https://ph01.tci-thaijo.org/index.php/SEAGS_AGSSEA_Journal/issue/feed Geotechnical Engineering Journal of the SEAGS & AGSSEA 2025-04-11T14:44:37+07:00 Dr. Kuo Chieh Chao s-a-journal@ait.asia Open Journal Systems <p>Please visit our Membership Subscription page to learn more about membership advantages, membership groups and discounts and access unlimited access to the full text of all articles from back issues (digital archive), beginning with Volume 1 (1972-2014) at SEAGS-AGSSEA website:<strong> <a href="http://seags.ait.asia/">http://seags.ait.asia/</a></strong></p> <p><strong><span style="font-size: 0.875rem;"> </span></strong></p> https://ph01.tci-thaijo.org/index.php/SEAGS_AGSSEA_Journal/article/view/255448 Strength and Durability of the Pandrang Quartzite and the Chisapani Quartzite Units of the, Central Nepal Lesser Himalaya 2024-12-17T20:03:41+07:00 DINESH RAJ SHARMA dineshrajsharma@hotmail.com Naresh Kazi Tamrakar naresh.tamrakar@cdgl.tu.edu.np <p><strong>A</strong><strong>BSTRACT:</strong> This study focuses on the characterization and evaluation of quartzites sourced from the Pandrang Quartzite and the Chisapani Quartzite belonging to the Bhimphedi Group of the Lesser Himalayan sequence for their potential use as railway aggregates. The objective of the research is to assess the physical, mechanical, and durability properties of these crushed rock aggregates, considering their suitability for railway applications. The quartzites, classified as medium-grained, monomictic quartzites and belonging to the Precambrian Age, exhibit white to yellowish or brownish white colour, and rough surface texture. The investigation gives away consistent and similar physical properties in both quartzite samples, including narrow ranges in density, specific gravity, and water absorption. While the quartzites demonstrate varying levels of strength, with a majority falling into the strong to very strong category, some exhibit medium strong and extremely strong characteristics. Additionally, the aggregates show a range of values for the Aggregate Impact Value (AIV) and Aggregate Crushing Value (ACV), indicating variations in toughness.</p> <p>The quartzites show the high resistance to slaking, minimal weight changes during slake durability testing, and superior resistance to freeze and thaw weathering. Moderate hardness and abrasion resistance suggest their suitability as durable aggregates for ballast. Despite comparable ranges in density and aggregate crushing value, the Pandrang Quartzite generally exhibits higher strength and durability than the Chisapani Quartzite, suggesting superior quality. Except for crushing resistance, the quartzites meet the requirements specified by (American Railway Engineering and Maintenance-of-Way Association (AREMA) and British Railway Standards, making them suitable for railway applications. The study provides valuable insights into the physical, mechanical and durability characteristics of quartzite aggregates, guiding their potential utilization in railway infrastructure with an emphasis on durability and strength.</p> 2025-07-17T00:00:00+07:00 Copyright (c) 2025 Geotechnical Engineering Journal of the SEAGS & AGSSEA https://ph01.tci-thaijo.org/index.php/SEAGS_AGSSEA_Journal/article/view/256073 The Uplift Capacity Prediction for Regular and Enlarged Piles in Sandy Soils Using Artificial Neural Networks 2024-12-18T12:04:03+07:00 Shaymaa Kadhim shaymaa.t.kadhim@uotechnology.edu.iq Mustafa Khattab Mustafa.m.khattab@uotechnology.edu.iq Ahmed Abdulrasool Ahmed.S.Abdulrasool@uotechnology.edu.iq Humam Al-Ghabawi Humam.h.Ghabawi@uotechnology.edu.iq <p>The uplift capacity of piles is considered as a crucial aspect in practice for a geotechnical engineer. Nowadays, artificial machine learning technique has emerged as a powerful tool in engineering for prediction and estimation with reasonable accuracy. This paper investigates the uplift capacity of two types of single piles; regular and enlarged piles installed in sand using artificial neural network (ANN). Different activation functions have been used and the ANN results were compared with other algorithms. The results showed that one unified machine learning model has proven its efficiency to give reasonable and accurate estimates of the uplift capacity of regular and enlarged piles. The ANN algorithm had the best results compared with other algorithms (Random forests, XGBoost and Adaboost) with coefficient of determination R<sup>2</sup> equals to 0.970151 and 0.96924 for training and testing data respectively while other algorithms showed a sign of over-fitting. Finally, the ANN model was compared to well-known theoretical models and the ANN had better results.</p> 2025-07-17T00:00:00+07:00 Copyright (c) 2025 Geotechnical Engineering Journal of the SEAGS & AGSSEA https://ph01.tci-thaijo.org/index.php/SEAGS_AGSSEA_Journal/article/view/254434 Village Protection during Flooding by Wrap Faced Embankment at Netrokona, Bangladesh 2024-08-10T21:40:10+07:00 Ripon Hore riponhore1984@gmail.com Mosharof Al Alim alimsakib@gmail.com Md. Saiful Islam ims.hilip@gmail.com Abdul Siddik Hossain chinmoy1940@gmail.com Md. Mozammel Haque pd.hilip@lged.gov.bd Mehedi Ahmed Ansary ansary@ce.buet.ac.bd Shoma Hore riponhore1984@gmail.com <p>In this paper, a case study is presented for a wrap face embankment. This type of embankment is found to be more efficient than a traditional embankment in case of stability, dynamic wave action under flooding. In the deltaic region, where soft soil exists below an embankment, it may suffer relatively more damage. Under this situation, a wrap-faced embankment may be a relatively better solution. The example presented here is based on a real-life wrap-faced embankment on a soft soil area located at Nowagoan Alga Hati village under Mohanganj upazila, Netrokona, Bangladesh. This study also discusses the application of soil improvement for soft soils via jet grouting in some parts of the site. Jet grouting has improved soil stability and soil settling after being applied to the soil. Soil strength before and after jet grouting were 0.005 MPa and 0.94 MPa respectively. The soil gains 186.8 times the strength of soil before applying jet grouting which was very impressive. Jet grouting also improved the settlement of soil to a great extent. The areas without soil improvement by jet grouting showed more settlement than the areas with jet grouting. After flooding, settlement of wrap face embankment without jet grouting area was found to be 112mm. On the other hand, settlement of wrap face (after flooding) in the jet grouting area was only 19mm. This research output is significant for design and implement of the future flood resilient embankment in the Deltaic region.</p> <p> </p> 2025-04-11T00:00:00+07:00 Copyright (c) 2024 Geotechnical Engineering Journal of the SEAGS & AGSSEA