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- W3170751581 abstract "The main goal of Sustainable foundation is in term of cost and less use of natural resources as this field involves intensive consumption of energy and huge amount of natural resources. Hybrid foundations are complex foundation in terms of design and have significance in modern infrastructure development. These are used in situation where structures to support heavy load and the resulting settlement should remain within the acceptable limit. The analysis of this hybrid system of foundation is complex because there are elements such as pile, raft, and soil that affect the resultant settlement. This is because of inevitable interaction between soil and other elements and hybrid foundation. To understand this complex behavior neural models have been constructed to figure out the relative importance of different parameters with reference to load applied under various conditions. These models mimic the experimental setup and predict the resultant settlement in different conditions. The designing of neural models is based on the extent to incorporate experimental set up in their architecture design. The final optimized model predicts the settlements under various conditions and shows the relative effect of changeable (varied) parameters on settlement." @default.
- W3170751581 created "2021-06-22" @default.
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- W3170751581 date "2020-09-17" @default.
- W3170751581 modified "2023-09-24" @default.
- W3170751581 title "Using Neural Model for Mimicking the Behavior of Hybrid Foundation" @default.
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- W3170751581 doi "https://doi.org/10.1007/978-3-030-51354-2_33" @default.
- W3170751581 hasPublicationYear "2020" @default.
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