Use of optimization for automatic grouping of beam cross-section dimensions in reinforced concrete building structures

Kripka, Moacir; Medeiros, Guilherme Fleith de; Lemonge, Afonso C. C.

doi:10.1016/j.engstruct.2015.05.001

Cited by 26 publications

(11 citation statements)

References 13 publications

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“…The reaction against sliding is defined by Eq. (10), where N' is the total sum of weights of the wall and ground located over the toe and the heel; µ is the base-friction coefficient, and Ep is the passive resistance in front of the toe, obtained by Eq. (11) [31].…”

Section: Structural Constraintsmentioning

confidence: 99%

“…The optimum design of frame structures was performed by using the Eagle Strategy with Differential Evolution [9]. Kripka et al [10] used SA to minimize the costs of the beams in RC buildings using a grid model. Carbonell et al [11] aimed to achieve the most economical design of RC road vaults by a multi-start global best descent local search, a meta-SA and a meta-TA.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of buttressed earth-retaining walls using hybrid harmony search algorithms

Molina-Moreno

García-Segura

Martí

et al. 2017

Engineering Structures

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This paper represents an economic optimization of buttressed earth-retaining walls. We explore the optimum solutions using a harmony search with an intensification stage through threshold accepting. The calibration of the resulting algorithm has been obtained as a result of several test runs for different parameters. A design parametric study was computed to walls in series from 4-16 m total height. The results showed different ratios of reinforcement per volume of concrete for three types of ground fill. Our main findings confirmed that the most sensitive variable for optimum walls is the wall-friction angle. The preference for wall-fill friction angles different to 0º in project design is confirmed. The type of fill is stated as the main key factor affecting the cost of optimum walls. The design parametric study shows that the soil foundation bearing capacity substantially affects costs, mainly in coarse granular fills (F1). In that sense, cost-optimum walls are less sensitive to the bearing capacity in mixed soils (F2) and fine soils of low plasticity (F3). Our results also showed that safety against sliding is a more influential factor for optimum buttressed walls than the overturning constraint. Finally, as for the results derived from the optimization procedure, a more suitable rule of thumb to dimension the footing thickness of the footing is proposed.

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Section: Structural Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization of buttressed earth-retaining walls using hybrid harmony search algorithms

Molina-Moreno

García-Segura

Martí

et al. 2017

Engineering Structures

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“…In these cases, it can be useful to use the concept of structural optimization. It is well known that structural optimization is an important tool, both for sizing structure members and for helping the designer find the most suitable structural form [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28]. Today, structural optimization is common in mechanical and aeronautical engineering, and in recent years it has been progressively adopted for structural-engineering applications, such as sizing building and bridge members [29][30][31][32][33][34][35][36], detailing reinforced concrete structures [37][38][39][40][41][42][43][44][45], shaping bridges [46][47][48][49][50], domes [51][52][53][54], and other threedimensional structures [55].…”

Section: Introductionmentioning

confidence: 99%

A Heuristic Approach to Identify the Steel Grid Direction of R/C Slabs Using the Yield-Line Method for Analysis

Fenu

Colasanti

Congiu

et al. 2019

Advances in Civil Engineering

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In the last few years, nonregular reinforced concrete (R/C) slabs have become more popular in buildings and bridges due to architectural or functional requirements. In these cases, an optimum design method to obtain the ultimate load capacity and the minimum reinforcement amount should be used. For simple R/C slabs, the yield-line method is extensively used in engineering practice. In addition to strength, the “true” failure mechanism is also obtained by identifying the parameters that define it and minimizing the collapse load. Unfortunately, when the mechanism is too complicated to be described or defined by several parameters (e.g., in slabs with complicated geometry), the method becomes more difficult because the system of nonlinear equations becomes harder to solve through traditional methods. In this case, an efficient and robust algorithm becomes necessary. In this paper, a structural analysis of R/C slabs is performed by using the yield-line method in association with a zero-th order optimization algorithm (the sequential simplex method) to avoid calculating gradients as well as any derivatives. The constraints that often limit these parameters are taken into account through the exterior penalty function method, leading to a successful solution of the problem. Considering that the direction of each yield-line is sought by minimizing the ultimate load and finding the parameters defining the collapse mechanism, another parameter concerned with the direction of an orthotropic reinforcement grid is introduced. In this way, the number of unknown parameters increases, but aside from obtaining the ultimate load and the parameters defining the collapse mechanism, the solution also finds both best and worst reinforcement orientations.

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“…However, Cohn and Dinovitzer [8] identified a great gap between theoretical work and the practical application of structural optimization. Recent research has been conducted with regard to heuristics and metaheuristics [9], such as Descent Local Search (DLS) [10], Genetic Algorithms (GAs) [11,12], evolutionary algorithms [13,14], Simulated Annealing (SA) [15,16], Variable Neighborhood Search (VNS) [17], Harmony Search (HS) [18,19], Ant Colony Optimization (ACO) [20], Glowworm Swarm Algorithm (GSA) [21], Eagle Strategy (ES) [22], and the Big Bang-Big Crunch algorithm (BB-BC) [23], among others.…”

Section: Introductionmentioning

confidence: 99%

Heuristics in optimal detailed design of precast road bridges

Piqueras

García-Segura

González-Vidosa

2017

Archives of Civil and Mechanical Engineering

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This paper deals with the cost optimization of road bridges consisting of concrete slabs prepared in situ and two precast-prestressed U-shaped beams of self-compacting concrete. It shows the efficiency of four heuristic algorithms applied to a problem of 59 discrete variables. The four algorithms are the Descent Local Search (DLS), a threshold accepting algorithm with mutation operation (TAMO), the Genetic Algorithm (GA), and the Memetic Algorithm (MA). The heuristic optimization algorithms are applied to a bridge with a span length of 35 m and a width of 12 m. A performance analysis is run for the different heuristics, based on a study of Pareto optimal solutions between execution time and efficiency. The best results were obtained with TAMO for a minimum cost of 104184 €. Among the key findings of the study, the practical use of these heuristics in real cases stands out. Furthermore, the knowledge gained from the investigation of the algorithms allows a range of values for the design optimization of such structures and pre-dimensioning of the variables to be recommended.

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Use of optimization for automatic grouping of beam cross-section dimensions in reinforced concrete building structures

Cited by 26 publications

References 13 publications

Optimization of buttressed earth-retaining walls using hybrid harmony search algorithms

Optimization of buttressed earth-retaining walls using hybrid harmony search algorithms

A Heuristic Approach to Identify the Steel Grid Direction of R/C Slabs Using the Yield-Line Method for Analysis

Heuristics in optimal detailed design of precast road bridges

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