• Title/Summary/Keyword: deep cement method

Search Result 75, Processing Time 0.027 seconds

EDNN based prediction of strength and durability properties of HPC using fibres & copper slag

  • Gupta, Mohit;Raj, Ritu;Sahu, Anil Kumar
    • Advances in concrete construction
    • /
    • v.14 no.3
    • /
    • pp.185-194
    • /
    • 2022
  • For producing cement and concrete, the construction field has been encouraged by the usage of industrial soil waste (or) secondary materials since it decreases the utilization of natural resources. Simultaneously, for ensuring the quality, the analyses of the strength along with durability properties of that sort of cement and concrete are required. The prediction of strength along with other properties of High-Performance Concrete (HPC) by optimization and machine learning algorithms are focused by already available research methods. However, an error and accuracy issue are possessed. Therefore, the Enhanced Deep Neural Network (EDNN) based strength along with durability prediction of HPC was utilized by this research method. Initially, the data is gathered in the proposed work. Then, the data's pre-processing is done by the elimination of missing data along with normalization. Next, from the pre-processed data, the features are extracted. Hence, the data input to the EDNN algorithm which predicts the strength along with durability properties of the specific mixing input designs. Using the Switched Multi-Objective Jellyfish Optimization (SMOJO) algorithm, the weight value is initialized in the EDNN. The Gaussian radial function is utilized as the activation function. The proposed EDNN's performance is examined with the already available algorithms in the experimental analysis. Based on the RMSE, MAE, MAPE, and R2 metrics, the performance of the proposed EDNN is compared to the existing DNN, CNN, ANN, and SVM methods. Further, according to the metrices, the proposed EDNN performs better. Moreover, the effectiveness of proposed EDNN is examined based on the accuracy, precision, recall, and F-Measure metrics. With the already-existing algorithms i.e., JO, GWO, PSO, and GA, the fitness for the proposed SMOJO algorithm is also examined. The proposed SMOJO algorithm achieves a higher fitness value than the already available algorithm.

The Ground Reinforcement on Daylight Collapsed Block in Driving Work at the National Road No. 3 Line (국도 3호선 터널건설 공사 중 붕락구간에 대한 지반보강)

  • 천병식;정덕교;이태우;정진교
    • Proceedings of the Korean Geotechical Society Conference
    • /
    • 1999.02a
    • /
    • pp.14-22
    • /
    • 1999
  • Daylight collapse have been occurred by about 6.$^{0}$ m deep at ground surface which connected to the ground surface and excessive overbreak have been occurred by the space and height of 3.$^1$~6.$^2$m at crown head part of the tunnel during tunnelling of lower-half part after completing upper-half part on tunnelling of a phyllite mountain by NATM method at the construction work of two way-double track national road. This study is a successful illustration case of earth improvement by confirming structural safety of the tunnel in a whole through solving the cause of the tunnel collapse and the work have completed successfully through applying such earth strengthening method as cement mortarㆍcement milk injection, S.G.R, steel pipe reinforced multi-step grouting etc.

  • PDF

A Comparative Study of Structural Analysis on DCM Improved by Pile and Block Type (말뚝식과 블록식이 혼합된 시멘트혼합처리공법(DCM)의 구조체 해석 비교 연구)

  • Shin, Hyun Young;Kim, Byung Il;Kim, Kyoung O;Han, Sang Jae
    • Journal of the Korean Geotechnical Society
    • /
    • v.30 no.4
    • /
    • pp.5-19
    • /
    • 2014
  • In this study, the structural analysis is performed on the method of shallow block and deep cement mixing pile, and then their characteristics and associated behaviors were analyzed. In the case of continuous beam analysis, the predicted settlement was very small, and shear force and bending stress are somewhat overestimated. The frame method is similar to numerical analysis in the internal force shallow block and long pile, but because the settlement of pile is underestimated, the additional calculation using the reaction of the long pile is necessary. For soil arching method and piled raft foundation method, the excessive axial force of long pile was predicted because the load sharing of pile is very large compared to the other methods. In the behavior of the shallow block and deep pile method, the settlement of shallow block and contact pressure are much in the center than the edge. In the estimating method considering the interaction between improved material and ground, the load sharing of the soil-cement pile ranges from 20% to 45%, and the stress ratio is 2.0~5.0 less than piled DCM. The maximum member forces at the boundary conditions of pile head are similar, but in fixed head the axial force and vertical displacement are different in accordance with pile arrangement.

