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In Japan, Liquefied Stabilized Soil (LSS) is widely used as one of the effective utilization of excavated soil. LSS is a cement-treated soil classified as a slurry pre-mixed soil, which is easy to occur brittle failure and the addition of fiber content might improve the brittle behavior. Recently, various investigations into the strength and deformation properties of LSS with fiber were conducted. However, there is no comprehensive investigation of LSS with fiber under various combination conditions performed. Therefore, this study conducted a series of Consolidated-Undrained triaxial compression tests by a constant axial strain rate, with small unloading and reloading during the monotonic loading to investigate the effect of various densities and curing times on the mechanical properties of LSS. Also, the comparison of LSS mixed with the pulverized newspaper in the amounts of 0 and 10 kg/cm 3 cured laboratory and in-situ is discussed. Based on the test results, the effect of slurry density on the strength of LSS was found to be greater than the effect of curing time. The pre-peak behavior of the q~εa curve became more non-linear under the effect of changing slurry density, in contrast to the effect of curing time. Moreover, the damage degree of LSS with shearing becomes small with curing time, while it seems to be rather independent of slurry density. With in-situ LSS, the influence of curing time on the initial Young's modulus, E0, is lower than the effect of slurry density.

In this paper, we propose an efficient design methodology for energy-efficient off-chip interconnect. This approach leverages an artificial neural network (ANN) as a surrogate model that significantly improves design efficiency in the frequency-domain. This model utilizes design specifications as the constraint functions to guarantee the satisfaction of design requirements. Additionally, a specified objective function to select low-loss and low-noise structure is employed to determine the optimal case from a large design space. The proposed design flow can find the optimum design that gives maximum eye height (EH) with the largest allowable transmitter supply voltage (VTX) reduction for minimum power consumption. The proposed approach is applied to the microstrip line and stripline structures with single-ended and differential signals for general applicability. For the microstrip line, the proposed methodology performs at a performance speed with 42.7 and 0.5 s per structure for the data generation and optimization process, respectively. In addition, the optimal microstrip line design achieves a 25%VTX reduction. In stripline structures, it takes 31.9 s for the data generation and 0.6 s for the optimization process per structure when the power efficiency reaches a maximum 30.7% peak to peak VTX decrease.

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