2019
DOI: 10.1016/j.aei.2019.100962
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Parametric modelling and evolutionary optimization for cost-optimal and low-carbon design of high-rise reinforced concrete buildings

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Cited by 91 publications
(37 citation statements)
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“…Their proposed method was used with four diverse climatic zones in Italy. In [131], also, the MOGA was employed for cost-optimal and low-carbon design of high-rise reinforced concrete buildings. Furthermore, [132] used the improved MOPSO algorithm for campus energy plant operation based on building heating load scenarios.…”
Section: Sustainability 2020 12 X For Peer Review 18 Of 38mentioning
confidence: 99%
“…Their proposed method was used with four diverse climatic zones in Italy. In [131], also, the MOGA was employed for cost-optimal and low-carbon design of high-rise reinforced concrete buildings. Furthermore, [132] used the improved MOPSO algorithm for campus energy plant operation based on building heating load scenarios.…”
Section: Sustainability 2020 12 X For Peer Review 18 Of 38mentioning
confidence: 99%
“…The algorithmic process for rebar optimization of isolated footings is similar as for beams, except that here only one layer of rebars is allowed. When rectangular footings are to be designed two-rebar packs are allowed at the ends oF the longer dimension cross-section (when sep ≥ sepmin over such ends of length 1 2 (L − B)) Fig. 2.…”
Section: Isolated Footingsmentioning
confidence: 99%
“…Regarding reinforced concrete buildings, the material wastes both for concrete and reinforcing bars are of great relevance. Gan et al [1] demonstrated that as much of 18.24% of CO2 emissions could be saved after performing an optimization structural procedure.…”
Section: Introductionmentioning
confidence: 99%
“…ey also concluded that the steel structure consumes more embodied energy compared to that of a reinforced concrete structure. Gan et al [72] developed an optimization approach for costoptimal and low-carbon design of the high-rise reinforced concrete structure by using parametric modelling and genetic algorithm to define the relationship between structural members and the behavior of the entire building structure.…”
Section: Sustainable Structural Design Strategies and Indicatorsmentioning
confidence: 99%