Academic Journal
Design of an Energy Pile Based on CPT Data Using Soft Computing Techniques.
Title: | Design of an Energy Pile Based on CPT Data Using Soft Computing Techniques. |
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Authors: | Kumar, Pramod, Samui, Pijush |
Source: | Infrastructures; Dec2022, Vol. 7 Issue 12, p169, 27p |
Abstract: | The present study focused on the design of geothermal energy piles based on cone penetration test (CPT) data, which was obtained from the Perniö test site in Finland. The geothermal piles are heat-capacity systems that provide both a supply of energy and structural support to civil engineering structures. In geotechnical engineering, it is necessary to provide an efficient, reliable, and precise method for calculating the group capacity of the energy piles. In this research, the first aim is to determine the most significant variables required to calculate the energy pile capacity, i.e., the pile length (L), pile diameter (D), average cone resistance ( q c 0 ), minimum cone resistance ( q c 1 ), average of minimum cone resistance ( q c 2 ), cone resistance ( q c ), Young's modulus (E), coefficient of thermal expansion ( α c ), and temperature change ( Δ T ). The values of q |
Subject Terms: | SOFT computing, CONE penetration tests, STANDARD deviations, YOUNG'S modulus, SUPPORT vector machines, DIAMETER, BOOSTING algorithms |
Geographic Terms: | FINLAND |
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ISSN: | 24123811 |
DOI: | 10.3390/infrastructures7120169 |
Database: | Complementary Index |
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