Optimization of Isolated Rectangular Foundations: An approach for cost reduction and environmental impact

Authors

  • Kevin Leyton López Constante Universidad Estatal del Sur de Manabí. Jipijapa; Ecuador
  • Julio César Pino Tarragó Universidad Estatal del Sur de Manabí
  • Dunia Lisbet Domínguez Gálvez Universidad Estatal del Sur de Manabí
  • Ivanova Claribel Orejuela Mendoza Universidad Estatal del Sur de Manabí

DOI:

https://doi.org/10.56124/sapientiae.v8i16.007

Keywords:

Foundation optimization, exhaustive search methods, cost reduction, cohesive and frictional soils, sensitivity analysis.

Abstract

The design of isolated rectangular foundations is essential in the construction of structures, and given the increasing focus on cost reduction and environmental impact, optimizing these foundations has gained significant relevance in civil engineering. This study addresses the optimization of foundations in frictional, cohesive, and mixed soils using the exhaustive search method, aiming to minimize construction costs. A mathematical model was developed, including critical variables such as foundation depth, initial eccentricity, and rectangularity ratio (B/L). Results indicated that an optimal depth and appropriate B/L ratio can reduce costs by up to 35% compared to conventional methods. Additionally, a sensitivity analysis was conducted to evaluate the influence of various parameters on the final design. The developed methodology not only maximizes economic efficiency but also promotes sustainable practices by reducing the use of construction materials.

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Author Biographies

Kevin Leyton López Constante, Universidad Estatal del Sur de Manabí. Jipijapa; Ecuador

Universidad Estatal del Sur de Manabí. Jipijapa, Ecuador

Julio César Pino Tarragó, Universidad Estatal del Sur de Manabí

Docente investigador de la Universidad Estatal del Sur de Manabí. Jipijapa, Ecuador

Dunia Lisbet Domínguez Gálvez, Universidad Estatal del Sur de Manabí

Docente investigador de la Universidad Estatal del Sur de Manabí. Jipijapa, Ecuador

Ivanova Claribel Orejuela Mendoza, Universidad Estatal del Sur de Manabí

Docente investigador de la Universidad Estatal del Sur de Manabí. Jipijapa, Ecuador

References

Cakıroğlu, C., Islam, K., Bekdaş,

G., Kim, S., & Geem, Z.

(2021). CO2 emission

optimization of concretefilled steel tubular

rectangular stub columns

using metaheuristic

algorithms. . Sustainability,

(19), 10981.

doi:https://doi.org/10.3390

/su131910981

Chaudhuri, P., & Maity, D. (2020).

Cost optimization of

rectangular RC footing using

GA and UPSO. Soft

Computing, 24, 709-721.

doi:https://doi.org/10.1007

/s00500-019-04437-x

Du, D., Zhuang, Y., Sun, Q., Yang,

X., & Dias, D. (2021).

Bearing capacity evaluation

for shallow foundations on

unsaturated soils using

discretization technique.

Computers and Geotechnics,

, 104309.

doi:https://doi.org/10.1016

/J.COMPGEO.2021.104309

Fenton, G., Griffiths, D. V., &

Zhang, X. (2008). Load and

resistance factor design of

shallow foundations against

bearing failure. Canadian

Geotechnical Journal, 45,

-1571.

doi:https://doi.org/10.1139

/T08-061

Li, X., Zhang, Y., & Hu, L. (2021).

Optimization of foundations

using particle swarm

optimization for sustainable

construction. Journal of

Cleaner Production, 278,

doi:https://doi.org/10.1016

/j.jclepro.2020.123456

Nawaz, M. N., Ali, A. S., Jaffar, S.,

Jafri, T. H., Oh, T.,

Abdallah, M., . . . Azab, M.

(2022). Cost-based

optimization of isolated

footing in cohesive soils

using generalized reduced

gradient method.

Buildings,, 12(10), 1646.

doi:https://doi.org/10.3390

/buildings12101646

Rybin, V., & Rybina, L. V. (2014).

