2021
DOI: 10.1007/s00158-021-02965-5
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Multi-objective seismic design of BRBs-reinforced concrete buildings using genetic algorithms

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Cited by 16 publications
(3 citation statements)
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“…Various approaches (e.g., force-based, [40][41][42][43] displacement-based, [44][45][46] energy-based, [47][48][49][50] and many more [51][52][53][54][55][56] ) have been proposed so far for the optimal design of building structures equipped with BRBs in the form of performance-based design methods. These approaches are often derived from the first generation of Performance-Based Earthquake Engineering (PBEE) 57,58 and evaluate the seismic performance of a building by defining limit states for different structural response parameters in a limited number of seismic hazard levels.…”
Section: Introductionmentioning
confidence: 99%
“…Various approaches (e.g., force-based, [40][41][42][43] displacement-based, [44][45][46] energy-based, [47][48][49][50] and many more [51][52][53][54][55][56] ) have been proposed so far for the optimal design of building structures equipped with BRBs in the form of performance-based design methods. These approaches are often derived from the first generation of Performance-Based Earthquake Engineering (PBEE) 57,58 and evaluate the seismic performance of a building by defining limit states for different structural response parameters in a limited number of seismic hazard levels.…”
Section: Introductionmentioning
confidence: 99%
“…This is illustrated in damage assessments of buildings in the countries of Turkey [4][5][6], Greece [7], Iran [8], Mexico [9], Korea [10], Pakistan [11], and Nepal [12]. Numerous scholars have extensively researched the seismic resilience of engineering structures [13][14][15][16]. The analysis of structures for seismic resistance utilizes a range of methodologies, encompassing response spectrum analysis, the base shear method (quasi-static method), and time history analysis.…”
Section: Introductionmentioning
confidence: 99%
“…A genetic algorithm (GA) is a useful technique in engineering to solve the problems of multi-variable optimisation. In the irrigation field, several researchers (Ferdyn-Grygierek & Grygierek, 2017;Leyva et al, 2021;Zhang et al, 2020) has applied a GA successfully to optimise designs. Valipour & Montazar (2012) proposed a new methodology using MS Visual Basic and the GA of the MATLAB software and concluded that it could optimise water distribution and farm size to achieve maximum irrigation status.…”
Section: Introductionmentioning
confidence: 99%