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CGPR Report: Guidelines for applying machine learning in geotechnical engineering practice
CGPR Report: Guidelines for applying machine learning in geotechnical engineering practice
Contributors:
Dr. Joseph P. Vantassel, Sanish Bhochhibhoya, Ujjwal Gupta
Description:
A comprehensive guide and resource designed for geotechnical engineering practitioners aiming to enhance the accuracy, efficiency, and cost-effectiveness of their projects through the application of machine learning (ML) techniques.
The 100+ pages report consists of 10 chapters, covering topics such as an introduction to ML, data management, data preparation, the general steps involved in machine learning, and a detailed exploration of both supervised and unsupervised learning methods.
Link:
A Virginia Tech Center for Geotechnical Practice and Research (CGPR) publication (https://cgpr.cee.vt.edu/cgpr-publications/)
Fig. Cover Page of CGPR Report #105 (Source: CGPR - Virginia Tech)
Fig. Liquefaction Map - Result from the project (Source: Geomatics, Natural Hazards, and Risk)
Liquefaction Assessment in Kathmandu Valley
Liquefaction Assessment in Kathmandu Valley
Contributors:
Sajan K.C., Sanish Bhochhibhoya, Purushottam Adhikari, Prasanna Adhikari, Dipendra Gautam
Description:
Numerous historical earthquakes showed the damage caused due to seismic-induced liquefactions.
This study assessed liquefaction analysis result of Kathmandu Valley using probabilistic model considering various earthquake magnitude and return periods: 73, 475, 2475, and 5000 years.
Status: Published
Journal: Geomatics, Natural Hazards and Risk (www.tandfonline.com/doi/full/10.1080/19475705.2020.1718220)
Integrated Risk Assessment in Nepal
Integrated Risk Assessment in Nepal
Contributors:
Sanish Bhochhibhoya, Roisha Maharjan
Description:
Integrated Risk = Physical Risk aggravated by social components
Physical risk is quantified by measuring average annual loss, calculated using OpenQuake.
OpenQuake considers source model, GMPE, exposure model (building classification and quantity), and vulnerability curve.
Social Vulnerability Index (SoVI) is taken as social component.
SoVI is calculated using Principal Component Analysis (PCA), taking account of 55 variables which includes demographic, socio-economic, health, education and housing variables.
Results and conclusion are presented using QGIS.
Status: Published
Journal: Natural Hazard Earth System Science
(https://nhess.copernicus.org/articles/22/3211/2022/nhess-22-3211-2022.html)
Suitability Assessment of Stone Column in Kathmandu Valley
Suitability Assessment of Stone Column in Kathmandu Valley
Contributors:
Dr. Madhu Sudan K.C, Sanish Bhochhibhoya, Roisha Maharjan, Rishav Adhikari, Sagar Gurung, Purushottam Adhikari
Description:
Kathmandu Valley consists of a dynamic subsoil profile, and due to haphazard urbanization within the valley, an effective method to mitigate any forthcoming geotechnical problems is of utmost importance.
The objective of this project is to calculate the increase in bearing capacity or decrease in settlement in various location in Kathmandu Valley after using stone columns using Priebe's method and IS method.
Status: Published
Journal: Geological and Geotechnical Engineering
(https://link.springer.com/content/pdf/10.1007/s10706-022-02262-y.pdf)
Earthquake Early Warning System: Team Hazard
Earthquake Early Warning System: Team Hazard
Earthquake Resistant Design of Multi-Storey Commercial Building
Earthquake Resistant Design of Multi-Storey Commercial Building
Contributors:
Prasanna Adhikari, Rishav Adhikari, Purushottam Adhikari, Sagar Gurung, Sanish Bhochhibhoya, Semina Gautam
Project Supervisor:
Dr. Kamal Bahadur Thapa
Project Examiners:
Dr. Jagat Kumar Shrestha
Er. Sanjay Kumar Shah
Salient Features:
Final year project to fulfill the requirement of the curriculum
14 storied buildings (2 Basement + 11 Floors + 1 Roof)
Cinema Hall (Inclined) Slab, Shear Walls, Basement Walls
Response Spectrum Analysis
Status:
Completed - August 2019
Assessment of Effectiveness of Resizing Columns in Building Eccentricity and Torsional Irregularity in Typical Multi-Storied Buildings
Assessment of Effectiveness of Resizing Columns in Building Eccentricity and Torsional Irregularity in Typical Multi-Storied Buildings
Contributors:
Roisha Maharjan, Sanish Bhochhibhoya, Rupesh Shrestha, Sagar Gurung
Description:
Structures must be within some torsional constraint as defined in followed building code. For example, the Indian Standard Code requires a ratio of average to maximum displacement within 1.5.
Structure engineers are bound by architectural requirements and building purposes. Hence, they must pass all the building code requirements using the provided plans and the position of columns. Hence, the most feasible methods to do so are i) providing shear walls, and ii) Changing the size or shape of columns.
This project aims to assess the method of changing the size of columns to reduce the torsion in an eccentric building within the required limit.
Status: Published
Journal: Asian Journal of Civil Engineering
(https://link.springer.com/content/pdf/10.1007/s42107-022-00468-2.pdf)
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