Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
An automated approach for the design of Mechanically Stabilized Earth Walls incorporating metaheuristic optimization algorithms
Date
2019-01-01
Author
YALÇIN, YAĞIZER
Orhon, Murat
Pekcan, Onur
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
223
views
0
downloads
Cite This
Considered as cost-efficient, reliable and aesthetic alternatives to the conventional retaining structures, Mechanically Stabilized Earth Walls (MSEWs) have been increasingly used in civil engineering practice over the previous decades. The design of these structures is conventionally based on engineering guidelines, requiring the use of trial and error approaches to determine the design variables. Therefore, the quality and cost effectiveness of the design is limited with the effort, intuition, and experience of the engineer while the process transpires to be time-consuming, both of which can be solved by developing automated approaches. In order to address these issues, the present study introduces a novel framework to optimize the (i) reinforcement type, (ii) length, and (iii) layout of MSEWs for minimum cost, integrating metaheuristic optimization algorithms in compliance with the Federal Highway Administration guidelines. The framework is conjoined with optimization algorithms such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), and Differential Evolution (DE) and tested with a set of benchmark design problems that incorporate various types of MSEWs with different heights. The results are comparatively evaluated to assess the most effective optimization algorithm and validated using a well-known MSEW analysis and design software. The outcomes indicate that the proposed framework, implemented with a powerful optimization algorithm, can effectively produce the optimum design in a matter of seconds. In this sense, DE algorithm is proposed based on the improved results over GA, PSO, and ABC.
Subject Keywords
Mechanically Stabilized Earth Walls
,
Genetic Algorithm
,
Particle Swarm Optimization
,
Artificial Bee Colony Optimization
,
Differential Evolution
URI
https://hdl.handle.net/11511/35199
Journal
APPLIED SOFT COMPUTING
DOI
https://doi.org/10.1016/j.asoc.2018.09.039
Collections
Department of Civil Engineering, Article
Suggestions
OpenMETU
Core
A hybrid cuckoo search algorithm for cost optimization of mechanically stabilized earth walls
Altun, Murat; Pekcan, Onur ( Springer, 2020-01-01)
Having a wide range of applications in civil engineering practice, Mechanically Stabilized Earth Walls (MSEWs) are regarded as efficient and reliable alternatives to the conventional retaining structure types. As is often the case in engineering, the performance and cost-effectiveness of these structures rely on robust design strategies, which must be proficient to yield optimal solutions in multimodal spaces. While the inherent characteristics of engineering problems often render the design a challenging t...
A Computer vision based method for semi-automated rebar detection and measurement of reinforced concrete columns /
Hassan, Muhammad Usman; Kurç, Özgür; Department of Civil Engineering (2014)
As-built information of reinforced sections is necessary to ascertain structural characteristics from load carrying capacity, serviceability, structural integrity and adherence to code perspective. The objective of this research is to develop a semi-automated structural information acquisition method that can be used to determine as-built information regarding rebar grids of reinforced concrete columns. The technique involves application of photogrammetry, image processing and computer vision knowledge to o...
A Method for the design of FRC tunnel linings reinforced with FRP bars
Demir, Mutlu; Akyüz, Uğurhan; Department of Civil Engineering (2019)
There are some difficulties in the construction of precast conventional reinforced concrete tunnel segments. Due to corrosion problem of ordinary reinforcement, the task becomes more complicated. Moreover, the workmanship for the construction of segments is also very time consuming. There are some research for the design of tunnel segments with fiber reinforced polymer (FRP) bars. Besides, guidelines for the design of fiber reinforced concrete (FRC) tunnel linings are also available. This thesis provides a ...
Developing a structural optimization software for efficient and practical optimum design of real-world steel structures
Korucu, Aytaç; Hasançebi, Oğuzhan; Department of Civil Engineering (2022-8-10)
Structural engineers have to design not only safe and practical buildings in a reasonably short period but also guarantee that the design generated should be cost-efficient. However, the design of real-world structures in a traditional way is an extremely laborious and time-consuming task, and final designs are often uneconomical. In this study, a computationally efficient, design-driven optimization technique (Guided Evolution Strategy Optimization, GES) is developed for the optimal design of real-world st...
An empirical method for design of grouted bolts in rock tunnels based on the Geological Strength Index (GSI)
Osgoui, Reza R.; Unal, Erdal (Elsevier BV, 2009-08-14)
The procedure presented in this paper has been developed for the design of grouted rock bolts in rock tunnels during preliminary design stage. The proposed approach provides a step-by-step procedure to set up a series of practical guidelines for optimum pattern of rock bolting in a variety of rock mass qualities. For this purpose, a new formula for the estimation of the rock load (support pressure) is recommended. Due to its wide-spread acceptance in the field of rock engineering, the Geological Strength In...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
Y. YALÇIN, M. Orhon, and O. Pekcan, “An automated approach for the design of Mechanically Stabilized Earth Walls incorporating metaheuristic optimization algorithms,”
APPLIED SOFT COMPUTING
, pp. 547–566, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/35199.