The Application and Geo-Enviromental Effect on TAS Method (TAS공법의 적용성과 지반환경 영향)

  • Chun, Byung Sik;Yeoh, Yoo Hyeon;Baik, Jung-Shik;Choi, Choon-Sik
    • Journal of the Korean GEO-environmental Society
    • /
    • v.3 no.3
    • /
    • pp.27-36
    • /
    • 2002
  • Generally, it is known that urethane injection is excellent in long-term durability and environment friendly for ground improvement. However, urethane grouting has short rise time thus the penetration distance from the injection point is so short. Therefore, urethane injection cannot be used for the site where requires ground improvement in deep location from the injection point. Other injection materials such as cement cannot be alternatives when rapid hardening is required. From this study, we improve disadvantage urethane injection by developing TAS method. From the field tests, it is ascertained that TAS increases injection distance over 10m, which is further than that of original urethane grouting. In addition, TAS has relatively short Rise-time compared to cement grouting thus instantaneous improvement can be mobilized right after the injection. Short Rise-time and long penetration distance provide excellent applicability for tunnel construction.

  • PDF

Numerical calculation and test of the composite materials under dynamic loading

  • Liu, Fei;Li, Lianghui
    • Steel and Composite Structures
    • /
    • v.38 no.1
    • /
    • pp.79-86
    • /
    • 2021
  • Due to the complex geological conditions, a large number of high quality coal seams was buried in the western of China which cannot be mining in open-pit methods. The dynamic properties of that coal cannot be studied easily in real site for the complex working condition. The compound coal blocks made on the basis of the real situation were studied in the laboratory. The physical and mechanical properties of the compound coal blocks and the raw coal were contrasted by using the UCS tests. The results show that the compound coal blocks made by mixing coal powder, cement and water in proportion of 2.5:2:1 are the closest to that of standard raw coal. Then the propagation of strain waves and crushing effects on the coal were studied in the compound coal blocks by using the super dynamic strain test system and the numerical calculated method of ANSYS/LS-DYNA. The results show that the diameter of the crushing zone in the compound coal blocks was similar to that in the numerical results. The fractures distribution in laboratory tests also has a similar trend to the calculation results. The measured strain waves at the distance of 50 cm, 100 cm, and 150 cm from the center of the charge are mainly concerned at -1.0×104 με and have a similar trend as that in the numerical simulation.

Characteristics of Bearing Capacity of Soft Ground Reinforced by Vertical Mat (연직 매트로 보강된 연약지반의 지지력 특성)

  • Shin, Eun-Chul;Lee, Gil-Ho
    • Journal of the Korean GEO-environmental Society
    • /
    • v.13 no.6
    • /
    • pp.83-90
    • /
    • 2012
  • Generally, the effect of the cement deep mixing method on the improvement of clay ground is far greater than the effect of physical improvement. Although it leads to great improvement strength in the initial stage, there are not many constructional precedents in Korea and it is hard to manage quality according to the cement-clay mixing method. In order to figure out the strength characteristics according to the mixing ratio of cement, sand, and clay and the improvement characteristics of weak ground according to the forms of the specimens to be improved, marine clay was used in this study to conduct the uniaxial compression test and soil bin model test. The test piece specimens for the uniaxial compression test were mixed with sand in a fixed ratio with the criterion of the water cement ratio. The cement was mixed with clay in the ratios of 10%, 20%, 30%, and 40% to the clay weight. The moisture content of the soil ground was made in the ratios of 40%, 60%, and 80%. The test piece specimens went through curing by moistening for 7, 14, and 28 days and underwent the uniaxial compression test according to the curing period. For the bearing test, the soil bin models were made and the ground improved in the Mat type was formed. After that, the bearing strength was compared in this study according to the improvement ratio and analyzed the intervening effect between the walls of the improved specimens.

