scholarly journals Bearing Capacity Analysis of Spun Pile Foundation in Gas Engine for Electrical Power Plant Project of Selayar

2020 ◽  
Vol 7 (2) ◽  
pp. 123
Author(s):  
Indra Mutiara
Keyword(s):  
Power Plant ◽  
Bearing Capacity ◽  
Pile Foundation ◽  
Electrical Power ◽  
Capacity Analysis ◽  
Water Tank ◽  
Gas Engine ◽  
Service Water ◽  
Allowable Bearing Capacity ◽  
Electrical Power Plant

Gas Engine for Electrical Power Plant Project of Selayar is a power plant which will be built in Selayar Regency. This plant uses gas and biodiesel as a fuel. The facilities needed in the power plant construction includes a Gas Engine, Service Water Tank and Biosolar Tank. This study aims to obtain the allowable bearing capacity of the prestressed spun pile foundation for the three buildings based on soil investigation data of SPT (Standard Penetration Test) at BH-1 (gas engine), BH-2 (service water tank) and BH-3 (biosolar tank). The Meyerhof formula is used for the calculation of ultimate bearing capacity analysis on prestressed spun piles with various diameters for each depth. Calculation of the allowable bearing capacity (Qa) of the foundation at a depth of 19 meters, using a spun pile with a diameter of 300 cm, obtained a Qa value of 94.17 tons at BH-1, 94.20 tons at BH-2, and 74.65 tons at BH-3. Using a spun pile with a diameter of 400 cm, the Qa values were 116.71 tons on BH-1, 117.64 tons on BH-2, and 91.92 tons on BH-3. Using a spun pile with a diameter of 500 cm, the Qa values were 168.67 tons on BH-1, 172.09 tons on BH-2, and 131.49 tons on BH-3. Meanwhile, the values of Qa obtained were 229.85 tons on BH-1, 236.66 tons on BH-2, and 177.79 tons on BH-3 with the use of a spun pile with a diameter of 600 cm.

Accurate Landing System of Electrical Power Plant Inspection UAV Based on Vision Guidance

2021 ◽  
Author(s):  
Qimeng Huang ◽  
Yanhua Shao ◽  
Yanying Mei ◽  
Zhiyuan Chang ◽  
Liangtao Zhong ◽  
...  
Keyword(s):  
Power Plant ◽  
Electrical Power ◽  
Vision Guidance ◽  
Plant Inspection ◽  
Electrical Power Plant

scholarly journals Bearing capacity analysis of helical pile foundation on peat

2018 ◽  
Vol 195 ◽  
pp. 03005
Author(s):  
Ferry Fatnanta ◽  
Andarsin Ongko
Keyword(s):  
Bearing Capacity ◽  
Pile Foundation ◽  
Load Test ◽  
Building Construction ◽  
Capacity Analysis ◽  
Cross Sectional ◽  
Tension Tests ◽  
Constant Rate ◽  
Helical Piles ◽  
The Individual

Peat is a kind of soil with a very low bearing capacity and high compressibility. Generally, a building construction on peat is done by using a wooden pile foundation. However, the length of the wooden piles is sometimes limited and causes the friction strength between the soil and wooden piles to became suboptimal. In order to enhance the bearing capacity of the foundation, the cross-sectional area of the foundation needs to be enlarged. One of the solutions for this problem is through helical piles. There are two methods to determine the helical pile`s bearing capacity, i.e. individual bearing and cylindrical shear methods. In this paper, bearing capacity prediction was discussed. A foundation load test was thoroughly done by a constant rate of penetration. This test consisted of compression and tension tests. The result was analyzed by individual bearing and cylindrical shear methods and next compared to each other. The result of the analysis has shown that the individual bearing method was more suitable in predicting helical piles’ bearing capacity since it produced the lowest error rate, with a magnitude of 21,31%.

scholarly journals Multiway PCA for Early Leak Detection in a Pipeline System of a Steam Boiler—Selected Case Studies

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1561 ◽  
Author(s):  
Miroslaw Swiercz ◽  
Halina Mroczkowska
Keyword(s):  
Power Plant ◽  
Electrical Power ◽  
Leak Detection ◽  
Batch Processes ◽  
Pipeline System ◽  
Steam Boiler ◽  
Process Variables ◽  
Line System ◽  
Confidence Ellipsoid ◽  
Electrical Power Plant

In the paper the usability of the Multiway PCA (MPCA) method for early detection of leakages in the pipeline system of a steam boiler in a thermal-electrical power plant is presented. A long segment of measurements of selected process variables was divided into a series of “batches” (representing daily recordings of normal behavior of the plant) and used to create the MPCA model of a “healthy” system in a reduced space of three principal components (PC). The periodically updated MPCA model was used to establish the confidence ellipsoid for the “healthy” system in the PC coordinates. The staff’s decision of the probable leak detection is supported by comparison of the current location of the operating point (on the “fault trajectory”) with the boundaries of the confidence ellipsoid. It must be emphasized that due to daily and seasonal changes of heat/electricity demands, the process variables have substantially greater variability than in the examples of batch processes studied in literature. Despite those real challenges for the MPCA method, numerical examples confirmed that the presented approach was able to foresee the leaks earlier than the operator, typically 3–5 days before the boiler shutdown. The presented methodology may be useful in implementation of an on-line system, developed to improve safety and maintenance of boilers in a thermal-electrical power plant.

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