Multiscale and Multidisciplinary Modeling, Experiments and Design

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Optimizing seasonal discharge predictions: a hybridized approach with AI and non-linear models
Multiscale and Multidisciplinary Modeling, Experiments and Design - - 2024
Shailza Sharma, Mahesh Patel
Discharge prediction plays a crucial role in hydrology and to reduce the flash flood hazards during monsoon season, it is necessary to build an accurate flow prediction system. Therefore, to forecast the discharge seasonally, data is divided into four seasons as Early Winter Season (EWS), Peak Winter Season (PWS), Monsoon Season (MS) and Summer Spring Season (SSS). For this purpose, a discharge da...... hiện toàn bộ
Employing adaptive neural fuzzy inference system model via meta-heuristic algorithms for predicting undrained shear strength
Multiscale and Multidisciplinary Modeling, Experiments and Design - - Trang 1-15 - 2023
Xiaoling Ding
The undrained shear strength (USS) of soil is known as one of the most important features in structural engineering tasks, such as foundation design, rock fill and earth dam design, highway and railway design, and stability of slopes. Some empirical and theoretical procedures have been developed for estimating the USS based on soil features utilizing field tests in recent years. Almost all of thes...... hiện toàn bộ
Hydraulic fracturing design and 3D modeling: a case study from Cambay Shale and Eagleford Shale
Multiscale and Multidisciplinary Modeling, Experiments and Design - Tập 2 - Trang 1-13 - 2018
Vaishali Sharma, Anirbid Sircar, Anand Gupta
Economically producing oil and gas from low permeable unconventional shale gas reservoirs has been made possible by the implementation of hydraulic fracturing with horizontal drilling and microseismicity. This new technique can drastically transformed the energy future of India. Hydraulic fracturing improves well productivity and enhances the production from ultra-low permeable formations. An opti...... hiện toàn bộ
Using Monte Carlo simulation to estimate geothermal resource in Dholera geothermal field, Gujarat, India
Multiscale and Multidisciplinary Modeling, Experiments and Design - Tập 1 - Trang 83-95 - 2018
Manan Shah, Dwijen Vaidya, Anirbid Sircar
After effective investigation on various exploration activities, from a geothermal prospect, stakeholders are constantly anxious to know of its potential. Geothermal resource assessment is estimation of the amount of thermal energy that is stored beneath the earth’s surface and can be extracted from a geothermal reservoir and used economically for a time frame, normally a very long while. A study ...... hiện toàn bộ
Optimizing perpetual pavement design in India: stabilized soil and polymer-modified bitumen approach for cost and carbon efficiency
Multiscale and Multidisciplinary Modeling, Experiments and Design - - Trang 1-12 - 2023
Saurabh Kulkarni, Mahadeo Ranadive
The present study aims to evaluate the possibility of perpetual pavement design with stabilized black cotton soil and polymer-modified bitumen for the major highways in India. Ground granulated blast slag (GGBS) was proposed as a potential material for use in pavements on weak subgrades, with proportions of 10%, 20%, 30%, and 40% added to the black cotton soil. Modified proctor compaction and Cali...... hiện toàn bộ
Artificial intelligence-based approach for improving the aeration efficiency of a perforated plate aeration system
Multiscale and Multidisciplinary Modeling, Experiments and Design - - Trang 1-14 - 2023
Subha M. Roy, C. M. Pareek, Taeho Kim, Bimal Chandra Mal
Aeration of a water body is artificially performed to create a close interface between the air and the water, allowing for the enhancement of dissolved oxygen (DO) content. High levels of DO are essential for maintaining good water quality and supporting aquatic life. The perforated plate aerator (PPA) can be considered as an important device to increase DO concentration in a water body. Its perfo...... hiện toàn bộ
Estimation of the compressive strength of concretes containing ground granulated blast furnace slag using a novel regularized deep learning approach
Multiscale and Multidisciplinary Modeling, Experiments and Design - Tập 6 - Trang 415-430 - 2023
Hoang Nhat-Duc
The use of ground granulated blast furnace slag (GGBFS) helps reduce carbon dioxide generated during the manufacturing of ordinary Portland cement. The compressive strength (CS) is a crucial property of concrete mixtures, which is mandatorily required in the design and construction of concrete structures. This property of the GGBFS-blended concrete must be estimated accurately and reliably. This s...... hiện toàn bộ
Correction to: The implementation of a least square support vector regression model utilizing meta-heuristic algorithms for predicting undrained shear strength
Multiscale and Multidisciplinary Modeling, Experiments and Design - - 2024
Shao Qiang, Ma Chenyue, Kong Dezhi
Parametric optimization of WEDM on hybrid titanium matrix composite using response surface methodology
Multiscale and Multidisciplinary Modeling, Experiments and Design - - 2021
Soutrik Bose, Titas Nandi
Durability studies and microstructure analysis on roller compacted concrete with sodium bentonite as special admixture and crusher dust as fine aggregate
Multiscale and Multidisciplinary Modeling, Experiments and Design - - 2024
P. Teja Abhilash, P. V. V. Satyanarayana, K. Tharani, G. Sridhar Goud
Roller Compacted Concrete (RCC) is experiencing rapid growth in its usage all over the world. Thus, it is crucial to examine the characteristics of RCC. This research work investigates the durability studies of RCC with sodium bentonite as a special admixture and fine aggregate as crusher dust. Three different groups of concrete mixes are considered in this study. Each group has three mixes where ...... hiện toàn bộ
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