Stabilization of colluvial soil using rice husk ash and micro silica powder

Verma, Sachin; Khanduri, Vidya Sagar; Mittal, Ankit

doi:10.1016/j.matpr.2020.04.019

Cited by 9 publications

(4 citation statements)

References 16 publications

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“…When a certain engineering property is absent, there is a need for a certain soil property improvement technique, and that technique is met by the term "soil stabilization. This stabilisation is carried out by adding stabilisers [5].…”

Section: Introductionmentioning

confidence: 99%

“…In situ stabilisation and ex-situ stabilisation are two common methods for implementing the method [7]. The different techniques used in soil stabilisation are mechanical stabilization, chemical stabilization, and the use of geo-synthetics [5]. This technique enhances properties such as durability, stiffness (or strength), and the ability to treat soil quickly [8].…”

Section: Introductionmentioning

confidence: 99%

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Experimental investigation on soil stabilization technique by adding nano-aluminium oxide additive in clay soil

Abisha

Jose

2023

Matéria (Rio J.)

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In this research article, soil stabilisation is carried out by the latest method: nanotechnology. The stabilizer nano-aluminum oxide is used as a stabilising agent in concentrations of 0.2%, 0.4%, 0.6%, 0.8%, 1%, and 1.2%. Because it is 99% pure and nanoscale, it has a large surface area for analysing the properties and strength of soil tests such as Atterberg's limit, pycnometer, proctor compaction test, California bearing ratio test, and unconfined compressive strength. These tests are done for parent soil and soil with different percentages of nanomaterials. The nanostabilizer addition increases the unconfined compressive strength, California bearing ratio, liquid limit, and optimum moisture content value. One percentage of nano-aluminium oxide is considered an optimum dosage. Beyond the optimum amount, there is a change in soil property. The CBR value, liquid limit, and OMC of soil all go down, so it is recommended to use 1% nano-aluminum oxide to improve sub-grade clay soil.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental investigation on soil stabilization technique by adding nano-aluminium oxide additive in clay soil

Abisha

Jose

2023

Matéria (Rio J.)

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“…Due to increase in event of landslide and effect to social and economic condition several researchers inspired to conduct case studies and assessing landslide event is these region (Bhardwaj et al, 2019 (Rautelal, 2000). Some massive landslides in district of Mandi was observed on past like Kotropi landslide which cause death of 46 people (S. P. Pradhan et al, 2019;Verma et al, 2020). This massive landslide event attracted some researcher for conducting case study and providing remedial measure (P. Verma et al, 2020) and work to improve risk communication and early warning system (Fennessy & Mikolajczak, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Some massive landslides in district of Mandi was observed on past like Kotropi landslide which cause death of 46 people (S. P. Pradhan et al, 2019;Verma et al, 2020). This massive landslide event attracted some researcher for conducting case study and providing remedial measure (P. Verma et al, 2020) and work to improve risk communication and early warning system (Fennessy & Mikolajczak, 2016). Although all these efforts are made but future possible landslide event still possess threat to new and existing settlements in this region.…”

Section: Introductionmentioning

confidence: 99%

GIS-Based Study To Develop Landslide Susceptibility Zonation Map Of District Mandi, Himachal Pradesh

Verma

Khanduri

2021

Preprint

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Rising Incidents of landslide at district Mandi is issue of concern in Himachal Pradesh. Every year many people losses their life and property in these landslide event. This study is conducted with aim to preparation of landslide susceptibility zonation map of district Mandi using method of frequency ratio. Causative factor of landslide involved in preparation of Landslide susceptibility zonation map is Lithology, Slope, Drainage density, Aspect and Land use land cover. Slope, Drainage density, Aspect map are extracted through digital elevation model. Source of Digital elevation model used here is based on SRTM data whereas lithology map is based on data of geological survey of India. Land use land cover map is extracted by images of Landsat 8 satellite. Total of 52 existing landslides are used to model final map. LSZ map show 40.42% area is falling under medium susceptibility class, 34.5 % under low and 25.07% is under high susceptibility class which cover tehsils Mandi, Chachyot, Thunag and some part of Padhar, Aut and Bali Chowki. Further to validate these result areas under curve (AUC) method is use which give prediction rate of 76.06%.

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