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Reliability Design of Footings in Cohesionless Soils using Soft Computing Metamodelings

Reliability Design of Footings in Cohesionless Soils using Soft Computing Metamodelings

Anthony T. C. Goh, Wengang Zhang
Copyright: © 2016 |Pages: 23
ISBN13: 9781466694798|ISBN10: 1466694793|EISBN13: 9781466694804
DOI: 10.4018/978-1-4666-9479-8.ch016
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MLA

Goh, Anthony T. C., and Wengang Zhang. "Reliability Design of Footings in Cohesionless Soils using Soft Computing Metamodelings." Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering, edited by Pijush Samui, IGI Global, 2016, pp. 442-464. https://doi.org/10.4018/978-1-4666-9479-8.ch016

APA

Goh, A. T. & Zhang, W. (2016). Reliability Design of Footings in Cohesionless Soils using Soft Computing Metamodelings. In P. Samui (Ed.), Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering (pp. 442-464). IGI Global. https://doi.org/10.4018/978-1-4666-9479-8.ch016

Chicago

Goh, Anthony T. C., and Wengang Zhang. "Reliability Design of Footings in Cohesionless Soils using Soft Computing Metamodelings." In Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering, edited by Pijush Samui, 442-464. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9479-8.ch016

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Abstract

An extensive database of full-scale field load tests was used to build predictive models to determine the bearing capacity of footings under axial compression in cohesionless soils. Based on this database, soft computing techniques, i.e., the multivariate adaptive regression splines (MARS) and artificial neural networks (ANN) are adopted for comparison for surrogate model building on bearing capacity. The performances of the two computing techniques are compared. A reliability-based design of footings was then presented. It allows one to obtain the probability that the ultimate limit state was exceeded for a given soil variability.

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