Shear strength of RC beams. Precision, accuracy, safety and simplicity using genetic programming

Cladera, A.; Ordóñez, Juan Luis Pérez; Martínez-Abella, Fernando

doi:10.12989/cac.2014.14.4.479

Cited by 22 publications

(7 citation statements)

References 24 publications

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“…The factor depending on a/d will be taken from the empirical work performed with genetic programming in [44,45], where it was seen that the term a/d 0.21 correctly predicted the influence of this variable. The new combined size and slenderness effect factor is given in Eq.…”

Section: Derivation Of the Simplified Equations Considering Shear-flementioning

confidence: 99%

The compression chord capacity model for the shear design and assessment of reinforced and prestressed concrete beams

Cladera

Bernat

Bairán

et al. 2016

Structural Concrete

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Section: Derivation Of the Simplified Equations Considering Shear-flementioning

confidence: 99%

The compression chord capacity model for the shear design and assessment of reinforced and prestressed concrete beams

Cladera

Bernat

Bairán

et al. 2016

Structural Concrete

Self Cite

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“…Genetic programming (GP), an extension to genetic algorithm proposed by Koza, 15 is recently used in many civil engineering applications. [16][17][18][19] It is an evolutionary algorithm-based methodology inspired by biological evolution to solve the task of relating independent input parameter to an output parameter through linear or nonlinear equations. Similar to all evolutionary algorithms, mutation and crossover are the main operators used.…”

Section: Introductionmentioning

confidence: 99%

A genetic programming predictive model for parametric study of factors affecting strength of geopolymers

2015

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“…In addition, a new size effect factor was introduced according to Bazant's law, modified after an empirical work performed with genetic programming in [34], to account for the shear slenderness a/d…”

Section: Models Based On the Contribution Of The Uncracked Concrete C...mentioning

confidence: 99%

Questions on Shear Behavior of Structural Concrete and Answers Provided by Mechanical Models. The Challenge of Performance-Based Shear Design

Bernat¹

2023

hya

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The shear behavior and strength of reinforced and prestressed concrete structures is difficult to predict due to the complex resistant mechanisms that are mobilized and the different types of failure that can occur. This has given rise to many of the simplified formulations previously developed for shear calculation being empirical in nature, which lack a clear theoretical basis and they do not provide qualitative information on structural behavior. Therefore, performance-based design becomes difficult using such types of formulations. In this paper, some questions about shear behavior and design are raised, apparently without an immediate answer from the performance point of view, and possible answers based on structural mechanics are provided. The physical phenomena that determine the shear behavior, the resistant mechanisms that are developed, the fundamental parameters that govern them, to what extent they influence and how they are contemplated in some simplified formulations are analyzed. The importance of mechanical models is raised and some examples of how these models can be naturally adapted to multiple project situations, evaluation and reinforcement of existing structures are shown.

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Shear strength of RC beams. Precision, accuracy, safety and simplicity using genetic programming

Cited by 22 publications

References 24 publications

The compression chord capacity model for the shear design and assessment of reinforced and prestressed concrete beams

The compression chord capacity model for the shear design and assessment of reinforced and prestressed concrete beams

A genetic programming predictive model for parametric study of factors affecting strength of geopolymers

Questions on Shear Behavior of Structural Concrete and Answers Provided by Mechanical Models. The Challenge of Performance-Based Shear Design

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