Cost-Based Optimization of Isolated Footing in Cohesive Soils Using Generalized Reduced Gradient Method

This study presents a cost-based optimization model for the design of isolated foundations in cohesive soils. The optimization algorithm not only incorporates safety requirements in the form of ultimate limit state (ULS) and serviceability limit state (SLS) criteria but also deals with the economics...

Full description

Saved in:
Bibliographic Details
Published in:Buildings (Basel) 2022-10, Vol.12 (10), p.1646
Main Authors: Nawaz, Muhammad Naqeeb, Ali, Agha Shah, Jaffar, Syed Taseer Abbas, Jafri, Turab H., Oh, Tae-Min, Abdallah, Mirvat, Karam, Steve, Azab, Marc
Format: Article
Language:English
Subjects:
Algorithms
Clay soils
Cohesion
cohesive soil
Cohesive soils
Compressing
Compression index
Construction costs
Cost analysis
Cost control
Design
Design optimization
Design parameters
Economics
generalized reduced gradient
Genetic algorithms
Groundwater
Groundwater levels
isolated footing
Limit states
Load
Mechanical properties
Modulus of elasticity
Monte Carlo simulation
Optimization models
Optimization techniques
optimized design
Sensitivity analysis
Soil properties
Water table
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study presents a cost-based optimization model for the design of isolated foundations in cohesive soils. The optimization algorithm not only incorporates safety requirements in the form of ultimate limit state (ULS) and serviceability limit state (SLS) criteria but also deals with the economics simultaneously. In that regard, the generalized reduced gradient (GRG) method is used for the optimization purpose to achieve the least construction cost of an isolated foundation along with the integration of design parameters as optimization variables. The optimization technique is elaborated using a design example in silty clayey soil and the results of the optimized design are compared with those of the conventional design. The optimization model shows that the optimized design can reduce the construction cost by up to 44% as compared to the conventional design cost for the particular example. Moreover, a sensitivity analysis is also performed to evaluate the quantitative impact of cohesive soil properties, design load, and groundwater table on the construction cost. The results indicate that the construction cost majorly depends on the combined effect of four key parameters: Young’s modulus, recompression index, design load, and groundwater table.
ISSN:2075-5309
2075-5309
DOI:10.3390/buildings12101646