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Evi Aprianti
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International Association of Lowland Technology In Collaboration with Hasanuddin University and Saga University Address Faculty of Engineering, Center of Technology Building, 1st Floor Jalan Poros Malino km. 6, Bontomarannu, Gowa Indonesia Postal Code: 91711
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Lowland Technology International
Published by International Association of Lowland Technology
ISSN : 13449656     EISSN : 21878870     DOI : https://doi.org/10.0001/ialt_lti
Core Subject : Engineering,
Civil Engineering, Building, Construction & Architecture Engineering Transportation
The Lowland Technology International Journal presents activity and research developments in Geotechnical Engineering, Water Resources Engineering, Structural Engineering, Transportation Engineering, Urban Planning, Coastal Engineering, Disaster Prevention and Mitigation Engineering.
Arjuna Subject : Teknik (semua kategori) - Teknik Sipil dan Struktur
Articles 6 Documents
 1 
Search results for , issue "Vol 9 No 1, June (2007)" : 6 Documents clear
AN INNOVATIVE APPROACH TO EVALUATE THE BEHAVIOUR OF VERTICALLY LOADED PILE GROUPS BASED ON ELASTIC THEORY M. Cao; L. Z. Chen; S. L. Chen
Lowland Technology International Vol 9 No 1, June (2007)
Publisher : International Association of Lowland Technology

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Abstract

An efficient analytical approach is proposed to calculate the settlement of a pile group under vertical loads. The proposed approach is based on the superposition of the displacement of individual pile. In the superposition calculation, an interaction factor, which was determined using the technique by Muki and Sternberg, is employed to facilitate the analysis of pile groups subjected to static vertical loads. The proposed interaction factor can consider the strengthening effect of intervening piles. The solution of the proposed approach is compared with other existing solutions. Their difference in estimating the behaviour of pile groups is investigated. Finally, numerical examples on two pile groups are presented to discuss the influence of dimensionless pile and soil parameters on the behaviour of pile groups. The results show that the proposed approach gives a more reasonable analysis on pile groups.
A MORE FUNDAMENTAL APPROACH TO PREDICT PORE PRESSURE FOR SOFT CLAY A. S. Balasubramaniam; E. Y. N. Oh; C. J. Lee; S. Handali; T. H. Seah
Lowland Technology International Vol 9 No 1, June (2007)
Publisher : International Association of Lowland Technology

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Abstract

Skempton’s (1954) pore pressure coefficient A provides a pragmatic attempt at determining pore pressures during undrained shear, and to use these in settlement computations and stability analysis of embankments in soft clays. Also, the Critical state concept offers a means of acquiring the undrained stress path in normally consolidated clays through using a volumetric yield locus derived from a simple energy balance equation. However, to date there is no novel method by which the undrained stress paths of lightly over-consolidated and heavily overconsolidated clays can be predicted by using fundamental concepts. Based on the work of Handali (1986), Balasubramaniam et al. (1989) presented an alternative pore pressure coefficient that was more generalised than the Skempton’s coefficient. However, Pender (1978) proposed a set of parabolas to describe the undrained stress paths of overconsolidated clays, and Lee (1995) considered elliptic paths to be more in agreement with the experimental observations. In this paper, observed and predicted undrained stress paths both under compression and extension, and also from isotropic and K0 pre-shear consolidation states will be presented. Such expressions can then be readily used in computer softwares for stability analysis and settlement computations.
GEOTECHNICAL CHARACTERIZATION OF SOFT CLAY ALONG A HIGHWAY IN THE RED RIVER DELTA P. H. Giao; D. H. Hien
Lowland Technology International Vol 9 No 1, June (2007)
Publisher : International Association of Lowland Technology

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Abstract

The Red River Delta (RRD) consists mostly of Pleistocene to Holocene deposits, including soft clays. Besides environmental hazards such as flood, storm, coastal erosion, saltwater instruction and contamination of ground water, the wide distribution of soft clay has caused obvious geotechnical difficulties for infrastructure development projects. It is observed that the economic growth of this booming region of Vietnam goes at a faster rate than that of the infrastructure development and the latter has not yet been supported by a modern geotechnical investigation practice. Data analysis and soil characterization become even more difficult for a long linear infrastructure like a road or highway, whose route runs over different soil types. This study deals with a comprehensive geotechnical characterization of soft soils underlying the national highway No. 18 (NH18) that has often had problems of differential settlements or other construction damages. Besides the common approach of lumping testing data in the averaged graphs and tables, visualizations were made to assist in characterization of the soil layers. A number of empirical correlative relationships were deduced for various geotechnical parameters, especially the undrained shear strength and the cone tip resistance.
UNDRAINED SHEAR STRENGTH OF ARIAKE CLAY BY ELECTRONIC CONE PENETRATION TESTING M. A. Rashwan; T. Koumoto
Lowland Technology International Vol 9 No 1, June (2007)
Publisher : International Association of Lowland Technology

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Abstract

Evaluation of undrained shear strength ( ) of clay using laboratory tests usually faces serious problems due to large scatter caused by sample disturbance and different testing procedures. In this paper, the filtering equation which is expressed as function of the deformation modulus ( ) and excess pore water pressure ( ) is proposed as a simple equation and applied for 11 clay sites to drop the values those its soil are considered to be rather disturbed. The filtered selected values were compared to find fairly good agreement with the predicted by the electronic cone penetration testing data.
A RECREATIONAL VALUATION OF PUBLIC PREFERENCE ON PARK USERS’ WILLINGNESS TO PAY P. Iamtrakul; K. Teknomo; K. Hokao
Lowland Technology International Vol 9 No 1, June (2007)
Publisher : International Association of Lowland Technology

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Abstract

Public parks provide a numerous benefits and opportunities for community and however, to maintenance of public parks need large amount of local governmental budget. This study investigates park users’ preference on willingness to pay to quantify recreational benefit of public parks. A new assessment method was proposed to verify the consistency of data collection by utilizing the relatively simply technique, we called string method. Based on this approach, a case study of three public parks in Saga city, Japan was established to qualify users’ view that could enable us to evaluate their participation on the improvement of accessibility and attractiveness of park according to community needs. The result indicated that different patterns of recreational travel and activity on park visitation induce in different compensation on public activities’ program. This useful information could be utilized to guide local planning agency to locate suitable policy for public park service improvement.
PREDICTION OF HYDRAULIC CONDUCTIVITY OF CLAY LINERS USING ARTIFICIAL NEURAL NETWORK S. K. Das; P. K. Basudhar
Lowland Technology International Vol 9 No 1, June (2007)
Publisher : International Association of Lowland Technology

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Abstract

This paper pertains to prediction of hydraulic conductivity of soil used as clay liners using artificial neural networks based on soil classification test results like Atterberg’s limit, grain size and compaction characteristics. Feed forward back propagation neural network has been used and trained with different combination of input parameters of laboratory test results available in literature. Statistical performances criteria like root mean square error, correlation coefficient, coefficient of determination and overfitting ratio are used to compare different neural network models, the available statistical model and the results obtained using group method of data handling (GMDH) neural network. The neural network models are found to be more efficient and reliable compared to statistical model. Identification of important soil parameters affecting the hydraulic conductivity of soils is discussed. A model equation is presented with weights of the trained neural network as model parameter.

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