A parametric study of optimum earth-retaining walls by simulated annealing

Piqueras, Víctor Yepes; Alcalà, Julián; Perea, Cristian; González-Vidosa, Fernando

doi:10.1016/j.engstruct.2007.05.023

Cited by 153 publications

(96 citation statements)

References 12 publications

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“…To improve the structural design and consequently reduce the material consumption and cost, a trial-and-error process was needed. Over the past few years, greater emphasis has been placed on using heuristic optimization techniques to reduce the cost of walls [1], bridge frames [2], bridge piers [3], road vaults [4] and precast road bridges [5,6]. However, the design techniques have changed towards an environmental vision.…”

Section: Introductionmentioning

confidence: 99%

Sustainable design using multiobjective optimization of high-strength concrete I-beams

García-Segura¹,

Piqueras²,

Alcalà³

2014

WIT Transactions on the Built Environment

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Sustainable designs require long-term environmental vision. To this end, this study proposes a methodology to design reinforced concrete I-beams based on multiobjective optimization techniques. The objective functions are the economic cost, the CO 2 emissions, the service life, and the overall safety coefficient. The procedure was applied to a simply supported concrete I-beam including several high-strength concrete mix compositions. The solution of this 15 m beam was defined by a total of 20 variables. Results indicate that highstrength concrete is used for long-term solutions. Further, the economic feasibility of low-carbon structures remaining in service for long periods and ensuring safety is proven. This methodology is widely applicable to different structure designs and therefore, gives engineers a worthy guide to enhance the sustainability of their designs.

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Section: Introductionmentioning

confidence: 99%

Sustainable design using multiobjective optimization of high-strength concrete I-beams

García-Segura¹,

Piqueras²,

Alcalà³

2014

WIT Transactions on the Built Environment

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“…While there is little research on optimization of PC structures [27][28][29][30][31], the literature does include a number of studies on optimizing real-life reinforced concrete (RC) structures [32][33][34][35][36]. Ohkubo et al [27] studied prestressed concrete box girder bridges and proposed a multicriteria fuzzy optimization of the total construction cost and aesthetic feeling.…”

Section: Introductionmentioning

confidence: 99%

Cost and CO2 emission optimization of precast–prestressed concrete U-beam road bridges by a hybrid glowworm swarm algorithm

Piqueras

Martí

García-Segura

2015

Automation in Construction

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128

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Regarding the material, high strength concrete is used as well as self-compacting concrete in beams.Results provide engineers with useful guidelines to design PC precast bridges. The analysis also revealed that reducing costs by 1 Euro can save up to 1.75 kg in CO 2 emissions. The parametric study indicates that optimal solutions in terms of monetary costs have quite a satisfactory environmental outcome and differ only slightly from the best possible environmental solution obtained.

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“…Many later studies have been undertaken to implement evolutionary programming, in particular GAs, to solve structural concrete optimization problems. Kicinger et al [13] provided a review of evolutionary programming and structural design, while the present authors' research group recently reported on non-evolutionary techniques to optimize retaining walls, frame bridges, building frames, bridge piers, prestressed concrete (PC) precast pedestrian bridges, and road vaults [14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Design of prestressed concrete precast road bridges with hybrid simulated annealing

Martí

González-Vidosa

Yepes

et al. 2013

Engineering Structures

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ElsevierMartí Albiñana, JV.; Gonzalez Vidosa, F.; Yepes Piqueras, V.; Alcalá González, J. (2013 AbstractThis paper describes one approach to the analysis and design of prestressed concrete precast road bridges, with double U-shaped cross-section and isostatic spans. The procedure used to solve the combinatorial problem is a variant of simulated annealing with a neighborhood move based on the mutation operator from the genetic algorithms (SAMO). This algorithm is applied to the economic cost of these structures at different stages of manufacturing, transportation and construction. The problem involved 59 discrete design variables for the geometry of the beam and the slab, materials in the two elements, as well as active and passive reinforcement. The parametric study showed a good correlation for the cost, geometric and reinforcement characteristics with the span length, which can be useful for the day-to-day design of PC precast bridges. A cost sensitivity analysis first indicates that a maximum 20% rise in steel costs leads to an 11.82% increase in the cost, while a 20% rise in concrete costs increases the cost up to 4.20%, namely 2.8 times less. The analysis also indicated that the characteristics of the cost-optimized bridges are somewhat influenced by different economic scenarios for steel and concrete costs. Finally, there is a growth in the volume of concrete when the steel cost rises; surprisingly, the variation in the volume of concrete is almost insensitive to its rising price.

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A parametric study of optimum earth-retaining walls by simulated annealing

Cited by 153 publications

References 12 publications

Sustainable design using multiobjective optimization of high-strength concrete I-beams

Sustainable design using multiobjective optimization of high-strength concrete I-beams

Cost and CO2 emission optimization of precast–prestressed concrete U-beam road bridges by a hybrid glowworm swarm algorithm

Design of prestressed concrete precast road bridges with hybrid simulated annealing

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