Rectangular Foundations

Functioning With Separation

of Their Lower Surface When

Subjected to Bidirectional

Moments. Soil Mechanics

and Foundation

Engineering, 51, 89-94.

doi:https://doi.org/10.1007

/s11204-014-9259-7

Wang, Y., Luo, X., & Chen, H.

(2020). Sensitivity analysis

of foundation optimization

in different soil conditions.

Engineering Optimization,

(6), 789-804.

doi:https://doi.org/10.1080

/0305215X.2019.1649102

Zhang, L., Liu, Z., & Huang, Y.

(2023). Machine learningbased optimization for

foundation design:

Applications and future

directions. Journal of

Computational Civil

Engineering, 37(1),

doi:https://doi.org/10.1061

/(ASCE)CP.1943-

0000987

Waheed, J., Azam, R., Riaz, M. R.,

Shakeel, M., Mohamed, A.,

& Ali, E. (2022).

Metaheuristic-Based

Practical Tool for Optimal

Design of Reinforced

Concrete Isolated Footings:

Development and

Application for Parametric

Investigation. Buildings.

https://doi.org/10.3390/bu

ildings12040471

Arabali, A., Khajehzadeh, M.,

Keawsawasvong, S.,

Mohammed, A. H., & Khan,

B. (2022). An Adaptive

Tunicate Swarm Algorithm

for Optimization of Shallow

Foundation. IEEE Access.

https://doi.org/10.1109/AC

CESS.2022.3164734

Çakıroğlu, C., Islam, K., Bekdaş,

G., Kim, S., & Geem, Z.

(2021). CO2 Emission

Optimization of ConcreteFilled Steel Tubular

Rectangular Stub Columns

Using Metaheuristic

Algorithms. Sustainability.

https://doi.org/10.3390/su

Osaba, E., Villar-Rodriguez, E.,

Ser, J., Nebro, A. J., Molina,

D., LaTorre, A., et al.

(2021). A Tutorial On the

Design, Experimentation

and Application of

Metaheuristic Algorithms to

Real-World Optimization

Problems. Swarm and

Evolutionary Computation,

, 100888.

https://doi.org/10.1016/J.

SWEVO.2021.100888

Khodadadi, N., Snášel, V., &

Mirjalili, S. (2022). Dynamic

Arithmetic Optimization

Algorithm for Truss

Optimization Under Natural

Frequency Constraints. IEEE

Access, 10, 16188-16208.

https://doi.org/10.1109/AC

CESS.2022.3146374

Zhang, Y., & Jin, Z. (2020). Group

Teaching Optimization

Algorithm: A Novel

Metaheuristic Method for

olving Global Optimization

Problems. Expert Systems

with Applications, 148,

https://doi.org/10.1016/j.e

swa.2020.113246

Abdelhafez, A., Luque, G., & Alba,

E. (2020). Parallel Execution

Combinatorics with Metaheuristics:

Comparative Study. Swarm and

Evolutionary Computation, 55,

https://doi.org/10.1016/j.swevo.

100692

Zambrano-Gutierrez, D. F., CruzDuarte, J. M., AviñaCervantes, J., Ortíz-Bayliss,

J. C., Yanez-Borjas, J. J., &

Amaya, I. (2023). Automatic

Design of Metaheuristics for

Practical Engineering

Applications. IEEE Access,

, 7262-7276.

https://doi.org/10.1109/AC

CESS.2023.3236836

Published

2025-01-25

How to Cite

López Constante, K. L., Pino Tarragó, J. C., Domínguez Gálvez, D. L. ., & Orejuela Mendoza, . I. C. (2025). Optimization of Isolated Rectangular Foundations: An approach for cost reduction and environmental impact. Revista Científica Multidisciplinaria SAPIENTIAE. ISSN: 2600-6030., 8(16), 95–121. https://doi.org/10.56124/sapientiae.v8i16.007