp load. Additionally, new prediction method offered better settlement prediction which had final settlement prediction in close proximity and low RMSE(Root Mean Square Error) than previous method such as hyperbolic method did.