AbstractThis study investigated the disadvantages of existing observational methods using theoretical (radial consolidation solution) and actual (radial consolidation test with 24-h duration) settlement data. Sampling ranges taken from actual settlement data significantly affected the predicted values of ultimate consolidation settlement (Sult) and consolidation coefficient (ch), in an opposite result to those of the theoretical data. Thus, the modification of the Asaoka and exponential methods and a linear-rule method are proposed to resolve such a limitation and to apply short- and long-term measured settlement data. The applicability of the proposed methods was verified further by applying the methods to two field records and comparing the monitored and back-analyzed time–settlement curves. The three actual cases indicated that as the traces of the ultimate settlement versus sampling range inclined downward, the effects of sampling range and the proposed methods on the Sult and ch values increased. Correlations between the measured and back-analyzed time–settlement curves varied according to the characteristics of actual curves and the newly proposed methods. Therefore, applying the three proposed methods to a set of measured data and then selecting one of the predicted values is recommended for practical applications.

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