Deep learning based crack detection from tunnel cement concrete lining (딥러닝 기반 터널 콘크리트 라이닝 균열 탐지)

  • Bae, Soohyeon;Ham, Sangwoo;Lee, Impyeong;Lee, Gyu-Phil;Kim, Donggyou
    • Journal of Korean Tunnelling and Underground Space Association
    • /
    • v.24 no.6
    • /
    • pp.583-598
    • /
    • 2022
  • As human-based tunnel inspections are affected by the subjective judgment of the inspector, making continuous history management difficult. There is a lot of deep learning-based automatic crack detection research recently. However, the large public crack datasets used in most studies differ significantly from those in tunnels. Also, additional work is required to build sophisticated crack labels in current tunnel evaluation. Therefore, we present a method to improve crack detection performance by inputting existing datasets into a deep learning model. We evaluate and compare the performance of deep learning models trained by combining existing tunnel datasets, high-quality tunnel datasets, and public crack datasets. As a result, DeepLabv3+ with Cross-Entropy loss function performed best when trained on both public datasets, patchwise classification, and oversampled tunnel datasets. In the future, we expect to contribute to establishing a plan to efficiently utilize the tunnel image acquisition system's data for deep learning model learning.

Estimation of Concrete Porosity Using Image Segmentation Method (영상 분할기법을 활용한 콘크리트의 공극률 평가 )

  • Hyun-Joon Jeong;Hoseong Jeong;Jae Hyun Kim;Kang-Su Kim
    • Journal of the Korea institute for structural maintenance and inspection
    • /
    • v.27 no.1
    • /
    • pp.30-36
    • /
    • 2023
  • In this study, an image segmentation model that can evaluate surface porosity based on concrete surface images was derived. Three types of concrete specimens with different water-cement ratios (w/c = 54, 35, and 30%) were prepared, and 2,729 surface images were obtained using an optical microscope. Benchmarking tests, parameter optimization, and final model derivation were performed using the surface images, and an image segmentation model with 97% verification accuracy was obtained. The model was verified by comparing the porosity obtained from the model and X-Ray Microscope (XRM). The model provided similar porosity to that of XRM for the specimens with a high water-cement ratio, but tended to give lower porosity for specimens with a low water-cement ratio.

Field Application Study for Soil Improvement and Existing Foundation Protection Work by Hi-FA(High performance and Multi functional Agent) (Hi-FA(유동성 및 점성 개질제)를 이용한 지반보강 및 기존 교량기초 보강공법에 대한 실용화 연구)

  • Kim, Myung-Hak;Park, Myoung-Deuk;Yoon, Tae-Gook;Lee, Yong-Jun;Park, Min-Cheol
    • Proceedings of the Korean Geotechical Society Conference
    • /
    • 2010.09a
    • /
    • pp.664-675
    • /
    • 2010
  • Recently environment-friendly construction method is major trend in both domestic and world constrction fields. In this paper High Functional Performance Agent(Hi-FA) which has various improved engineering characteristics different with conventional Portland cement grouting, such as high viscosity, liquidity, void filling ability, early hardening, and separation resistance, was analyzed by field and laboratory test. Also soil improvement and existing deep foundation protection works were performed and analyzed using Hi-FA.

  • PDF

Centrifuge Modeling and Numerical Analysis on Breakwater Construction (방파제 축조공사의 Centrifuge 모델링과 수치해석)

  • Yoo, Nam-Jae;Kim, Dong-Gun;Yoon, Dae-Hee
    • Journal of Industrial Technology
    • /
    • v.31 no.B
    • /
    • pp.81-90
    • /
    • 2011
  • Centrifuge modeling and numerical analysis on works of breakwater construction were performed to investigate the behavior of caisson type of breakwater and foundation treated with the method of DCM (Deep Cement Mixing) under the condition of wave action in field. In centrifuge modeling, construction sequence of breakwater caisson such as preparation of ground, treatment of DCM, installation of rubble mound, placement of breakwater caisson and lateral loading on the breakwater due to wave action were reconstructed. Lateral movement of model breakwater and ground reaction in the vertical direction were monitored during test. Stress concentration ratio between the untreated ground and the treated ground with DCM was evaluated from measurement of vertical stresses on each ground. Numerical analysis with the software of PLAXIS was carried to compare with Results of centrifuge model test. It was found that stability of model breakwater was maintained during stage of construction and the compared results about stress concentration ratio were in relatively good agreements.

  • PDF